diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClient.java
index 496de9e90..99e954f4e 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClient.java
@@ -92,7 +92,7 @@
  * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
  */
 @BetaApi
-@Generated("by gapic-generator")
+@Generated("by gapic-generator-java")
 public class DatasetServiceClient implements BackgroundResource {
   private final DatasetServiceSettings settings;
   private final DatasetServiceStub stub;
@@ -276,8 +276,7 @@ public final UnaryCallable<GetDatasetRequest, Dataset> getDatasetCallable() {
    *
    * @param dataset Required. The Dataset which replaces the resource on the server.
    * @param updateMask Required. The update mask applies to the resource. For the `FieldMask`
-   *     definition, see
-   *     <p>[FieldMask](https: //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+   *     definition, see [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    *     Updatable fields:
    *     <p>&#42; `display_name` &#42; `description` &#42; `labels`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceSettings.java
index dfc367edc..1f03ae479 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceSettings.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceSettings.java
@@ -71,6 +71,7 @@
  * DatasetServiceSettings datasetServiceSettings = datasetServiceSettingsBuilder.build();
  * }</pre>
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class DatasetServiceSettings extends ClientSettings<DatasetServiceSettings> {
 
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceClient.java
index 83b583f35..b84ee6035 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceClient.java
@@ -96,7 +96,7 @@
  * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
  */
 @BetaApi
-@Generated("by gapic-generator")
+@Generated("by gapic-generator-java")
 public class EndpointServiceClient implements BackgroundResource {
   private final EndpointServiceSettings settings;
   private final EndpointServiceStub stub;
@@ -342,7 +342,8 @@ public final UnaryCallable<ListEndpointsRequest, ListEndpointsResponse> listEndp
    * Updates an Endpoint.
    *
    * @param endpoint Required. The Endpoint which replaces the resource on the server.
-   * @param updateMask Required. The update mask applies to the resource.
+   * @param updateMask Required. The update mask applies to the resource. See
+   *     [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
   public final Endpoint updateEndpoint(Endpoint endpoint, FieldMask updateMask) {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceSettings.java
index 0d18654ac..2a6a8584a 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceSettings.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceSettings.java
@@ -69,6 +69,7 @@
  * EndpointServiceSettings endpointServiceSettings = endpointServiceSettingsBuilder.build();
  * }</pre>
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class EndpointServiceSettings extends ClientSettings<EndpointServiceSettings> {
 
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceClient.java
index 7425d2019..8e1a31a45 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceClient.java
@@ -93,7 +93,7 @@
  * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
  */
 @BetaApi
-@Generated("by gapic-generator")
+@Generated("by gapic-generator-java")
 public class JobServiceClient implements BackgroundResource {
   private final JobServiceSettings settings;
   private final JobServiceStub stub;
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceSettings.java
index 3887fa8f6..643c8a2db 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceSettings.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceSettings.java
@@ -71,6 +71,7 @@
  * JobServiceSettings jobServiceSettings = jobServiceSettingsBuilder.build();
  * }</pre>
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class JobServiceSettings extends ClientSettings<JobServiceSettings> {
 
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceClient.java
index 5631dc8d4..b1ba9e2d4 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceClient.java
@@ -96,7 +96,7 @@
  * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
  */
 @BetaApi
-@Generated("by gapic-generator")
+@Generated("by gapic-generator-java")
 public class MigrationServiceClient implements BackgroundResource {
   private final MigrationServiceSettings settings;
   private final MigrationServiceStub stub;
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceSettings.java
index 37d770f56..8f084e1e6 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceSettings.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceSettings.java
@@ -68,6 +68,7 @@
  * MigrationServiceSettings migrationServiceSettings = migrationServiceSettingsBuilder.build();
  * }</pre>
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class MigrationServiceSettings extends ClientSettings<MigrationServiceSettings> {
 
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClient.java
index 1011361a2..98db0c3b1 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClient.java
@@ -94,7 +94,7 @@
  * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
  */
 @BetaApi
-@Generated("by gapic-generator")
+@Generated("by gapic-generator-java")
 public class ModelServiceClient implements BackgroundResource {
   private final ModelServiceSettings settings;
   private final ModelServiceStub stub;
@@ -338,9 +338,7 @@ public final UnaryCallable<ListModelsRequest, ListModelsResponse> listModelsCall
    *
    * @param model Required. The Model which replaces the resource on the server.
    * @param updateMask Required. The update mask applies to the resource. For the `FieldMask`
-   *     definition, see
-   *     <p>[FieldMask](https: //developers.google.com/protocol-buffers //
-   *     /docs/reference/google.protobuf#fieldmask).
+   *     definition, see [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
   public final Model updateModel(Model model, FieldMask updateMask) {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceSettings.java
index 333a9ee9b..8c7dbb2c3 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceSettings.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelServiceSettings.java
@@ -70,6 +70,7 @@
  * ModelServiceSettings modelServiceSettings = modelServiceSettingsBuilder.build();
  * }</pre>
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class ModelServiceSettings extends ClientSettings<ModelServiceSettings> {
 
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClient.java
index a803a8a6a..d5186847e 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClient.java
@@ -96,7 +96,7 @@
  * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
  */
 @BetaApi
-@Generated("by gapic-generator")
+@Generated("by gapic-generator-java")
 public class PipelineServiceClient implements BackgroundResource {
   private final PipelineServiceSettings settings;
   private final PipelineServiceStub stub;
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceSettings.java
index 9672468ae..4f1e9d135 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceSettings.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceSettings.java
@@ -69,6 +69,7 @@
  * PipelineServiceSettings pipelineServiceSettings = pipelineServiceSettingsBuilder.build();
  * }</pre>
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class PipelineServiceSettings extends ClientSettings<PipelineServiceSettings> {
 
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceClient.java
index 88ead5820..292105235 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceClient.java
@@ -84,7 +84,7 @@
  * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
  */
 @BetaApi
-@Generated("by gapic-generator")
+@Generated("by gapic-generator-java")
 public class PredictionServiceClient implements BackgroundResource {
   private final PredictionServiceSettings settings;
   private final PredictionServiceStub stub;
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceSettings.java
index d094cbc0c..403cd46ce 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceSettings.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceSettings.java
@@ -63,6 +63,7 @@
  * PredictionServiceSettings predictionServiceSettings = predictionServiceSettingsBuilder.build();
  * }</pre>
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class PredictionServiceSettings extends ClientSettings<PredictionServiceSettings> {
 
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/SpecialistPoolServiceClient.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/SpecialistPoolServiceClient.java
index 8723b96b1..f9039f781 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/SpecialistPoolServiceClient.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/SpecialistPoolServiceClient.java
@@ -101,7 +101,7 @@
  * <p>Please refer to the GitHub repository's samples for more quickstart code snippets.
  */
 @BetaApi
-@Generated("by gapic-generator")
+@Generated("by gapic-generator-java")
 public class SpecialistPoolServiceClient implements BackgroundResource {
   private final SpecialistPoolServiceSettings settings;
   private final SpecialistPoolServiceStub stub;
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/SpecialistPoolServiceSettings.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/SpecialistPoolServiceSettings.java
index 0f1f1fecc..6ff9a5274 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/SpecialistPoolServiceSettings.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/SpecialistPoolServiceSettings.java
@@ -70,6 +70,7 @@
  *     specialistPoolServiceSettingsBuilder.build();
  * }</pre>
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class SpecialistPoolServiceSettings extends ClientSettings<SpecialistPoolServiceSettings> {
 
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/DatasetServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/DatasetServiceStub.java
index 43e242b74..45de98a21 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/DatasetServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/DatasetServiceStub.java
@@ -20,6 +20,7 @@
 import static com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListDataItemsPagedResponse;
 import static com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListDatasetsPagedResponse;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.rpc.OperationCallable;
 import com.google.api.gax.rpc.UnaryCallable;
@@ -55,7 +56,8 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public abstract class DatasetServiceStub implements BackgroundResource {
 
   public OperationsStub getOperationsStub() {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/EndpointServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/EndpointServiceStub.java
index 72d4c8e7e..77a61562b 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/EndpointServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/EndpointServiceStub.java
@@ -18,6 +18,7 @@
 
 import static com.google.cloud.aiplatform.v1beta1.EndpointServiceClient.ListEndpointsPagedResponse;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.rpc.OperationCallable;
 import com.google.api.gax.rpc.UnaryCallable;
@@ -47,7 +48,8 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public abstract class EndpointServiceStub implements BackgroundResource {
 
   public OperationsStub getOperationsStub() {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcDatasetServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcDatasetServiceCallableFactory.java
index 867fbc8b4..131004953 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcDatasetServiceCallableFactory.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcDatasetServiceCallableFactory.java
@@ -16,6 +16,7 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.grpc.GrpcCallSettings;
 import com.google.api.gax.grpc.GrpcCallableFactory;
 import com.google.api.gax.grpc.GrpcStubCallableFactory;
@@ -41,7 +42,8 @@
  *
  * <p>This class is for advanced usage.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public class GrpcDatasetServiceCallableFactory implements GrpcStubCallableFactory {
 
   @Override
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcDatasetServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcDatasetServiceStub.java
index df5240454..6dcc2963d 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcDatasetServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcDatasetServiceStub.java
@@ -20,6 +20,7 @@
 import static com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListDataItemsPagedResponse;
 import static com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListDatasetsPagedResponse;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.core.BackgroundResourceAggregation;
 import com.google.api.gax.grpc.GrpcCallSettings;
@@ -66,6 +67,7 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class GrpcDatasetServiceStub extends DatasetServiceStub {
   private static final MethodDescriptor<CreateDatasetRequest, Operation>
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcEndpointServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcEndpointServiceCallableFactory.java
index 67f8d8310..1433e3b21 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcEndpointServiceCallableFactory.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcEndpointServiceCallableFactory.java
@@ -16,6 +16,7 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.grpc.GrpcCallSettings;
 import com.google.api.gax.grpc.GrpcCallableFactory;
 import com.google.api.gax.grpc.GrpcStubCallableFactory;
@@ -41,7 +42,8 @@
  *
  * <p>This class is for advanced usage.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public class GrpcEndpointServiceCallableFactory implements GrpcStubCallableFactory {
 
   @Override
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcEndpointServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcEndpointServiceStub.java
index ba20e502a..3c58ca08b 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcEndpointServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcEndpointServiceStub.java
@@ -18,6 +18,7 @@
 
 import static com.google.cloud.aiplatform.v1beta1.EndpointServiceClient.ListEndpointsPagedResponse;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.core.BackgroundResourceAggregation;
 import com.google.api.gax.grpc.GrpcCallSettings;
@@ -58,6 +59,7 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class GrpcEndpointServiceStub extends EndpointServiceStub {
   private static final MethodDescriptor<CreateEndpointRequest, Operation>
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcJobServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcJobServiceCallableFactory.java
index d1dcbdaa7..6d7e9dbde 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcJobServiceCallableFactory.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcJobServiceCallableFactory.java
@@ -16,6 +16,7 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.grpc.GrpcCallSettings;
 import com.google.api.gax.grpc.GrpcCallableFactory;
 import com.google.api.gax.grpc.GrpcStubCallableFactory;
@@ -41,7 +42,8 @@
  *
  * <p>This class is for advanced usage.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public class GrpcJobServiceCallableFactory implements GrpcStubCallableFactory {
 
   @Override
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcJobServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcJobServiceStub.java
index 472f4ccd2..467748f17 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcJobServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcJobServiceStub.java
@@ -21,6 +21,7 @@
 import static com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListDataLabelingJobsPagedResponse;
 import static com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListHyperparameterTuningJobsPagedResponse;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.core.BackgroundResourceAggregation;
 import com.google.api.gax.grpc.GrpcCallSettings;
@@ -75,6 +76,7 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class GrpcJobServiceStub extends JobServiceStub {
   private static final MethodDescriptor<CreateCustomJobRequest, CustomJob>
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcMigrationServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcMigrationServiceCallableFactory.java
index 3f9dd12b2..035e9aa32 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcMigrationServiceCallableFactory.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcMigrationServiceCallableFactory.java
@@ -16,6 +16,7 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.grpc.GrpcCallSettings;
 import com.google.api.gax.grpc.GrpcCallableFactory;
 import com.google.api.gax.grpc.GrpcStubCallableFactory;
@@ -41,7 +42,8 @@
  *
  * <p>This class is for advanced usage.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public class GrpcMigrationServiceCallableFactory implements GrpcStubCallableFactory {
 
   @Override
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcMigrationServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcMigrationServiceStub.java
index 4fcb60e3f..839250d8f 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcMigrationServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcMigrationServiceStub.java
@@ -18,6 +18,7 @@
 
 import static com.google.cloud.aiplatform.v1beta1.MigrationServiceClient.SearchMigratableResourcesPagedResponse;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.core.BackgroundResourceAggregation;
 import com.google.api.gax.grpc.GrpcCallSettings;
@@ -47,6 +48,7 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class GrpcMigrationServiceStub extends MigrationServiceStub {
   private static final MethodDescriptor<
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcModelServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcModelServiceCallableFactory.java
index f56cc2f5f..688783f6f 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcModelServiceCallableFactory.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcModelServiceCallableFactory.java
@@ -16,6 +16,7 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.grpc.GrpcCallSettings;
 import com.google.api.gax.grpc.GrpcCallableFactory;
 import com.google.api.gax.grpc.GrpcStubCallableFactory;
@@ -41,7 +42,8 @@
  *
  * <p>This class is for advanced usage.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public class GrpcModelServiceCallableFactory implements GrpcStubCallableFactory {
 
   @Override
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcModelServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcModelServiceStub.java
index 5684f69a2..e5dcb1a6e 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcModelServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcModelServiceStub.java
@@ -20,6 +20,7 @@
 import static com.google.cloud.aiplatform.v1beta1.ModelServiceClient.ListModelEvaluationsPagedResponse;
 import static com.google.cloud.aiplatform.v1beta1.ModelServiceClient.ListModelsPagedResponse;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.core.BackgroundResourceAggregation;
 import com.google.api.gax.grpc.GrpcCallSettings;
@@ -66,6 +67,7 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class GrpcModelServiceStub extends ModelServiceStub {
   private static final MethodDescriptor<UploadModelRequest, Operation> uploadModelMethodDescriptor =
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPipelineServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPipelineServiceCallableFactory.java
index c9289b973..a46d4d76b 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPipelineServiceCallableFactory.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPipelineServiceCallableFactory.java
@@ -16,6 +16,7 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.grpc.GrpcCallSettings;
 import com.google.api.gax.grpc.GrpcCallableFactory;
 import com.google.api.gax.grpc.GrpcStubCallableFactory;
@@ -41,7 +42,8 @@
  *
  * <p>This class is for advanced usage.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public class GrpcPipelineServiceCallableFactory implements GrpcStubCallableFactory {
 
   @Override
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPipelineServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPipelineServiceStub.java
index 84aaf3c5c..2974d20ad 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPipelineServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPipelineServiceStub.java
@@ -18,6 +18,7 @@
 
 import static com.google.cloud.aiplatform.v1beta1.PipelineServiceClient.ListTrainingPipelinesPagedResponse;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.core.BackgroundResourceAggregation;
 import com.google.api.gax.grpc.GrpcCallSettings;
@@ -51,6 +52,7 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class GrpcPipelineServiceStub extends PipelineServiceStub {
   private static final MethodDescriptor<CreateTrainingPipelineRequest, TrainingPipeline>
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPredictionServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPredictionServiceCallableFactory.java
index 62f166cdd..11d610333 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPredictionServiceCallableFactory.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPredictionServiceCallableFactory.java
@@ -16,6 +16,7 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.grpc.GrpcCallSettings;
 import com.google.api.gax.grpc.GrpcCallableFactory;
 import com.google.api.gax.grpc.GrpcStubCallableFactory;
@@ -41,7 +42,8 @@
  *
  * <p>This class is for advanced usage.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public class GrpcPredictionServiceCallableFactory implements GrpcStubCallableFactory {
 
   @Override
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPredictionServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPredictionServiceStub.java
index 9835ec3e8..b82d9fd46 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPredictionServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcPredictionServiceStub.java
@@ -16,6 +16,7 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.core.BackgroundResourceAggregation;
 import com.google.api.gax.grpc.GrpcCallSettings;
@@ -42,6 +43,7 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class GrpcPredictionServiceStub extends PredictionServiceStub {
   private static final MethodDescriptor<PredictRequest, PredictResponse> predictMethodDescriptor =
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcSpecialistPoolServiceCallableFactory.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcSpecialistPoolServiceCallableFactory.java
index ec9ec56bc..c639234c2 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcSpecialistPoolServiceCallableFactory.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcSpecialistPoolServiceCallableFactory.java
@@ -16,6 +16,7 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.grpc.GrpcCallSettings;
 import com.google.api.gax.grpc.GrpcCallableFactory;
 import com.google.api.gax.grpc.GrpcStubCallableFactory;
@@ -41,7 +42,8 @@
  *
  * <p>This class is for advanced usage.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public class GrpcSpecialistPoolServiceCallableFactory implements GrpcStubCallableFactory {
 
   @Override
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcSpecialistPoolServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcSpecialistPoolServiceStub.java
index 3983992be..e406240bb 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcSpecialistPoolServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/GrpcSpecialistPoolServiceStub.java
@@ -18,6 +18,7 @@
 
 import static com.google.cloud.aiplatform.v1beta1.SpecialistPoolServiceClient.ListSpecialistPoolsPagedResponse;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.core.BackgroundResourceAggregation;
 import com.google.api.gax.grpc.GrpcCallSettings;
@@ -53,6 +54,7 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
+@BetaApi
 @Generated("by gapic-generator-java")
 public class GrpcSpecialistPoolServiceStub extends SpecialistPoolServiceStub {
   private static final MethodDescriptor<CreateSpecialistPoolRequest, Operation>
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/JobServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/JobServiceStub.java
index 2d43a0e8b..35779a161 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/JobServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/JobServiceStub.java
@@ -21,6 +21,7 @@
 import static com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListDataLabelingJobsPagedResponse;
 import static com.google.cloud.aiplatform.v1beta1.JobServiceClient.ListHyperparameterTuningJobsPagedResponse;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.rpc.OperationCallable;
 import com.google.api.gax.rpc.UnaryCallable;
@@ -64,7 +65,8 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public abstract class JobServiceStub implements BackgroundResource {
 
   public OperationsStub getOperationsStub() {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/MigrationServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/MigrationServiceStub.java
index 18d58132f..0838a35d4 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/MigrationServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/MigrationServiceStub.java
@@ -18,6 +18,7 @@
 
 import static com.google.cloud.aiplatform.v1beta1.MigrationServiceClient.SearchMigratableResourcesPagedResponse;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.rpc.OperationCallable;
 import com.google.api.gax.rpc.UnaryCallable;
@@ -36,7 +37,8 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public abstract class MigrationServiceStub implements BackgroundResource {
 
   public OperationsStub getOperationsStub() {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/ModelServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/ModelServiceStub.java
index 04ee41e41..a0496db40 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/ModelServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/ModelServiceStub.java
@@ -20,6 +20,7 @@
 import static com.google.cloud.aiplatform.v1beta1.ModelServiceClient.ListModelEvaluationsPagedResponse;
 import static com.google.cloud.aiplatform.v1beta1.ModelServiceClient.ListModelsPagedResponse;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.rpc.OperationCallable;
 import com.google.api.gax.rpc.UnaryCallable;
@@ -55,7 +56,8 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public abstract class ModelServiceStub implements BackgroundResource {
 
   public OperationsStub getOperationsStub() {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/PipelineServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/PipelineServiceStub.java
index f0520c87a..3cba40f35 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/PipelineServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/PipelineServiceStub.java
@@ -18,6 +18,7 @@
 
 import static com.google.cloud.aiplatform.v1beta1.PipelineServiceClient.ListTrainingPipelinesPagedResponse;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.rpc.OperationCallable;
 import com.google.api.gax.rpc.UnaryCallable;
@@ -40,7 +41,8 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public abstract class PipelineServiceStub implements BackgroundResource {
 
   public OperationsStub getOperationsStub() {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/PredictionServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/PredictionServiceStub.java
index 8839170a4..0dc82229b 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/PredictionServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/PredictionServiceStub.java
@@ -16,6 +16,7 @@
 
 package com.google.cloud.aiplatform.v1beta1.stub;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.rpc.UnaryCallable;
 import com.google.cloud.aiplatform.v1beta1.ExplainRequest;
@@ -30,7 +31,8 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public abstract class PredictionServiceStub implements BackgroundResource {
 
   public UnaryCallable<PredictRequest, PredictResponse> predictCallable() {
diff --git a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/SpecialistPoolServiceStub.java b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/SpecialistPoolServiceStub.java
index 03588d0b4..3a30e42df 100644
--- a/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/SpecialistPoolServiceStub.java
+++ b/google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1beta1/stub/SpecialistPoolServiceStub.java
@@ -18,6 +18,7 @@
 
 import static com.google.cloud.aiplatform.v1beta1.SpecialistPoolServiceClient.ListSpecialistPoolsPagedResponse;
 
+import com.google.api.core.BetaApi;
 import com.google.api.gax.core.BackgroundResource;
 import com.google.api.gax.rpc.OperationCallable;
 import com.google.api.gax.rpc.UnaryCallable;
@@ -42,7 +43,8 @@
  *
  * <p>This class is for advanced usage and reflects the underlying API directly.
  */
-@Generated("by gapic-generator")
+@BetaApi
+@Generated("by gapic-generator-java")
 public abstract class SpecialistPoolServiceStub implements BackgroundResource {
 
   public OperationsStub getOperationsStub() {
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClientTest.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClientTest.java
index 3d923f8af..9a2f6acfe 100644
--- a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClientTest.java
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/DatasetServiceClientTest.java
@@ -102,6 +102,7 @@ public void createDatasetTest() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setEtag("etag3123477")
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     Operation resultOperation =
         Operation.newBuilder()
@@ -158,6 +159,7 @@ public void createDatasetTest2() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setEtag("etag3123477")
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     Operation resultOperation =
         Operation.newBuilder()
@@ -214,6 +216,7 @@ public void getDatasetTest() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setEtag("etag3123477")
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockDatasetService.addResponse(expectedResponse);
 
@@ -259,6 +262,7 @@ public void getDatasetTest2() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setEtag("etag3123477")
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockDatasetService.addResponse(expectedResponse);
 
@@ -304,6 +308,7 @@ public void updateDatasetTest() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setEtag("etag3123477")
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockDatasetService.addResponse(expectedResponse);
 
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceClientTest.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceClientTest.java
index 1e6103e42..fe3690851 100644
--- a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceClientTest.java
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/EndpointServiceClientTest.java
@@ -101,6 +101,7 @@ public void createEndpointTest() throws Exception {
             .putAllLabels(new HashMap<String, String>())
             .setCreateTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     Operation resultOperation =
         Operation.newBuilder()
@@ -158,6 +159,7 @@ public void createEndpointTest2() throws Exception {
             .putAllLabels(new HashMap<String, String>())
             .setCreateTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     Operation resultOperation =
         Operation.newBuilder()
@@ -215,6 +217,7 @@ public void getEndpointTest() throws Exception {
             .putAllLabels(new HashMap<String, String>())
             .setCreateTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockEndpointService.addResponse(expectedResponse);
 
@@ -261,6 +264,7 @@ public void getEndpointTest2() throws Exception {
             .putAllLabels(new HashMap<String, String>())
             .setCreateTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockEndpointService.addResponse(expectedResponse);
 
@@ -395,6 +399,7 @@ public void updateEndpointTest() throws Exception {
             .putAllLabels(new HashMap<String, String>())
             .setCreateTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockEndpointService.addResponse(expectedResponse);
 
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/JobServiceClientTest.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/JobServiceClientTest.java
index 7ffaecaaf..569fb1005 100644
--- a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/JobServiceClientTest.java
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/JobServiceClientTest.java
@@ -105,6 +105,7 @@ public void createCustomJobTest() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -154,6 +155,7 @@ public void createCustomJobTest2() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -203,6 +205,7 @@ public void getCustomJobTest() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -249,6 +252,7 @@ public void getCustomJobTest2() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -542,6 +546,7 @@ public void createDataLabelingJobTest() throws Exception {
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
             .addAllSpecialistPools(new ArrayList<String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .setActiveLearningConfig(ActiveLearningConfig.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
@@ -600,6 +605,7 @@ public void createDataLabelingJobTest2() throws Exception {
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
             .addAllSpecialistPools(new ArrayList<String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .setActiveLearningConfig(ActiveLearningConfig.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
@@ -658,6 +664,7 @@ public void getDataLabelingJobTest() throws Exception {
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
             .addAllSpecialistPools(new ArrayList<String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .setActiveLearningConfig(ActiveLearningConfig.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
@@ -714,6 +721,7 @@ public void getDataLabelingJobTest2() throws Exception {
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
             .addAllSpecialistPools(new ArrayList<String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .setActiveLearningConfig(ActiveLearningConfig.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
@@ -1019,6 +1027,7 @@ public void createHyperparameterTuningJobTest() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -1079,6 +1088,7 @@ public void createHyperparameterTuningJobTest2() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -1139,6 +1149,7 @@ public void getHyperparameterTuningJobTest() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -1196,6 +1207,7 @@ public void getHyperparameterTuningJobTest2() throws Exception {
             .setUpdateTime(Timestamp.newBuilder().build())
             .setError(Status.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -1510,6 +1522,7 @@ public void createBatchPredictionJobTest() throws Exception {
             .setEndTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -1573,6 +1586,7 @@ public void createBatchPredictionJobTest2() throws Exception {
             .setEndTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -1636,6 +1650,7 @@ public void getBatchPredictionJobTest() throws Exception {
             .setEndTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
@@ -1698,6 +1713,7 @@ public void getBatchPredictionJobTest2() throws Exception {
             .setEndTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockJobService.addResponse(expectedResponse);
 
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClientTest.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClientTest.java
index 51d21228c..3669fffb5 100644
--- a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClientTest.java
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/ModelServiceClientTest.java
@@ -213,6 +213,7 @@ public void getModelTest() throws Exception {
             .setExplanationSpec(ExplanationSpec.newBuilder().build())
             .setEtag("etag3123477")
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockModelService.addResponse(expectedResponse);
 
@@ -271,6 +272,7 @@ public void getModelTest2() throws Exception {
             .setExplanationSpec(ExplanationSpec.newBuilder().build())
             .setEtag("etag3123477")
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockModelService.addResponse(expectedResponse);
 
@@ -417,6 +419,7 @@ public void updateModelTest() throws Exception {
             .setExplanationSpec(ExplanationSpec.newBuilder().build())
             .setEtag("etag3123477")
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockModelService.addResponse(expectedResponse);
 
@@ -645,6 +648,7 @@ public void getModelEvaluationTest() throws Exception {
             .setCreateTime(Timestamp.newBuilder().build())
             .addAllSliceDimensions(new ArrayList<String>())
             .setModelExplanation(ModelExplanation.newBuilder().build())
+            .addAllExplanationSpecs(new ArrayList<ModelEvaluation.ModelEvaluationExplanationSpec>())
             .build();
     mockModelService.addResponse(expectedResponse);
 
@@ -692,6 +696,7 @@ public void getModelEvaluationTest2() throws Exception {
             .setCreateTime(Timestamp.newBuilder().build())
             .addAllSliceDimensions(new ArrayList<String>())
             .setModelExplanation(ModelExplanation.newBuilder().build())
+            .addAllExplanationSpecs(new ArrayList<ModelEvaluation.ModelEvaluationExplanationSpec>())
             .build();
     mockModelService.addResponse(expectedResponse);
 
diff --git a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClientTest.java b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClientTest.java
index 82c77c18a..2e169dfca 100644
--- a/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClientTest.java
+++ b/google-cloud-aiplatform/src/test/java/com/google/cloud/aiplatform/v1beta1/PipelineServiceClientTest.java
@@ -106,6 +106,7 @@ public void createTrainingPipelineTest() throws Exception {
             .setEndTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockPipelineService.addResponse(expectedResponse);
 
@@ -162,6 +163,7 @@ public void createTrainingPipelineTest2() throws Exception {
             .setEndTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockPipelineService.addResponse(expectedResponse);
 
@@ -218,6 +220,7 @@ public void getTrainingPipelineTest() throws Exception {
             .setEndTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockPipelineService.addResponse(expectedResponse);
 
@@ -272,6 +275,7 @@ public void getTrainingPipelineTest2() throws Exception {
             .setEndTime(Timestamp.newBuilder().build())
             .setUpdateTime(Timestamp.newBuilder().build())
             .putAllLabels(new HashMap<String, String>())
+            .setEncryptionSpec(EncryptionSpec.newBuilder().build())
             .build();
     mockPipelineService.addResponse(expectedResponse);
 
diff --git a/proto-google-cloud-aiplatform-v1beta1/clirr-ignored-differences.xml b/proto-google-cloud-aiplatform-v1beta1/clirr-ignored-differences.xml
new file mode 100644
index 000000000..c3da7444b
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1beta1/clirr-ignored-differences.xml
@@ -0,0 +1,338 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!-- see http://www.mojohaus.org/clirr-maven-plugin/examples/ignored-differences.html -->
+<!-- TODO: remove after next major version is released -->
+<differences>
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadataOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getPartialResults(*)</method>
+  </difference>
+
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadataOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getPartialResultsCount()</method>
+  </difference>
+
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadataOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getPartialResultsList()</method>
+  </difference>
+
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadataOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getPartialResultsOrBuilder(*)</method>
+  </difference>
+
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadataOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getPartialResultsOrBuilderList()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/BatchPredictionJobOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/BatchPredictionJobOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpecOrBuilder()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/BatchPredictionJobOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* hasEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/DataLabelingJobOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/DataLabelingJobOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpecOrBuilder()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/DataLabelingJobOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* hasEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/DatasetOrBuilder</className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/DatasetOrBuilder</className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpecOrBuilder()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/DatasetOrBuilder</className>
+    <differenceType>7012</differenceType>
+    <method>* hasEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/CustomJobOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/CustomJobOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpecOrBuilder()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/CustomJobOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* hasEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/EndpointOrBuilder</className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/EndpointOrBuilder</className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpecOrBuilder()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/EndpointOrBuilder</className>
+    <differenceType>7012</differenceType>
+    <method>* hasEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpecOrBuilder()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* hasEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpecOrBuilder()</method>
+  </difference>
+
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* hasEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getExplanationSpecs()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getExplanationSpecsCount()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getExplanationSpecsList()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getExplanationSpecsOrBuilder(*)</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getExplanationSpecsOrBuilderList()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ModelOrBuilder</className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ModelOrBuilder</className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpecOrBuilder()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ModelOrBuilder</className>
+    <differenceType>7012</differenceType>
+    <method>* hasEncryptionSpec()</method>
+  </difference>
+
+
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequestOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getFilter()</method>
+  </difference>
+
+  <difference>
+    <className>
+      com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequestOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getFilterBytes()</method>
+  </difference>
+
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/StudySpecOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getMeasurementSelectionType()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/StudySpecOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getMeasurementSelectionTypeValue()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/StudySpecOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getObservationNoise()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/StudySpecOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getObservationNoiseValue()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/TrainingPipelineOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpec()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/TrainingPipelineOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getEncryptionSpecOrBuilder()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/TrainingPipelineOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* hasEncryptionSpec()</method>
+  </difference>
+
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getExplanationSpecOverride()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getExplanationSpecOverrideOrBuilder()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* hasExplanationSpecOverride()</method>
+  </difference>
+
+  <difference>
+    <className>com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder
+    </className>
+    <differenceType>7012</differenceType>
+    <method>* getExplanationSpecs(*)</method>
+  </difference>
+
+</differences>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ActiveLearningConfig.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ActiveLearningConfig.java
index b3d49aff4..843b0bf65 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ActiveLearningConfig.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ActiveLearningConfig.java
@@ -22,7 +22,7 @@
  *
  *
  * <pre>
- * Paramaters that configure active learning pipeline. Active learning will
+ * Parameters that configure active learning pipeline. Active learning will
  *  label the data incrementally by several iterations. For every iteration, it
  *  will select a batch of data based on the sampling strategy.
  * </pre>
@@ -563,7 +563,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    *
    *
    * <pre>
-   * Paramaters that configure active learning pipeline. Active learning will
+   * Parameters that configure active learning pipeline. Active learning will
    *  label the data incrementally by several iterations. For every iteration, it
    *  will select a batch of data based on the sampling strategy.
    * </pre>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Attribution.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Attribution.java
index f09ee1f08..cd3cf1562 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Attribution.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Attribution.java
@@ -404,8 +404,8 @@ public int getOutputIndex(int index) {
    *
    *
    * <pre>
-   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
-   * predicted class name by a multi-classification Model.
+   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
+   * the predicted class name by a multi-classification Model.
    * This field is only populated iff the Model predicts display names as a
    * separate field along with the explained output. The predicted display name
    * must has the same shape of the explained output, and can be located using
@@ -432,8 +432,8 @@ public java.lang.String getOutputDisplayName() {
    *
    *
    * <pre>
-   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
-   * predicted class name by a multi-classification Model.
+   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
+   * the predicted class name by a multi-classification Model.
    * This field is only populated iff the Model predicts display names as a
    * separate field along with the explained output. The predicted display name
    * must has the same shape of the explained output, and can be located using
@@ -465,20 +465,19 @@ public com.google.protobuf.ByteString getOutputDisplayNameBytes() {
    * <pre>
    * Output only. Error of [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] caused by approximation used in the
    * explanation method. Lower value means more precise attributions.
-   * * For [Sampled Shapley
-   * attribution][ExplanationParameters.sampled_shapley_attribution], increasing
-   * [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] may reduce the error.
-   * * For [Integrated Gradients
-   * attribution][ExplanationParameters.integrated_gradients_attribution],
-   * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] may
+   * * For Sampled Shapley
+   * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.sampled_shapley_attribution],
+   * increasing [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] might reduce
+   * the error.
+   * * For Integrated Gradients
+   * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
+   * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] might
    * reduce the error.
-   * * For [XRAI
-   * attribution][ExplanationParameters.xrai_attribution], increasing
-   * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] may reduce the error.
-   * Refer to  AI Explanations Whitepaper for more details:
-   * https:
-   * //storage.googleapis.com/cloud-ai-whitep
-   * // apers/AI%20Explainability%20Whitepaper.pdf
+   * * For [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
+   * increasing
+   * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] might reduce the error.
+   * See [this introduction](/ai-platform-unified/docs/explainable-ai/overview)
+   * for more information.
    * </pre>
    *
    * <code>double approximation_error = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
@@ -1679,8 +1678,8 @@ public Builder clearOutputIndex() {
      *
      *
      * <pre>
-     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
-     * predicted class name by a multi-classification Model.
+     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
+     * the predicted class name by a multi-classification Model.
      * This field is only populated iff the Model predicts display names as a
      * separate field along with the explained output. The predicted display name
      * must has the same shape of the explained output, and can be located using
@@ -1706,8 +1705,8 @@ public java.lang.String getOutputDisplayName() {
      *
      *
      * <pre>
-     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
-     * predicted class name by a multi-classification Model.
+     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
+     * the predicted class name by a multi-classification Model.
      * This field is only populated iff the Model predicts display names as a
      * separate field along with the explained output. The predicted display name
      * must has the same shape of the explained output, and can be located using
@@ -1733,8 +1732,8 @@ public com.google.protobuf.ByteString getOutputDisplayNameBytes() {
      *
      *
      * <pre>
-     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
-     * predicted class name by a multi-classification Model.
+     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
+     * the predicted class name by a multi-classification Model.
      * This field is only populated iff the Model predicts display names as a
      * separate field along with the explained output. The predicted display name
      * must has the same shape of the explained output, and can be located using
@@ -1759,8 +1758,8 @@ public Builder setOutputDisplayName(java.lang.String value) {
      *
      *
      * <pre>
-     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
-     * predicted class name by a multi-classification Model.
+     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
+     * the predicted class name by a multi-classification Model.
      * This field is only populated iff the Model predicts display names as a
      * separate field along with the explained output. The predicted display name
      * must has the same shape of the explained output, and can be located using
@@ -1781,8 +1780,8 @@ public Builder clearOutputDisplayName() {
      *
      *
      * <pre>
-     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
-     * predicted class name by a multi-classification Model.
+     * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
+     * the predicted class name by a multi-classification Model.
      * This field is only populated iff the Model predicts display names as a
      * separate field along with the explained output. The predicted display name
      * must has the same shape of the explained output, and can be located using
@@ -1812,20 +1811,19 @@ public Builder setOutputDisplayNameBytes(com.google.protobuf.ByteString value) {
      * <pre>
      * Output only. Error of [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] caused by approximation used in the
      * explanation method. Lower value means more precise attributions.
-     * * For [Sampled Shapley
-     * attribution][ExplanationParameters.sampled_shapley_attribution], increasing
-     * [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] may reduce the error.
-     * * For [Integrated Gradients
-     * attribution][ExplanationParameters.integrated_gradients_attribution],
-     * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] may
+     * * For Sampled Shapley
+     * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.sampled_shapley_attribution],
+     * increasing [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] might reduce
+     * the error.
+     * * For Integrated Gradients
+     * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
+     * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] might
      * reduce the error.
-     * * For [XRAI
-     * attribution][ExplanationParameters.xrai_attribution], increasing
-     * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] may reduce the error.
-     * Refer to  AI Explanations Whitepaper for more details:
-     * https:
-     * //storage.googleapis.com/cloud-ai-whitep
-     * // apers/AI%20Explainability%20Whitepaper.pdf
+     * * For [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
+     * increasing
+     * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] might reduce the error.
+     * See [this introduction](/ai-platform-unified/docs/explainable-ai/overview)
+     * for more information.
      * </pre>
      *
      * <code>double approximation_error = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
@@ -1842,20 +1840,19 @@ public double getApproximationError() {
      * <pre>
      * Output only. Error of [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] caused by approximation used in the
      * explanation method. Lower value means more precise attributions.
-     * * For [Sampled Shapley
-     * attribution][ExplanationParameters.sampled_shapley_attribution], increasing
-     * [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] may reduce the error.
-     * * For [Integrated Gradients
-     * attribution][ExplanationParameters.integrated_gradients_attribution],
-     * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] may
+     * * For Sampled Shapley
+     * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.sampled_shapley_attribution],
+     * increasing [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] might reduce
+     * the error.
+     * * For Integrated Gradients
+     * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
+     * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] might
      * reduce the error.
-     * * For [XRAI
-     * attribution][ExplanationParameters.xrai_attribution], increasing
-     * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] may reduce the error.
-     * Refer to  AI Explanations Whitepaper for more details:
-     * https:
-     * //storage.googleapis.com/cloud-ai-whitep
-     * // apers/AI%20Explainability%20Whitepaper.pdf
+     * * For [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
+     * increasing
+     * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] might reduce the error.
+     * See [this introduction](/ai-platform-unified/docs/explainable-ai/overview)
+     * for more information.
      * </pre>
      *
      * <code>double approximation_error = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
@@ -1875,20 +1872,19 @@ public Builder setApproximationError(double value) {
      * <pre>
      * Output only. Error of [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] caused by approximation used in the
      * explanation method. Lower value means more precise attributions.
-     * * For [Sampled Shapley
-     * attribution][ExplanationParameters.sampled_shapley_attribution], increasing
-     * [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] may reduce the error.
-     * * For [Integrated Gradients
-     * attribution][ExplanationParameters.integrated_gradients_attribution],
-     * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] may
+     * * For Sampled Shapley
+     * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.sampled_shapley_attribution],
+     * increasing [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] might reduce
+     * the error.
+     * * For Integrated Gradients
+     * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
+     * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] might
      * reduce the error.
-     * * For [XRAI
-     * attribution][ExplanationParameters.xrai_attribution], increasing
-     * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] may reduce the error.
-     * Refer to  AI Explanations Whitepaper for more details:
-     * https:
-     * //storage.googleapis.com/cloud-ai-whitep
-     * // apers/AI%20Explainability%20Whitepaper.pdf
+     * * For [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
+     * increasing
+     * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] might reduce the error.
+     * See [this introduction](/ai-platform-unified/docs/explainable-ai/overview)
+     * for more information.
      * </pre>
      *
      * <code>double approximation_error = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AttributionOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AttributionOrBuilder.java
index 48bc07ced..3dc3f1e63 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AttributionOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/AttributionOrBuilder.java
@@ -214,8 +214,8 @@ public interface AttributionOrBuilder
    *
    *
    * <pre>
-   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
-   * predicted class name by a multi-classification Model.
+   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
+   * the predicted class name by a multi-classification Model.
    * This field is only populated iff the Model predicts display names as a
    * separate field along with the explained output. The predicted display name
    * must has the same shape of the explained output, and can be located using
@@ -231,8 +231,8 @@ public interface AttributionOrBuilder
    *
    *
    * <pre>
-   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
-   * predicted class name by a multi-classification Model.
+   * Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
+   * the predicted class name by a multi-classification Model.
    * This field is only populated iff the Model predicts display names as a
    * separate field along with the explained output. The predicted display name
    * must has the same shape of the explained output, and can be located using
@@ -251,20 +251,19 @@ public interface AttributionOrBuilder
    * <pre>
    * Output only. Error of [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] caused by approximation used in the
    * explanation method. Lower value means more precise attributions.
-   * * For [Sampled Shapley
-   * attribution][ExplanationParameters.sampled_shapley_attribution], increasing
-   * [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] may reduce the error.
-   * * For [Integrated Gradients
-   * attribution][ExplanationParameters.integrated_gradients_attribution],
-   * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] may
+   * * For Sampled Shapley
+   * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.sampled_shapley_attribution],
+   * increasing [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] might reduce
+   * the error.
+   * * For Integrated Gradients
+   * [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
+   * increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] might
    * reduce the error.
-   * * For [XRAI
-   * attribution][ExplanationParameters.xrai_attribution], increasing
-   * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] may reduce the error.
-   * Refer to  AI Explanations Whitepaper for more details:
-   * https:
-   * //storage.googleapis.com/cloud-ai-whitep
-   * // apers/AI%20Explainability%20Whitepaper.pdf
+   * * For [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
+   * increasing
+   * [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] might reduce the error.
+   * See [this introduction](/ai-platform-unified/docs/explainable-ai/overview)
+   * for more information.
    * </pre>
    *
    * <code>double approximation_error = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadata.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadata.java
index e8c8039c3..dbfb12ec4 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadata.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadata.java
@@ -39,7 +39,9 @@ private BatchMigrateResourcesOperationMetadata(
     super(builder);
   }
 
-  private BatchMigrateResourcesOperationMetadata() {}
+  private BatchMigrateResourcesOperationMetadata() {
+    partialResults_ = java.util.Collections.emptyList();
+  }
 
   @java.lang.Override
   @SuppressWarnings({"unused"})
@@ -60,6 +62,7 @@ private BatchMigrateResourcesOperationMetadata(
     if (extensionRegistry == null) {
       throw new java.lang.NullPointerException();
     }
+    int mutable_bitField0_ = 0;
     com.google.protobuf.UnknownFieldSet.Builder unknownFields =
         com.google.protobuf.UnknownFieldSet.newBuilder();
     try {
@@ -88,6 +91,22 @@ private BatchMigrateResourcesOperationMetadata(
 
               break;
             }
+          case 18:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                partialResults_ =
+                    new java.util.ArrayList<
+                        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                            .PartialResult>();
+                mutable_bitField0_ |= 0x00000001;
+              }
+              partialResults_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                          .PartialResult.parser(),
+                      extensionRegistry));
+              break;
+            }
           default:
             {
               if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
@@ -102,6 +121,9 @@ private BatchMigrateResourcesOperationMetadata(
     } catch (java.io.IOException e) {
       throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
     } finally {
+      if (((mutable_bitField0_ & 0x00000001) != 0)) {
+        partialResults_ = java.util.Collections.unmodifiableList(partialResults_);
+      }
       this.unknownFields = unknownFields.build();
       makeExtensionsImmutable();
     }
@@ -123,53 +145,1861 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
                 .class);
   }
 
-  public static final int GENERIC_METADATA_FIELD_NUMBER = 1;
-  private com.google.cloud.aiplatform.v1beta1.GenericOperationMetadata genericMetadata_;
+  public interface PartialResultOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * <pre>
+     * The error result of the migration request in case of failure.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 2;</code>
+     *
+     * @return Whether the error field is set.
+     */
+    boolean hasError();
+    /**
+     *
+     *
+     * <pre>
+     * The error result of the migration request in case of failure.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 2;</code>
+     *
+     * @return The error.
+     */
+    com.google.rpc.Status getError();
+    /**
+     *
+     *
+     * <pre>
+     * The error result of the migration request in case of failure.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 2;</code>
+     */
+    com.google.rpc.StatusOrBuilder getErrorOrBuilder();
+
+    /**
+     *
+     *
+     * <pre>
+     * Migrated model resource name.
+     * </pre>
+     *
+     * <code>string model = 3 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The model.
+     */
+    java.lang.String getModel();
+    /**
+     *
+     *
+     * <pre>
+     * Migrated model resource name.
+     * </pre>
+     *
+     * <code>string model = 3 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The bytes for model.
+     */
+    com.google.protobuf.ByteString getModelBytes();
+
+    /**
+     *
+     *
+     * <pre>
+     * Migrated dataset resource name.
+     * </pre>
+     *
+     * <code>string dataset = 4 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The dataset.
+     */
+    java.lang.String getDataset();
+    /**
+     *
+     *
+     * <pre>
+     * Migrated dataset resource name.
+     * </pre>
+     *
+     * <code>string dataset = 4 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The bytes for dataset.
+     */
+    com.google.protobuf.ByteString getDatasetBytes();
+
+    /**
+     *
+     *
+     * <pre>
+     * It's the same as the value in
+     * [MigrateResourceRequest.migrate_resource_requests][].
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+     *
+     * @return Whether the request field is set.
+     */
+    boolean hasRequest();
+    /**
+     *
+     *
+     * <pre>
+     * It's the same as the value in
+     * [MigrateResourceRequest.migrate_resource_requests][].
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+     *
+     * @return The request.
+     */
+    com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest getRequest();
+    /**
+     *
+     *
+     * <pre>
+     * It's the same as the value in
+     * [MigrateResourceRequest.migrate_resource_requests][].
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+     */
+    com.google.cloud.aiplatform.v1beta1.MigrateResourceRequestOrBuilder getRequestOrBuilder();
+
+    public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+            .ResultCase
+        getResultCase();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Represents a partial result in batch migration opreation for one
+   * [MigrateResourceRequest][google.cloud.aiplatform.v1beta1.MigrateResourceRequest].
+   * </pre>
+   *
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult}
+   */
+  public static final class PartialResult extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult)
+      PartialResultOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use PartialResult.newBuilder() to construct.
+    private PartialResult(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+      super(builder);
+    }
+
+    private PartialResult() {}
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new PartialResult();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private PartialResult(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.Builder subBuilder =
+                    null;
+                if (request_ != null) {
+                  subBuilder = request_.toBuilder();
+                }
+                request_ =
+                    input.readMessage(
+                        com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.parser(),
+                        extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom(request_);
+                  request_ = subBuilder.buildPartial();
+                }
+
+                break;
+              }
+            case 18:
+              {
+                com.google.rpc.Status.Builder subBuilder = null;
+                if (resultCase_ == 2) {
+                  subBuilder = ((com.google.rpc.Status) result_).toBuilder();
+                }
+                result_ = input.readMessage(com.google.rpc.Status.parser(), extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom((com.google.rpc.Status) result_);
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+                resultCase_ = 3;
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+                break;
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+                resultCase_ = 4;
+                result_ = s;
+                break;
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+      } catch (java.io.IOException e) {
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+      } finally {
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+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1beta1.MigrationServiceProto
+          .internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_PartialResult_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
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+                  .PartialResult.Builder.class);
+    }
+
+    private int resultCase_ = 0;
+    private java.lang.Object result_;
+
+    public enum ResultCase
+        implements
+            com.google.protobuf.Internal.EnumLite,
+            com.google.protobuf.AbstractMessage.InternalOneOfEnum {
+      ERROR(2),
+      MODEL(3),
+      DATASET(4),
+      RESULT_NOT_SET(0);
+      private final int value;
+
+      private ResultCase(int value) {
+        this.value = value;
+      }
+      /**
+       * @param value The number of the enum to look for.
+       * @return The enum associated with the given number.
+       * @deprecated Use {@link #forNumber(int)} instead.
+       */
+      @java.lang.Deprecated
+      public static ResultCase valueOf(int value) {
+        return forNumber(value);
+      }
+
+      public static ResultCase forNumber(int value) {
+        switch (value) {
+          case 2:
+            return ERROR;
+          case 3:
+            return MODEL;
+          case 4:
+            return DATASET;
+          case 0:
+            return RESULT_NOT_SET;
+          default:
+            return null;
+        }
+      }
+
+      public int getNumber() {
+        return this.value;
+      }
+    };
+
+    public ResultCase getResultCase() {
+      return ResultCase.forNumber(resultCase_);
+    }
+
+    public static final int ERROR_FIELD_NUMBER = 2;
+    /**
+     *
+     *
+     * <pre>
+     * The error result of the migration request in case of failure.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 2;</code>
+     *
+     * @return Whether the error field is set.
+     */
+    @java.lang.Override
+    public boolean hasError() {
+      return resultCase_ == 2;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The error result of the migration request in case of failure.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 2;</code>
+     *
+     * @return The error.
+     */
+    @java.lang.Override
+    public com.google.rpc.Status getError() {
+      if (resultCase_ == 2) {
+        return (com.google.rpc.Status) result_;
+      }
+      return com.google.rpc.Status.getDefaultInstance();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The error result of the migration request in case of failure.
+     * </pre>
+     *
+     * <code>.google.rpc.Status error = 2;</code>
+     */
+    @java.lang.Override
+    public com.google.rpc.StatusOrBuilder getErrorOrBuilder() {
+      if (resultCase_ == 2) {
+        return (com.google.rpc.Status) result_;
+      }
+      return com.google.rpc.Status.getDefaultInstance();
+    }
+
+    public static final int MODEL_FIELD_NUMBER = 3;
+    /**
+     *
+     *
+     * <pre>
+     * Migrated model resource name.
+     * </pre>
+     *
+     * <code>string model = 3 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The model.
+     */
+    public java.lang.String getModel() {
+      java.lang.Object ref = "";
+      if (resultCase_ == 3) {
+        ref = result_;
+      }
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        if (resultCase_ == 3) {
+          result_ = s;
+        }
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Migrated model resource name.
+     * </pre>
+     *
+     * <code>string model = 3 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The bytes for model.
+     */
+    public com.google.protobuf.ByteString getModelBytes() {
+      java.lang.Object ref = "";
+      if (resultCase_ == 3) {
+        ref = result_;
+      }
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        if (resultCase_ == 3) {
+          result_ = b;
+        }
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int DATASET_FIELD_NUMBER = 4;
+    /**
+     *
+     *
+     * <pre>
+     * Migrated dataset resource name.
+     * </pre>
+     *
+     * <code>string dataset = 4 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The dataset.
+     */
+    public java.lang.String getDataset() {
+      java.lang.Object ref = "";
+      if (resultCase_ == 4) {
+        ref = result_;
+      }
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        if (resultCase_ == 4) {
+          result_ = s;
+        }
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Migrated dataset resource name.
+     * </pre>
+     *
+     * <code>string dataset = 4 [(.google.api.resource_reference) = { ... }</code>
+     *
+     * @return The bytes for dataset.
+     */
+    public com.google.protobuf.ByteString getDatasetBytes() {
+      java.lang.Object ref = "";
+      if (resultCase_ == 4) {
+        ref = result_;
+      }
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        if (resultCase_ == 4) {
+          result_ = b;
+        }
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int REQUEST_FIELD_NUMBER = 1;
+    private com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request_;
+    /**
+     *
+     *
+     * <pre>
+     * It's the same as the value in
+     * [MigrateResourceRequest.migrate_resource_requests][].
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+     *
+     * @return Whether the request field is set.
+     */
+    @java.lang.Override
+    public boolean hasRequest() {
+      return request_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * It's the same as the value in
+     * [MigrateResourceRequest.migrate_resource_requests][].
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+     *
+     * @return The request.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest getRequest() {
+      return request_ == null
+          ? com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.getDefaultInstance()
+          : request_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * It's the same as the value in
+     * [MigrateResourceRequest.migrate_resource_requests][].
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.MigrateResourceRequestOrBuilder
+        getRequestOrBuilder() {
+      return getRequest();
+    }
+
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+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
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+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj
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+
+      if (hasRequest() != other.hasRequest()) return false;
+      if (hasRequest()) {
+        if (!getRequest().equals(other.getRequest())) return false;
+      }
+      if (!getResultCase().equals(other.getResultCase())) return false;
+      switch (resultCase_) {
+        case 2:
+          if (!getError().equals(other.getError())) return false;
+          break;
+        case 3:
+          if (!getModel().equals(other.getModel())) return false;
+          break;
+        case 4:
+          if (!getDataset().equals(other.getDataset())) return false;
+          break;
+        case 0:
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+      return true;
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+      int hash = 41;
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+        hash = (53 * hash) + getRequest().hashCode();
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+          hash = (53 * hash) + getModel().hashCode();
+          break;
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+          hash = (37 * hash) + DATASET_FIELD_NUMBER;
+          hash = (53 * hash) + getDataset().hashCode();
+          break;
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+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
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+    public static com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseFrom(java.nio.ByteBuffer data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseFrom(
+            java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
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+
+    public static com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseFrom(com.google.protobuf.ByteString data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
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+    public static com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseFrom(
+            com.google.protobuf.ByteString data,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+      return PARSER.parseFrom(data, extensionRegistry);
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+    public static com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
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+
+    public static com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
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+            .PartialResult
+        parseFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
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+    public static com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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+    public static com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
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+
+    public static com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseDelimitedFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
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+    public static com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        parseFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+            prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Represents a partial result in batch migration opreation for one
+     * [MigrateResourceRequest][google.cloud.aiplatform.v1beta1.MigrateResourceRequest].
+     * </pre>
+     *
+     * Protobuf type {@code
+     * google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult)
+        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResultOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1beta1.MigrationServiceProto
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+      }
+
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+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
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+                    .PartialResult.Builder.class);
+      }
+
+      // Construct using
+      // com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
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+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
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+        maybeForceBuilderInitialization();
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+      private void maybeForceBuilderInitialization() {
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+      @java.lang.Override
+      public Builder clear() {
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+        if (requestBuilder_ == null) {
+          request_ = null;
+        } else {
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+          requestBuilder_ = null;
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+        resultCase_ = 0;
+        result_ = null;
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.aiplatform.v1beta1.MigrationServiceProto
+            .internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_PartialResult_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+              .PartialResult
+          getDefaultInstanceForType() {
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+            .PartialResult.getDefaultInstance();
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+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+              .PartialResult
+          build() {
+        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+            result = buildPartial();
+        if (!result.isInitialized()) {
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+        }
+        return result;
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+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+              .PartialResult
+          buildPartial() {
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+      public Builder addRepeatedField(
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+      @java.lang.Override
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+        if (other
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+
+      public Builder mergeFrom(
+          com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+              other) {
+        if (other
+            == com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                .PartialResult.getDefaultInstance()) return this;
+        if (other.hasRequest()) {
+          mergeRequest(other.getRequest());
+        }
+        switch (other.getResultCase()) {
+          case ERROR:
+            {
+              mergeError(other.getError());
+              break;
+            }
+          case MODEL:
+            {
+              resultCase_ = 3;
+              result_ = other.result_;
+              onChanged();
+              break;
+            }
+          case DATASET:
+            {
+              resultCase_ = 4;
+              result_ = other.result_;
+              onChanged();
+              break;
+            }
+          case RESULT_NOT_SET:
+            {
+              break;
+            }
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+            parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                      .PartialResult)
+                  e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private int resultCase_ = 0;
+      private java.lang.Object result_;
+
+      public ResultCase getResultCase() {
+        return ResultCase.forNumber(resultCase_);
+      }
+
+      public Builder clearResult() {
+        resultCase_ = 0;
+        result_ = null;
+        onChanged();
+        return this;
+      }
+
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.rpc.Status, com.google.rpc.Status.Builder, com.google.rpc.StatusOrBuilder>
+          errorBuilder_;
+      /**
+       *
+       *
+       * <pre>
+       * The error result of the migration request in case of failure.
+       * </pre>
+       *
+       * <code>.google.rpc.Status error = 2;</code>
+       *
+       * @return Whether the error field is set.
+       */
+      @java.lang.Override
+      public boolean hasError() {
+        return resultCase_ == 2;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The error result of the migration request in case of failure.
+       * </pre>
+       *
+       * <code>.google.rpc.Status error = 2;</code>
+       *
+       * @return The error.
+       */
+      @java.lang.Override
+      public com.google.rpc.Status getError() {
+        if (errorBuilder_ == null) {
+          if (resultCase_ == 2) {
+            return (com.google.rpc.Status) result_;
+          }
+          return com.google.rpc.Status.getDefaultInstance();
+        } else {
+          if (resultCase_ == 2) {
+            return errorBuilder_.getMessage();
+          }
+          return com.google.rpc.Status.getDefaultInstance();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The error result of the migration request in case of failure.
+       * </pre>
+       *
+       * <code>.google.rpc.Status error = 2;</code>
+       */
+      public Builder setError(com.google.rpc.Status value) {
+        if (errorBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          result_ = value;
+          onChanged();
+        } else {
+          errorBuilder_.setMessage(value);
+        }
+        resultCase_ = 2;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The error result of the migration request in case of failure.
+       * </pre>
+       *
+       * <code>.google.rpc.Status error = 2;</code>
+       */
+      public Builder setError(com.google.rpc.Status.Builder builderForValue) {
+        if (errorBuilder_ == null) {
+          result_ = builderForValue.build();
+          onChanged();
+        } else {
+          errorBuilder_.setMessage(builderForValue.build());
+        }
+        resultCase_ = 2;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The error result of the migration request in case of failure.
+       * </pre>
+       *
+       * <code>.google.rpc.Status error = 2;</code>
+       */
+      public Builder mergeError(com.google.rpc.Status value) {
+        if (errorBuilder_ == null) {
+          if (resultCase_ == 2 && result_ != com.google.rpc.Status.getDefaultInstance()) {
+            result_ =
+                com.google.rpc.Status.newBuilder((com.google.rpc.Status) result_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            result_ = value;
+          }
+          onChanged();
+        } else {
+          if (resultCase_ == 2) {
+            errorBuilder_.mergeFrom(value);
+          }
+          errorBuilder_.setMessage(value);
+        }
+        resultCase_ = 2;
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The error result of the migration request in case of failure.
+       * </pre>
+       *
+       * <code>.google.rpc.Status error = 2;</code>
+       */
+      public Builder clearError() {
+        if (errorBuilder_ == null) {
+          if (resultCase_ == 2) {
+            resultCase_ = 0;
+            result_ = null;
+            onChanged();
+          }
+        } else {
+          if (resultCase_ == 2) {
+            resultCase_ = 0;
+            result_ = null;
+          }
+          errorBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The error result of the migration request in case of failure.
+       * </pre>
+       *
+       * <code>.google.rpc.Status error = 2;</code>
+       */
+      public com.google.rpc.Status.Builder getErrorBuilder() {
+        return getErrorFieldBuilder().getBuilder();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The error result of the migration request in case of failure.
+       * </pre>
+       *
+       * <code>.google.rpc.Status error = 2;</code>
+       */
+      @java.lang.Override
+      public com.google.rpc.StatusOrBuilder getErrorOrBuilder() {
+        if ((resultCase_ == 2) && (errorBuilder_ != null)) {
+          return errorBuilder_.getMessageOrBuilder();
+        } else {
+          if (resultCase_ == 2) {
+            return (com.google.rpc.Status) result_;
+          }
+          return com.google.rpc.Status.getDefaultInstance();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * The error result of the migration request in case of failure.
+       * </pre>
+       *
+       * <code>.google.rpc.Status error = 2;</code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.rpc.Status, com.google.rpc.Status.Builder, com.google.rpc.StatusOrBuilder>
+          getErrorFieldBuilder() {
+        if (errorBuilder_ == null) {
+          if (!(resultCase_ == 2)) {
+            result_ = com.google.rpc.Status.getDefaultInstance();
+          }
+          errorBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.rpc.Status,
+                  com.google.rpc.Status.Builder,
+                  com.google.rpc.StatusOrBuilder>(
+                  (com.google.rpc.Status) result_, getParentForChildren(), isClean());
+          result_ = null;
+        }
+        resultCase_ = 2;
+        onChanged();
+        ;
+        return errorBuilder_;
+      }
+
+      /**
+       *
+       *
+       * <pre>
+       * Migrated model resource name.
+       * </pre>
+       *
+       * <code>string model = 3 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return The model.
+       */
+      @java.lang.Override
+      public java.lang.String getModel() {
+        java.lang.Object ref = "";
+        if (resultCase_ == 3) {
+          ref = result_;
+        }
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          if (resultCase_ == 3) {
+            result_ = s;
+          }
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Migrated model resource name.
+       * </pre>
+       *
+       * <code>string model = 3 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return The bytes for model.
+       */
+      @java.lang.Override
+      public com.google.protobuf.ByteString getModelBytes() {
+        java.lang.Object ref = "";
+        if (resultCase_ == 3) {
+          ref = result_;
+        }
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          if (resultCase_ == 3) {
+            result_ = b;
+          }
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Migrated model resource name.
+       * </pre>
+       *
+       * <code>string model = 3 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @param value The model to set.
+       * @return This builder for chaining.
+       */
+      public Builder setModel(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        resultCase_ = 3;
+        result_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Migrated model resource name.
+       * </pre>
+       *
+       * <code>string model = 3 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearModel() {
+        if (resultCase_ == 3) {
+          resultCase_ = 0;
+          result_ = null;
+          onChanged();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Migrated model resource name.
+       * </pre>
+       *
+       * <code>string model = 3 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @param value The bytes for model to set.
+       * @return This builder for chaining.
+       */
+      public Builder setModelBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+        resultCase_ = 3;
+        result_ = value;
+        onChanged();
+        return this;
+      }
+
+      /**
+       *
+       *
+       * <pre>
+       * Migrated dataset resource name.
+       * </pre>
+       *
+       * <code>string dataset = 4 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return The dataset.
+       */
+      @java.lang.Override
+      public java.lang.String getDataset() {
+        java.lang.Object ref = "";
+        if (resultCase_ == 4) {
+          ref = result_;
+        }
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          if (resultCase_ == 4) {
+            result_ = s;
+          }
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Migrated dataset resource name.
+       * </pre>
+       *
+       * <code>string dataset = 4 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return The bytes for dataset.
+       */
+      @java.lang.Override
+      public com.google.protobuf.ByteString getDatasetBytes() {
+        java.lang.Object ref = "";
+        if (resultCase_ == 4) {
+          ref = result_;
+        }
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          if (resultCase_ == 4) {
+            result_ = b;
+          }
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Migrated dataset resource name.
+       * </pre>
+       *
+       * <code>string dataset = 4 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @param value The dataset to set.
+       * @return This builder for chaining.
+       */
+      public Builder setDataset(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        resultCase_ = 4;
+        result_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Migrated dataset resource name.
+       * </pre>
+       *
+       * <code>string dataset = 4 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearDataset() {
+        if (resultCase_ == 4) {
+          resultCase_ = 0;
+          result_ = null;
+          onChanged();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Migrated dataset resource name.
+       * </pre>
+       *
+       * <code>string dataset = 4 [(.google.api.resource_reference) = { ... }</code>
+       *
+       * @param value The bytes for dataset to set.
+       * @return This builder for chaining.
+       */
+      public Builder setDatasetBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+        resultCase_ = 4;
+        result_ = value;
+        onChanged();
+        return this;
+      }
+
+      private com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request_;
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest,
+              com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.Builder,
+              com.google.cloud.aiplatform.v1beta1.MigrateResourceRequestOrBuilder>
+          requestBuilder_;
+      /**
+       *
+       *
+       * <pre>
+       * It's the same as the value in
+       * [MigrateResourceRequest.migrate_resource_requests][].
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+       *
+       * @return Whether the request field is set.
+       */
+      public boolean hasRequest() {
+        return requestBuilder_ != null || request_ != null;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * It's the same as the value in
+       * [MigrateResourceRequest.migrate_resource_requests][].
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+       *
+       * @return The request.
+       */
+      public com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest getRequest() {
+        if (requestBuilder_ == null) {
+          return request_ == null
+              ? com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.getDefaultInstance()
+              : request_;
+        } else {
+          return requestBuilder_.getMessage();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * It's the same as the value in
+       * [MigrateResourceRequest.migrate_resource_requests][].
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+       */
+      public Builder setRequest(com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest value) {
+        if (requestBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          request_ = value;
+          onChanged();
+        } else {
+          requestBuilder_.setMessage(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * It's the same as the value in
+       * [MigrateResourceRequest.migrate_resource_requests][].
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+       */
+      public Builder setRequest(
+          com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.Builder builderForValue) {
+        if (requestBuilder_ == null) {
+          request_ = builderForValue.build();
+          onChanged();
+        } else {
+          requestBuilder_.setMessage(builderForValue.build());
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * It's the same as the value in
+       * [MigrateResourceRequest.migrate_resource_requests][].
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+       */
+      public Builder mergeRequest(
+          com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest value) {
+        if (requestBuilder_ == null) {
+          if (request_ != null) {
+            request_ =
+                com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.newBuilder(request_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            request_ = value;
+          }
+          onChanged();
+        } else {
+          requestBuilder_.mergeFrom(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * It's the same as the value in
+       * [MigrateResourceRequest.migrate_resource_requests][].
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+       */
+      public Builder clearRequest() {
+        if (requestBuilder_ == null) {
+          request_ = null;
+          onChanged();
+        } else {
+          request_ = null;
+          requestBuilder_ = null;
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * It's the same as the value in
+       * [MigrateResourceRequest.migrate_resource_requests][].
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+       */
+      public com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.Builder
+          getRequestBuilder() {
+
+        onChanged();
+        return getRequestFieldBuilder().getBuilder();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * It's the same as the value in
+       * [MigrateResourceRequest.migrate_resource_requests][].
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+       */
+      public com.google.cloud.aiplatform.v1beta1.MigrateResourceRequestOrBuilder
+          getRequestOrBuilder() {
+        if (requestBuilder_ != null) {
+          return requestBuilder_.getMessageOrBuilder();
+        } else {
+          return request_ == null
+              ? com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.getDefaultInstance()
+              : request_;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * It's the same as the value in
+       * [MigrateResourceRequest.migrate_resource_requests][].
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.MigrateResourceRequest request = 1;</code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest,
+              com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.Builder,
+              com.google.cloud.aiplatform.v1beta1.MigrateResourceRequestOrBuilder>
+          getRequestFieldBuilder() {
+        if (requestBuilder_ == null) {
+          requestBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest,
+                  com.google.cloud.aiplatform.v1beta1.MigrateResourceRequest.Builder,
+                  com.google.cloud.aiplatform.v1beta1.MigrateResourceRequestOrBuilder>(
+                  getRequest(), getParentForChildren(), isClean());
+          request_ = null;
+        }
+        return requestBuilder_;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult)
+    private static final com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE =
+          new com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+              .PartialResult();
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResult
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser<PartialResult> PARSER =
+        new com.google.protobuf.AbstractParser<PartialResult>() {
+          @java.lang.Override
+          public PartialResult parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new PartialResult(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser<PartialResult> parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser<PartialResult> getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public static final int GENERIC_METADATA_FIELD_NUMBER = 1;
+  private com.google.cloud.aiplatform.v1beta1.GenericOperationMetadata genericMetadata_;
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return Whether the genericMetadata field is set.
+   */
+  @java.lang.Override
+  public boolean hasGenericMetadata() {
+    return genericMetadata_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.GenericOperationMetadata generic_metadata = 1;</code>
+   *
+   * @return The genericMetadata.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.GenericOperationMetadata getGenericMetadata() {
+    return genericMetadata_ == null
+        ? com.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.getDefaultInstance()
+        : genericMetadata_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The common part of the operation metadata.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.GenericOperationMetadata generic_metadata = 1;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.GenericOperationMetadataOrBuilder
+      getGenericMetadataOrBuilder() {
+    return getGenericMetadata();
+  }
+
+  public static final int PARTIAL_RESULTS_FIELD_NUMBER = 2;
+  private java.util.List<
+          com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult>
+      partialResults_;
   /**
    *
    *
    * <pre>
-   * The common part of the operation metadata.
+   * Partial results that reflects the latest migration operation progress.
    * </pre>
    *
-   * <code>.google.cloud.aiplatform.v1beta1.GenericOperationMetadata generic_metadata = 1;</code>
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<
+          com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult>
+      getPartialResultsList() {
+    return partialResults_;
+  }
+  /**
    *
-   * @return Whether the genericMetadata field is set.
+   *
+   * <pre>
+   * Partial results that reflects the latest migration operation progress.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
    */
   @java.lang.Override
-  public boolean hasGenericMetadata() {
-    return genericMetadata_ != null;
+  public java.util.List<
+          ? extends
+              com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                  .PartialResultOrBuilder>
+      getPartialResultsOrBuilderList() {
+    return partialResults_;
   }
   /**
    *
    *
    * <pre>
-   * The common part of the operation metadata.
+   * Partial results that reflects the latest migration operation progress.
    * </pre>
    *
-   * <code>.google.cloud.aiplatform.v1beta1.GenericOperationMetadata generic_metadata = 1;</code>
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
+   */
+  @java.lang.Override
+  public int getPartialResultsCount() {
+    return partialResults_.size();
+  }
+  /**
    *
-   * @return The genericMetadata.
+   *
+   * <pre>
+   * Partial results that reflects the latest migration operation progress.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
    */
   @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.GenericOperationMetadata getGenericMetadata() {
-    return genericMetadata_ == null
-        ? com.google.cloud.aiplatform.v1beta1.GenericOperationMetadata.getDefaultInstance()
-        : genericMetadata_;
+  public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+      getPartialResults(int index) {
+    return partialResults_.get(index);
   }
   /**
    *
    *
    * <pre>
-   * The common part of the operation metadata.
+   * Partial results that reflects the latest migration operation progress.
    * </pre>
    *
-   * <code>.google.cloud.aiplatform.v1beta1.GenericOperationMetadata generic_metadata = 1;</code>
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
    */
   @java.lang.Override
-  public com.google.cloud.aiplatform.v1beta1.GenericOperationMetadataOrBuilder
-      getGenericMetadataOrBuilder() {
-    return getGenericMetadata();
+  public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+          .PartialResultOrBuilder
+      getPartialResultsOrBuilder(int index) {
+    return partialResults_.get(index);
   }
 
   private byte memoizedIsInitialized = -1;
@@ -189,6 +2019,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (genericMetadata_ != null) {
       output.writeMessage(1, getGenericMetadata());
     }
+    for (int i = 0; i < partialResults_.size(); i++) {
+      output.writeMessage(2, partialResults_.get(i));
+    }
     unknownFields.writeTo(output);
   }
 
@@ -201,6 +2034,9 @@ public int getSerializedSize() {
     if (genericMetadata_ != null) {
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, getGenericMetadata());
     }
+    for (int i = 0; i < partialResults_.size(); i++) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, partialResults_.get(i));
+    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -222,6 +2058,7 @@ public boolean equals(final java.lang.Object obj) {
     if (hasGenericMetadata()) {
       if (!getGenericMetadata().equals(other.getGenericMetadata())) return false;
     }
+    if (!getPartialResultsList().equals(other.getPartialResultsList())) return false;
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -237,6 +2074,10 @@ public int hashCode() {
       hash = (37 * hash) + GENERIC_METADATA_FIELD_NUMBER;
       hash = (53 * hash) + getGenericMetadata().hashCode();
     }
+    if (getPartialResultsCount() > 0) {
+      hash = (37 * hash) + PARTIAL_RESULTS_FIELD_NUMBER;
+      hash = (53 * hash) + getPartialResultsList().hashCode();
+    }
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -385,7 +2226,9 @@ private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
     }
 
     private void maybeForceBuilderInitialization() {
-      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getPartialResultsFieldBuilder();
+      }
     }
 
     @java.lang.Override
@@ -397,6 +2240,12 @@ public Builder clear() {
         genericMetadata_ = null;
         genericMetadataBuilder_ = null;
       }
+      if (partialResultsBuilder_ == null) {
+        partialResults_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+      } else {
+        partialResultsBuilder_.clear();
+      }
       return this;
     }
 
@@ -428,11 +2277,21 @@ public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadat
         buildPartial() {
       com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata result =
           new com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata(this);
+      int from_bitField0_ = bitField0_;
       if (genericMetadataBuilder_ == null) {
         result.genericMetadata_ = genericMetadata_;
       } else {
         result.genericMetadata_ = genericMetadataBuilder_.build();
       }
+      if (partialResultsBuilder_ == null) {
+        if (((bitField0_ & 0x00000001) != 0)) {
+          partialResults_ = java.util.Collections.unmodifiableList(partialResults_);
+          bitField0_ = (bitField0_ & ~0x00000001);
+        }
+        result.partialResults_ = partialResults_;
+      } else {
+        result.partialResults_ = partialResultsBuilder_.build();
+      }
       onBuilt();
       return result;
     }
@@ -490,6 +2349,33 @@ public Builder mergeFrom(
       if (other.hasGenericMetadata()) {
         mergeGenericMetadata(other.getGenericMetadata());
       }
+      if (partialResultsBuilder_ == null) {
+        if (!other.partialResults_.isEmpty()) {
+          if (partialResults_.isEmpty()) {
+            partialResults_ = other.partialResults_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+          } else {
+            ensurePartialResultsIsMutable();
+            partialResults_.addAll(other.partialResults_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.partialResults_.isEmpty()) {
+          if (partialResultsBuilder_.isEmpty()) {
+            partialResultsBuilder_.dispose();
+            partialResultsBuilder_ = null;
+            partialResults_ = other.partialResults_;
+            bitField0_ = (bitField0_ & ~0x00000001);
+            partialResultsBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getPartialResultsFieldBuilder()
+                    : null;
+          } else {
+            partialResultsBuilder_.addAllMessages(other.partialResults_);
+          }
+        }
+      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -522,6 +2408,8 @@ public Builder mergeFrom(
       return this;
     }
 
+    private int bitField0_;
+
     private com.google.cloud.aiplatform.v1beta1.GenericOperationMetadata genericMetadata_;
     private com.google.protobuf.SingleFieldBuilderV3<
             com.google.cloud.aiplatform.v1beta1.GenericOperationMetadata,
@@ -713,6 +2601,451 @@ public Builder clearGenericMetadata() {
       return genericMetadataBuilder_;
     }
 
+    private java.util.List<
+            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                .PartialResult>
+        partialResults_ = java.util.Collections.emptyList();
+
+    private void ensurePartialResultsIsMutable() {
+      if (!((bitField0_ & 0x00000001) != 0)) {
+        partialResults_ =
+            new java.util.ArrayList<
+                com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                    .PartialResult>(partialResults_);
+        bitField0_ |= 0x00000001;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                .PartialResult,
+            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+                .Builder,
+            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                .PartialResultOrBuilder>
+        partialResultsBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public java.util.List<
+            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                .PartialResult>
+        getPartialResultsList() {
+      if (partialResultsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(partialResults_);
+      } else {
+        return partialResultsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public int getPartialResultsCount() {
+      if (partialResultsBuilder_ == null) {
+        return partialResults_.size();
+      } else {
+        return partialResultsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+        getPartialResults(int index) {
+      if (partialResultsBuilder_ == null) {
+        return partialResults_.get(index);
+      } else {
+        return partialResultsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public Builder setPartialResults(
+        int index,
+        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+            value) {
+      if (partialResultsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensurePartialResultsIsMutable();
+        partialResults_.set(index, value);
+        onChanged();
+      } else {
+        partialResultsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public Builder setPartialResults(
+        int index,
+        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+                .Builder
+            builderForValue) {
+      if (partialResultsBuilder_ == null) {
+        ensurePartialResultsIsMutable();
+        partialResults_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        partialResultsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public Builder addPartialResults(
+        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+            value) {
+      if (partialResultsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensurePartialResultsIsMutable();
+        partialResults_.add(value);
+        onChanged();
+      } else {
+        partialResultsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public Builder addPartialResults(
+        int index,
+        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+            value) {
+      if (partialResultsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensurePartialResultsIsMutable();
+        partialResults_.add(index, value);
+        onChanged();
+      } else {
+        partialResultsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public Builder addPartialResults(
+        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+                .Builder
+            builderForValue) {
+      if (partialResultsBuilder_ == null) {
+        ensurePartialResultsIsMutable();
+        partialResults_.add(builderForValue.build());
+        onChanged();
+      } else {
+        partialResultsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public Builder addPartialResults(
+        int index,
+        com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+                .Builder
+            builderForValue) {
+      if (partialResultsBuilder_ == null) {
+        ensurePartialResultsIsMutable();
+        partialResults_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        partialResultsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public Builder addAllPartialResults(
+        java.lang.Iterable<
+                ? extends
+                    com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                        .PartialResult>
+            values) {
+      if (partialResultsBuilder_ == null) {
+        ensurePartialResultsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, partialResults_);
+        onChanged();
+      } else {
+        partialResultsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public Builder clearPartialResults() {
+      if (partialResultsBuilder_ == null) {
+        partialResults_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000001);
+        onChanged();
+      } else {
+        partialResultsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public Builder removePartialResults(int index) {
+      if (partialResultsBuilder_ == null) {
+        ensurePartialResultsIsMutable();
+        partialResults_.remove(index);
+        onChanged();
+      } else {
+        partialResultsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+            .Builder
+        getPartialResultsBuilder(int index) {
+      return getPartialResultsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+            .PartialResultOrBuilder
+        getPartialResultsOrBuilder(int index) {
+      if (partialResultsBuilder_ == null) {
+        return partialResults_.get(index);
+      } else {
+        return partialResultsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public java.util.List<
+            ? extends
+                com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                    .PartialResultOrBuilder>
+        getPartialResultsOrBuilderList() {
+      if (partialResultsBuilder_ != null) {
+        return partialResultsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(partialResults_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+            .Builder
+        addPartialResultsBuilder() {
+      return getPartialResultsFieldBuilder()
+          .addBuilder(
+              com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                  .PartialResult.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+            .Builder
+        addPartialResultsBuilder(int index) {
+      return getPartialResultsFieldBuilder()
+          .addBuilder(
+              index,
+              com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                  .PartialResult.getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Partial results that reflects the latest migration operation progress.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+     * </code>
+     */
+    public java.util.List<
+            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+                .Builder>
+        getPartialResultsBuilderList() {
+      return getPartialResultsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                .PartialResult,
+            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+                .Builder,
+            com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                .PartialResultOrBuilder>
+        getPartialResultsFieldBuilder() {
+      if (partialResultsBuilder_ == null) {
+        partialResultsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                    .PartialResult,
+                com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                    .PartialResult.Builder,
+                com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                    .PartialResultOrBuilder>(
+                partialResults_,
+                ((bitField0_ & 0x00000001) != 0),
+                getParentForChildren(),
+                isClean());
+        partialResults_ = null;
+      }
+      return partialResultsBuilder_;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadataOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadataOrBuilder.java
index 27c36f4e1..b613cd4c8 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadataOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchMigrateResourcesOperationMetadataOrBuilder.java
@@ -58,4 +58,73 @@ public interface BatchMigrateResourcesOperationMetadataOrBuilder
    */
   com.google.cloud.aiplatform.v1beta1.GenericOperationMetadataOrBuilder
       getGenericMetadataOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Partial results that reflects the latest migration operation progress.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
+   */
+  java.util.List<
+          com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult>
+      getPartialResultsList();
+  /**
+   *
+   *
+   * <pre>
+   * Partial results that reflects the latest migration operation progress.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult
+      getPartialResults(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Partial results that reflects the latest migration operation progress.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
+   */
+  int getPartialResultsCount();
+  /**
+   *
+   *
+   * <pre>
+   * Partial results that reflects the latest migration operation progress.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
+   */
+  java.util.List<
+          ? extends
+              com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata
+                  .PartialResultOrBuilder>
+      getPartialResultsOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * Partial results that reflects the latest migration operation progress.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResult partial_results = 2;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1beta1.BatchMigrateResourcesOperationMetadata.PartialResultOrBuilder
+      getPartialResultsOrBuilder(int index);
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJob.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJob.java
index 82a4704aa..ce4996373 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJob.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJob.java
@@ -344,6 +344,23 @@ private BatchPredictionJob(
           case 184:
             {
               generateExplanation_ = input.readBool();
+              break;
+            }
+          case 194:
+            {
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder subBuilder = null;
+              if (encryptionSpec_ != null) {
+                subBuilder = encryptionSpec_.toBuilder();
+              }
+              encryptionSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1beta1.EncryptionSpec.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(encryptionSpec_);
+                encryptionSpec_ = subBuilder.buildPartial();
+              }
+
               break;
             }
           case 202:
@@ -420,7 +437,7 @@ public interface InputConfigOrBuilder
      *
      *
      * <pre>
-     * The Google Cloud Storage location for the input instances.
+     * The Cloud Storage location for the input instances.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -432,7 +449,7 @@ public interface InputConfigOrBuilder
      *
      *
      * <pre>
-     * The Google Cloud Storage location for the input instances.
+     * The Cloud Storage location for the input instances.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -444,7 +461,7 @@ public interface InputConfigOrBuilder
      *
      *
      * <pre>
-     * The Google Cloud Storage location for the input instances.
+     * The Cloud Storage location for the input instances.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -713,7 +730,7 @@ public SourceCase getSourceCase() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location for the input instances.
+     * The Cloud Storage location for the input instances.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -728,7 +745,7 @@ public boolean hasGcsSource() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location for the input instances.
+     * The Cloud Storage location for the input instances.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -746,7 +763,7 @@ public com.google.cloud.aiplatform.v1beta1.GcsSource getGcsSource() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location for the input instances.
+     * The Cloud Storage location for the input instances.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1304,7 +1321,7 @@ public Builder clearSource() {
        *
        *
        * <pre>
-       * The Google Cloud Storage location for the input instances.
+       * The Cloud Storage location for the input instances.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1319,7 +1336,7 @@ public boolean hasGcsSource() {
        *
        *
        * <pre>
-       * The Google Cloud Storage location for the input instances.
+       * The Cloud Storage location for the input instances.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1344,7 +1361,7 @@ public com.google.cloud.aiplatform.v1beta1.GcsSource getGcsSource() {
        *
        *
        * <pre>
-       * The Google Cloud Storage location for the input instances.
+       * The Cloud Storage location for the input instances.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1366,7 +1383,7 @@ public Builder setGcsSource(com.google.cloud.aiplatform.v1beta1.GcsSource value)
        *
        *
        * <pre>
-       * The Google Cloud Storage location for the input instances.
+       * The Cloud Storage location for the input instances.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1386,7 +1403,7 @@ public Builder setGcsSource(
        *
        *
        * <pre>
-       * The Google Cloud Storage location for the input instances.
+       * The Cloud Storage location for the input instances.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1417,7 +1434,7 @@ public Builder mergeGcsSource(com.google.cloud.aiplatform.v1beta1.GcsSource valu
        *
        *
        * <pre>
-       * The Google Cloud Storage location for the input instances.
+       * The Cloud Storage location for the input instances.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1442,7 +1459,7 @@ public Builder clearGcsSource() {
        *
        *
        * <pre>
-       * The Google Cloud Storage location for the input instances.
+       * The Cloud Storage location for the input instances.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1454,7 +1471,7 @@ public com.google.cloud.aiplatform.v1beta1.GcsSource.Builder getGcsSourceBuilder
        *
        *
        * <pre>
-       * The Google Cloud Storage location for the input instances.
+       * The Cloud Storage location for the input instances.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1474,7 +1491,7 @@ public com.google.cloud.aiplatform.v1beta1.GcsSourceOrBuilder getGcsSourceOrBuil
        *
        *
        * <pre>
-       * The Google Cloud Storage location for the input instances.
+       * The Cloud Storage location for the input instances.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsSource gcs_source = 2;</code>
@@ -1931,7 +1948,7 @@ public interface OutputConfigOrBuilder
      *
      *
      * <pre>
-     * The Google Cloud Storage location of the directory where the output is
+     * The Cloud Storage location of the directory where the output is
      * to be written to. In the given directory a new directory is created.
      * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -1963,7 +1980,7 @@ public interface OutputConfigOrBuilder
      *
      *
      * <pre>
-     * The Google Cloud Storage location of the directory where the output is
+     * The Cloud Storage location of the directory where the output is
      * to be written to. In the given directory a new directory is created.
      * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -1995,7 +2012,7 @@ public interface OutputConfigOrBuilder
      *
      *
      * <pre>
-     * The Google Cloud Storage location of the directory where the output is
+     * The Cloud Storage location of the directory where the output is
      * to be written to. In the given directory a new directory is created.
      * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -2328,7 +2345,7 @@ public DestinationCase getDestinationCase() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location of the directory where the output is
+     * The Cloud Storage location of the directory where the output is
      * to be written to. In the given directory a new directory is created.
      * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -2363,7 +2380,7 @@ public boolean hasGcsDestination() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location of the directory where the output is
+     * The Cloud Storage location of the directory where the output is
      * to be written to. In the given directory a new directory is created.
      * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -2401,7 +2418,7 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getGcsDestination() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location of the directory where the output is
+     * The Cloud Storage location of the directory where the output is
      * to be written to. In the given directory a new directory is created.
      * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3020,7 +3037,7 @@ public Builder clearDestination() {
        *
        *
        * <pre>
-       * The Google Cloud Storage location of the directory where the output is
+       * The Cloud Storage location of the directory where the output is
        * to be written to. In the given directory a new directory is created.
        * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3055,7 +3072,7 @@ public boolean hasGcsDestination() {
        *
        *
        * <pre>
-       * The Google Cloud Storage location of the directory where the output is
+       * The Cloud Storage location of the directory where the output is
        * to be written to. In the given directory a new directory is created.
        * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3100,7 +3117,7 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getGcsDestination() {
        *
        *
        * <pre>
-       * The Google Cloud Storage location of the directory where the output is
+       * The Cloud Storage location of the directory where the output is
        * to be written to. In the given directory a new directory is created.
        * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3142,7 +3159,7 @@ public Builder setGcsDestination(com.google.cloud.aiplatform.v1beta1.GcsDestinat
        *
        *
        * <pre>
-       * The Google Cloud Storage location of the directory where the output is
+       * The Cloud Storage location of the directory where the output is
        * to be written to. In the given directory a new directory is created.
        * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3182,7 +3199,7 @@ public Builder setGcsDestination(
        *
        *
        * <pre>
-       * The Google Cloud Storage location of the directory where the output is
+       * The Cloud Storage location of the directory where the output is
        * to be written to. In the given directory a new directory is created.
        * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3234,7 +3251,7 @@ public Builder mergeGcsDestination(com.google.cloud.aiplatform.v1beta1.GcsDestin
        *
        *
        * <pre>
-       * The Google Cloud Storage location of the directory where the output is
+       * The Cloud Storage location of the directory where the output is
        * to be written to. In the given directory a new directory is created.
        * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3279,7 +3296,7 @@ public Builder clearGcsDestination() {
        *
        *
        * <pre>
-       * The Google Cloud Storage location of the directory where the output is
+       * The Cloud Storage location of the directory where the output is
        * to be written to. In the given directory a new directory is created.
        * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3311,7 +3328,7 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination.Builder getGcsDestinat
        *
        *
        * <pre>
-       * The Google Cloud Storage location of the directory where the output is
+       * The Cloud Storage location of the directory where the output is
        * to be written to. In the given directory a new directory is created.
        * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3352,7 +3369,7 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination.Builder getGcsDestinat
        *
        *
        * <pre>
-       * The Google Cloud Storage location of the directory where the output is
+       * The Cloud Storage location of the directory where the output is
        * to be written to. In the given directory a new directory is created.
        * Its name is `prediction-&lt;model-display-name&gt;-&lt;job-create-time&gt;`,
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -3950,7 +3967,7 @@ public interface OutputInfoOrBuilder
      *
      *
      * <pre>
-     * Output only. The full path of the Google Cloud Storage directory created, into which
+     * Output only. The full path of the Cloud Storage directory created, into which
      * the prediction output is written.
      * </pre>
      *
@@ -3963,7 +3980,7 @@ public interface OutputInfoOrBuilder
      *
      *
      * <pre>
-     * Output only. The full path of the Google Cloud Storage directory created, into which
+     * Output only. The full path of the Cloud Storage directory created, into which
      * the prediction output is written.
      * </pre>
      *
@@ -4156,7 +4173,7 @@ public OutputLocationCase getOutputLocationCase() {
      *
      *
      * <pre>
-     * Output only. The full path of the Google Cloud Storage directory created, into which
+     * Output only. The full path of the Cloud Storage directory created, into which
      * the prediction output is written.
      * </pre>
      *
@@ -4184,7 +4201,7 @@ public java.lang.String getGcsOutputDirectory() {
      *
      *
      * <pre>
-     * Output only. The full path of the Google Cloud Storage directory created, into which
+     * Output only. The full path of the Cloud Storage directory created, into which
      * the prediction output is written.
      * </pre>
      *
@@ -4667,7 +4684,7 @@ public Builder clearOutputLocation() {
        *
        *
        * <pre>
-       * Output only. The full path of the Google Cloud Storage directory created, into which
+       * Output only. The full path of the Cloud Storage directory created, into which
        * the prediction output is written.
        * </pre>
        *
@@ -4696,7 +4713,7 @@ public java.lang.String getGcsOutputDirectory() {
        *
        *
        * <pre>
-       * Output only. The full path of the Google Cloud Storage directory created, into which
+       * Output only. The full path of the Cloud Storage directory created, into which
        * the prediction output is written.
        * </pre>
        *
@@ -4725,7 +4742,7 @@ public com.google.protobuf.ByteString getGcsOutputDirectoryBytes() {
        *
        *
        * <pre>
-       * Output only. The full path of the Google Cloud Storage directory created, into which
+       * Output only. The full path of the Cloud Storage directory created, into which
        * the prediction output is written.
        * </pre>
        *
@@ -4747,7 +4764,7 @@ public Builder setGcsOutputDirectory(java.lang.String value) {
        *
        *
        * <pre>
-       * Output only. The full path of the Google Cloud Storage directory created, into which
+       * Output only. The full path of the Cloud Storage directory created, into which
        * the prediction output is written.
        * </pre>
        *
@@ -4767,7 +4784,7 @@ public Builder clearGcsOutputDirectory() {
        *
        *
        * <pre>
-       * Output only. The full path of the Google Cloud Storage directory created, into which
+       * Output only. The full path of the Cloud Storage directory created, into which
        * the prediction output is written.
        * </pre>
        *
@@ -5463,15 +5480,18 @@ public boolean hasManualBatchTuningParameters() {
    *
    *
    * <pre>
-   * Generate explanation along with the batch prediction results.
-   * When it's true, the batch prediction output will change based on the
-   * [output format][BatchPredictionJob.output_config.predictions_format]:
-   *  * `bigquery`: output will include a column named `explanation`. The value
+   * Generate explanation with the batch prediction results.
+   * When set to `true`, the batch prediction output changes based on the
+   * `predictions_format` field of the
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config] object:
+   *  * `bigquery`: output includes a column named `explanation`. The value
    *    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
-   *  * `jsonl`: The JSON objects on each line will include an additional entry
+   *  * `jsonl`: The JSON objects on each line include an additional entry
    *    keyed `explanation`. The value of the entry is a JSON object that
    *    conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
    *  * `csv`: Generating explanations for CSV format is not supported.
+   * If this field is set to true, the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be
+   * populated.
    * </pre>
    *
    * <code>bool generate_explanation = 23;</code>
@@ -5489,15 +5509,12 @@ public boolean getGenerateExplanation() {
    *
    *
    * <pre>
-   * Explanation configuration for this BatchPredictionJob. Can only be
-   * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-   * specified it with generate_explanation set to false or unset.
+   * Explanation configuration for this BatchPredictionJob. Can be
+   * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
    * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-   * this Model is not allowed.
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+   * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
    * </pre>
    *
    * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -5512,15 +5529,12 @@ public boolean hasExplanationSpec() {
    *
    *
    * <pre>
-   * Explanation configuration for this BatchPredictionJob. Can only be
-   * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-   * specified it with generate_explanation set to false or unset.
+   * Explanation configuration for this BatchPredictionJob. Can be
+   * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
    * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-   * this Model is not allowed.
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+   * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
    * </pre>
    *
    * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -5537,15 +5551,12 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec getExplanationSpec()
    *
    *
    * <pre>
-   * Explanation configuration for this BatchPredictionJob. Can only be
-   * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-   * specified it with generate_explanation set to false or unset.
+   * Explanation configuration for this BatchPredictionJob. Can be
+   * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
    * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-   * this Model is not allowed.
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+   * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
    * </pre>
    *
    * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -6232,6 +6243,60 @@ public java.lang.String getLabelsOrThrow(java.lang.String key) {
     return map.get(key);
   }
 
+  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 24;
+  private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a BatchPredictionJob. If this
+   * is set, then all resources created by the BatchPredictionJob will be
+   * encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasEncryptionSpec() {
+    return encryptionSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a BatchPredictionJob. If this
+   * is set, then all resources created by the BatchPredictionJob will be
+   * encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+    return encryptionSpec_ == null
+        ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+        : encryptionSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a BatchPredictionJob. If this
+   * is set, then all resources created by the BatchPredictionJob will be
+   * encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+    return getEncryptionSpec();
+  }
+
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -6305,6 +6370,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (generateExplanation_ != false) {
       output.writeBool(23, generateExplanation_);
     }
+    if (encryptionSpec_ != null) {
+      output.writeMessage(24, getEncryptionSpec());
+    }
     if (explanationSpec_ != null) {
       output.writeMessage(25, getExplanationSpec());
     }
@@ -6386,6 +6454,9 @@ public int getSerializedSize() {
     if (generateExplanation_ != false) {
       size += com.google.protobuf.CodedOutputStream.computeBoolSize(23, generateExplanation_);
     }
+    if (encryptionSpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(24, getEncryptionSpec());
+    }
     if (explanationSpec_ != null) {
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(25, getExplanationSpec());
     }
@@ -6469,6 +6540,10 @@ public boolean equals(final java.lang.Object obj) {
       if (!getUpdateTime().equals(other.getUpdateTime())) return false;
     }
     if (!internalGetLabels().equals(other.internalGetLabels())) return false;
+    if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
+    if (hasEncryptionSpec()) {
+      if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
+    }
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -6554,6 +6629,10 @@ public int hashCode() {
       hash = (37 * hash) + LABELS_FIELD_NUMBER;
       hash = (53 * hash) + internalGetLabels().hashCode();
     }
+    if (hasEncryptionSpec()) {
+      hash = (37 * hash) + ENCRYPTION_SPEC_FIELD_NUMBER;
+      hash = (53 * hash) + getEncryptionSpec().hashCode();
+    }
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -6826,6 +6905,12 @@ public Builder clear() {
         updateTimeBuilder_ = null;
       }
       internalGetMutableLabels().clear();
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
       return this;
     }
 
@@ -6940,6 +7025,11 @@ public com.google.cloud.aiplatform.v1beta1.BatchPredictionJob buildPartial() {
       }
       result.labels_ = internalGetLabels();
       result.labels_.makeImmutable();
+      if (encryptionSpecBuilder_ == null) {
+        result.encryptionSpec_ = encryptionSpec_;
+      } else {
+        result.encryptionSpec_ = encryptionSpecBuilder_.build();
+      }
       onBuilt();
       return result;
     }
@@ -7078,6 +7168,9 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.BatchPredictionJob
         mergeUpdateTime(other.getUpdateTime());
       }
       internalGetMutableLabels().mergeFrom(other.internalGetLabels());
+      if (other.hasEncryptionSpec()) {
+        mergeEncryptionSpec(other.getEncryptionSpec());
+      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -8658,15 +8751,18 @@ public Builder clearManualBatchTuningParameters() {
      *
      *
      * <pre>
-     * Generate explanation along with the batch prediction results.
-     * When it's true, the batch prediction output will change based on the
-     * [output format][BatchPredictionJob.output_config.predictions_format]:
-     *  * `bigquery`: output will include a column named `explanation`. The value
+     * Generate explanation with the batch prediction results.
+     * When set to `true`, the batch prediction output changes based on the
+     * `predictions_format` field of the
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config] object:
+     *  * `bigquery`: output includes a column named `explanation`. The value
      *    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
-     *  * `jsonl`: The JSON objects on each line will include an additional entry
+     *  * `jsonl`: The JSON objects on each line include an additional entry
      *    keyed `explanation`. The value of the entry is a JSON object that
      *    conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
      *  * `csv`: Generating explanations for CSV format is not supported.
+     * If this field is set to true, the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be
+     * populated.
      * </pre>
      *
      * <code>bool generate_explanation = 23;</code>
@@ -8681,15 +8777,18 @@ public boolean getGenerateExplanation() {
      *
      *
      * <pre>
-     * Generate explanation along with the batch prediction results.
-     * When it's true, the batch prediction output will change based on the
-     * [output format][BatchPredictionJob.output_config.predictions_format]:
-     *  * `bigquery`: output will include a column named `explanation`. The value
+     * Generate explanation with the batch prediction results.
+     * When set to `true`, the batch prediction output changes based on the
+     * `predictions_format` field of the
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config] object:
+     *  * `bigquery`: output includes a column named `explanation`. The value
      *    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
-     *  * `jsonl`: The JSON objects on each line will include an additional entry
+     *  * `jsonl`: The JSON objects on each line include an additional entry
      *    keyed `explanation`. The value of the entry is a JSON object that
      *    conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
      *  * `csv`: Generating explanations for CSV format is not supported.
+     * If this field is set to true, the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be
+     * populated.
      * </pre>
      *
      * <code>bool generate_explanation = 23;</code>
@@ -8707,15 +8806,18 @@ public Builder setGenerateExplanation(boolean value) {
      *
      *
      * <pre>
-     * Generate explanation along with the batch prediction results.
-     * When it's true, the batch prediction output will change based on the
-     * [output format][BatchPredictionJob.output_config.predictions_format]:
-     *  * `bigquery`: output will include a column named `explanation`. The value
+     * Generate explanation with the batch prediction results.
+     * When set to `true`, the batch prediction output changes based on the
+     * `predictions_format` field of the
+     * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config] object:
+     *  * `bigquery`: output includes a column named `explanation`. The value
      *    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
-     *  * `jsonl`: The JSON objects on each line will include an additional entry
+     *  * `jsonl`: The JSON objects on each line include an additional entry
      *    keyed `explanation`. The value of the entry is a JSON object that
      *    conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
      *  * `csv`: Generating explanations for CSV format is not supported.
+     * If this field is set to true, the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be
+     * populated.
      * </pre>
      *
      * <code>bool generate_explanation = 23;</code>
@@ -8739,15 +8841,12 @@ public Builder clearGenerateExplanation() {
      *
      *
      * <pre>
-     * Explanation configuration for this BatchPredictionJob. Can only be
-     * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-     * specified it with generate_explanation set to false or unset.
+     * Explanation configuration for this BatchPredictionJob. Can be
+     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
      * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-     * this Model is not allowed.
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -8761,15 +8860,12 @@ public boolean hasExplanationSpec() {
      *
      *
      * <pre>
-     * Explanation configuration for this BatchPredictionJob. Can only be
-     * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-     * specified it with generate_explanation set to false or unset.
+     * Explanation configuration for this BatchPredictionJob. Can be
+     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
      * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-     * this Model is not allowed.
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -8789,15 +8885,12 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec getExplanationSpec()
      *
      *
      * <pre>
-     * Explanation configuration for this BatchPredictionJob. Can only be
-     * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-     * specified it with generate_explanation set to false or unset.
+     * Explanation configuration for this BatchPredictionJob. Can be
+     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
      * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-     * this Model is not allowed.
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -8819,15 +8912,12 @@ public Builder setExplanationSpec(com.google.cloud.aiplatform.v1beta1.Explanatio
      *
      *
      * <pre>
-     * Explanation configuration for this BatchPredictionJob. Can only be
-     * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-     * specified it with generate_explanation set to false or unset.
+     * Explanation configuration for this BatchPredictionJob. Can be
+     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
      * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-     * this Model is not allowed.
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -8847,15 +8937,12 @@ public Builder setExplanationSpec(
      *
      *
      * <pre>
-     * Explanation configuration for this BatchPredictionJob. Can only be
-     * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-     * specified it with generate_explanation set to false or unset.
+     * Explanation configuration for this BatchPredictionJob. Can be
+     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
      * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-     * this Model is not allowed.
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -8881,15 +8968,12 @@ public Builder mergeExplanationSpec(com.google.cloud.aiplatform.v1beta1.Explanat
      *
      *
      * <pre>
-     * Explanation configuration for this BatchPredictionJob. Can only be
-     * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-     * specified it with generate_explanation set to false or unset.
+     * Explanation configuration for this BatchPredictionJob. Can be
+     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
      * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-     * this Model is not allowed.
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -8909,15 +8993,12 @@ public Builder clearExplanationSpec() {
      *
      *
      * <pre>
-     * Explanation configuration for this BatchPredictionJob. Can only be
-     * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-     * specified it with generate_explanation set to false or unset.
+     * Explanation configuration for this BatchPredictionJob. Can be
+     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
      * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-     * this Model is not allowed.
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -8931,15 +9012,12 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder getExplanatio
      *
      *
      * <pre>
-     * Explanation configuration for this BatchPredictionJob. Can only be
-     * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-     * specified it with generate_explanation set to false or unset.
+     * Explanation configuration for this BatchPredictionJob. Can be
+     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
      * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-     * this Model is not allowed.
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -8958,15 +9036,12 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder getExplanatio
      *
      *
      * <pre>
-     * Explanation configuration for this BatchPredictionJob. Can only be
-     * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-     * specified it with generate_explanation set to false or unset.
+     * Explanation configuration for this BatchPredictionJob. Can be
+     * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
      * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-     * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-     * this Model is not allowed.
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+     * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -11354,6 +11429,211 @@ public Builder putAllLabels(java.util.Map<java.lang.String, java.lang.String> va
       return this;
     }
 
+    private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        encryptionSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a BatchPredictionJob. If this
+     * is set, then all resources created by the BatchPredictionJob will be
+     * encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     *
+     * @return Whether the encryptionSpec field is set.
+     */
+    public boolean hasEncryptionSpec() {
+      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a BatchPredictionJob. If this
+     * is set, then all resources created by the BatchPredictionJob will be
+     * encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     *
+     * @return The encryptionSpec.
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      } else {
+        return encryptionSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a BatchPredictionJob. If this
+     * is set, then all resources created by the BatchPredictionJob will be
+     * encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        encryptionSpec_ = value;
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a BatchPredictionJob. If this
+     * is set, then all resources created by the BatchPredictionJob will be
+     * encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public Builder setEncryptionSpec(
+        com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder builderForValue) {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a BatchPredictionJob. If this
+     * is set, then all resources created by the BatchPredictionJob will be
+     * encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (encryptionSpec_ != null) {
+          encryptionSpec_ =
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.newBuilder(encryptionSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          encryptionSpec_ = value;
+        }
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a BatchPredictionJob. If this
+     * is set, then all resources created by the BatchPredictionJob will be
+     * encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public Builder clearEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+        onChanged();
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a BatchPredictionJob. If this
+     * is set, then all resources created by the BatchPredictionJob will be
+     * encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
+
+      onChanged();
+      return getEncryptionSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a BatchPredictionJob. If this
+     * is set, then all resources created by the BatchPredictionJob will be
+     * encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder
+        getEncryptionSpecOrBuilder() {
+      if (encryptionSpecBuilder_ != null) {
+        return encryptionSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a BatchPredictionJob. If this
+     * is set, then all resources created by the BatchPredictionJob will be
+     * encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        getEncryptionSpecFieldBuilder() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>(
+                getEncryptionSpec(), getParentForChildren(), isClean());
+        encryptionSpec_ = null;
+      }
+      return encryptionSpecBuilder_;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJobOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJobOrBuilder.java
index 98a1d0819..bb249963f 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJobOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJobOrBuilder.java
@@ -369,15 +369,18 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * <pre>
-   * Generate explanation along with the batch prediction results.
-   * When it's true, the batch prediction output will change based on the
-   * [output format][BatchPredictionJob.output_config.predictions_format]:
-   *  * `bigquery`: output will include a column named `explanation`. The value
+   * Generate explanation with the batch prediction results.
+   * When set to `true`, the batch prediction output changes based on the
+   * `predictions_format` field of the
+   * [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config] object:
+   *  * `bigquery`: output includes a column named `explanation`. The value
    *    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
-   *  * `jsonl`: The JSON objects on each line will include an additional entry
+   *  * `jsonl`: The JSON objects on each line include an additional entry
    *    keyed `explanation`. The value of the entry is a JSON object that
    *    conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
    *  * `csv`: Generating explanations for CSV format is not supported.
+   * If this field is set to true, the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be
+   * populated.
    * </pre>
    *
    * <code>bool generate_explanation = 23;</code>
@@ -390,15 +393,12 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * <pre>
-   * Explanation configuration for this BatchPredictionJob. Can only be
-   * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-   * specified it with generate_explanation set to false or unset.
+   * Explanation configuration for this BatchPredictionJob. Can be
+   * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
    * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-   * this Model is not allowed.
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+   * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
    * </pre>
    *
    * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -410,15 +410,12 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * <pre>
-   * Explanation configuration for this BatchPredictionJob. Can only be
-   * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-   * specified it with generate_explanation set to false or unset.
+   * Explanation configuration for this BatchPredictionJob. Can be
+   * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
    * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-   * this Model is not allowed.
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+   * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
    * </pre>
    *
    * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -430,15 +427,12 @@ public interface BatchPredictionJobOrBuilder
    *
    *
    * <pre>
-   * Explanation configuration for this BatchPredictionJob. Can only be
-   * specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-   * specified it with generate_explanation set to false or unset.
+   * Explanation configuration for this BatchPredictionJob. Can be
+   * specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
    * This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-   * [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-   * this Model is not allowed.
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+   * the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
    * </pre>
    *
    * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;</code>
@@ -955,4 +949,45 @@ public interface BatchPredictionJobOrBuilder
    * <code>map&lt;string, string&gt; labels = 19;</code>
    */
   java.lang.String getLabelsOrThrow(java.lang.String key);
+
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a BatchPredictionJob. If this
+   * is set, then all resources created by the BatchPredictionJob will be
+   * encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  boolean hasEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a BatchPredictionJob. If this
+   * is set, then all resources created by the BatchPredictionJob will be
+   * encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a BatchPredictionJob. If this
+   * is set, then all resources created by the BatchPredictionJob will be
+   * encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJobProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJobProto.java
index fb08c35ec..afffd8030 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJobProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BatchPredictionJobProto.java
@@ -61,72 +61,75 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "tform.v1beta1\032\037google/api/field_behavior"
           + ".proto\032\031google/api/resource.proto\0326googl"
           + "e/cloud/aiplatform/v1beta1/completion_st"
-          + "ats.proto\0321google/cloud/aiplatform/v1bet"
-          + "a1/explanation.proto\032(google/cloud/aipla"
-          + "tform/v1beta1/io.proto\032/google/cloud/aip"
-          + "latform/v1beta1/job_state.proto\0327google/"
-          + "cloud/aiplatform/v1beta1/machine_resourc"
-          + "es.proto\032Dgoogle/cloud/aiplatform/v1beta"
-          + "1/manual_batch_tuning_parameters.proto\032\034"
-          + "google/protobuf/struct.proto\032\037google/pro"
-          + "tobuf/timestamp.proto\032\027google/rpc/status"
-          + ".proto\032\034google/api/annotations.proto\"\241\020\n"
-          + "\022BatchPredictionJob\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031"
-          + "\n\014display_name\030\002 \001(\tB\003\340A\002\0226\n\005model\030\003 \001(\t"
-          + "B\'\340A\002\372A!\n\037aiplatform.googleapis.com/Mode"
-          + "l\022Z\n\014input_config\030\004 \001(\0132?.google.cloud.a"
-          + "iplatform.v1beta1.BatchPredictionJob.Inp"
-          + "utConfigB\003\340A\002\0220\n\020model_parameters\030\005 \001(\0132"
-          + "\026.google.protobuf.Value\022\\\n\routput_config"
-          + "\030\006 \001(\0132@.google.cloud.aiplatform.v1beta1"
-          + ".BatchPredictionJob.OutputConfigB\003\340A\002\022U\n"
-          + "\023dedicated_resources\030\007 \001(\01328.google.clou"
-          + "d.aiplatform.v1beta1.BatchDedicatedResou"
-          + "rces\022i\n\036manual_batch_tuning_parameters\030\010"
-          + " \001(\0132<.google.cloud.aiplatform.v1beta1.M"
-          + "anualBatchTuningParametersB\003\340A\005\022\034\n\024gener"
-          + "ate_explanation\030\027 \001(\010\022J\n\020explanation_spe"
-          + "c\030\031 \001(\01320.google.cloud.aiplatform.v1beta"
-          + "1.ExplanationSpec\022X\n\013output_info\030\t \001(\0132>"
+          + "ats.proto\0325google/cloud/aiplatform/v1bet"
+          + "a1/encryption_spec.proto\0321google/cloud/a"
+          + "iplatform/v1beta1/explanation.proto\032(goo"
+          + "gle/cloud/aiplatform/v1beta1/io.proto\032/g"
+          + "oogle/cloud/aiplatform/v1beta1/job_state"
+          + ".proto\0327google/cloud/aiplatform/v1beta1/"
+          + "machine_resources.proto\032Dgoogle/cloud/ai"
+          + "platform/v1beta1/manual_batch_tuning_par"
+          + "ameters.proto\032\034google/protobuf/struct.pr"
+          + "oto\032\037google/protobuf/timestamp.proto\032\027go"
+          + "ogle/rpc/status.proto\032\034google/api/annota"
+          + "tions.proto\"\353\020\n\022BatchPredictionJob\022\021\n\004na"
+          + "me\030\001 \001(\tB\003\340A\003\022\031\n\014display_name\030\002 \001(\tB\003\340A\002"
+          + "\0226\n\005model\030\003 \001(\tB\'\340A\002\372A!\n\037aiplatform.goog"
+          + "leapis.com/Model\022Z\n\014input_config\030\004 \001(\0132?"
           + ".google.cloud.aiplatform.v1beta1.BatchPr"
-          + "edictionJob.OutputInfoB\003\340A\003\022=\n\005state\030\n \001"
-          + "(\0162).google.cloud.aiplatform.v1beta1.Job"
-          + "StateB\003\340A\003\022&\n\005error\030\013 \001(\0132\022.google.rpc.S"
-          + "tatusB\003\340A\003\0221\n\020partial_failures\030\014 \003(\0132\022.g"
-          + "oogle.rpc.StatusB\003\340A\003\022S\n\022resources_consu"
-          + "med\030\r \001(\01322.google.cloud.aiplatform.v1be"
-          + "ta1.ResourcesConsumedB\003\340A\003\022O\n\020completion"
-          + "_stats\030\016 \001(\01320.google.cloud.aiplatform.v"
-          + "1beta1.CompletionStatsB\003\340A\003\0224\n\013create_ti"
-          + "me\030\017 \001(\0132\032.google.protobuf.TimestampB\003\340A"
-          + "\003\0223\n\nstart_time\030\020 \001(\0132\032.google.protobuf."
-          + "TimestampB\003\340A\003\0221\n\010end_time\030\021 \001(\0132\032.googl"
-          + "e.protobuf.TimestampB\003\340A\003\0224\n\013update_time"
-          + "\030\022 \001(\0132\032.google.protobuf.TimestampB\003\340A\003\022"
-          + "O\n\006labels\030\023 \003(\0132?.google.cloud.aiplatfor"
-          + "m.v1beta1.BatchPredictionJob.LabelsEntry"
-          + "\032\304\001\n\013InputConfig\022@\n\ngcs_source\030\002 \001(\0132*.g"
-          + "oogle.cloud.aiplatform.v1beta1.GcsSource"
-          + "H\000\022J\n\017bigquery_source\030\003 \001(\0132/.google.clo"
-          + "ud.aiplatform.v1beta1.BigQuerySourceH\000\022\035"
-          + "\n\020instances_format\030\001 \001(\tB\003\340A\002B\010\n\006source\032"
-          + "\340\001\n\014OutputConfig\022J\n\017gcs_destination\030\002 \001("
-          + "\0132/.google.cloud.aiplatform.v1beta1.GcsD"
-          + "estinationH\000\022T\n\024bigquery_destination\030\003 \001"
-          + "(\01324.google.cloud.aiplatform.v1beta1.Big"
-          + "QueryDestinationH\000\022\037\n\022predictions_format"
-          + "\030\001 \001(\tB\003\340A\002B\r\n\013destination\032l\n\nOutputInfo"
-          + "\022#\n\024gcs_output_directory\030\001 \001(\tB\003\340A\003H\000\022&\n"
-          + "\027bigquery_output_dataset\030\002 \001(\tB\003\340A\003H\000B\021\n"
-          + "\017output_location\032-\n\013LabelsEntry\022\013\n\003key\030\001"
-          + " \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001:\206\001\352A\202\001\n,aiplatfo"
-          + "rm.googleapis.com/BatchPredictionJob\022Rpr"
-          + "ojects/{project}/locations/{location}/ba"
-          + "tchPredictionJobs/{batch_prediction_job}"
-          + "B\213\001\n#com.google.cloud.aiplatform.v1beta1"
-          + "B\027BatchPredictionJobProtoP\001ZIgoogle.gola"
-          + "ng.org/genproto/googleapis/cloud/aiplatf"
-          + "orm/v1beta1;aiplatformb\006proto3"
+          + "edictionJob.InputConfigB\003\340A\002\0220\n\020model_pa"
+          + "rameters\030\005 \001(\0132\026.google.protobuf.Value\022\\"
+          + "\n\routput_config\030\006 \001(\0132@.google.cloud.aip"
+          + "latform.v1beta1.BatchPredictionJob.Outpu"
+          + "tConfigB\003\340A\002\022U\n\023dedicated_resources\030\007 \001("
+          + "\01328.google.cloud.aiplatform.v1beta1.Batc"
+          + "hDedicatedResources\022i\n\036manual_batch_tuni"
+          + "ng_parameters\030\010 \001(\0132<.google.cloud.aipla"
+          + "tform.v1beta1.ManualBatchTuningParameter"
+          + "sB\003\340A\005\022\034\n\024generate_explanation\030\027 \001(\010\022J\n\020"
+          + "explanation_spec\030\031 \001(\01320.google.cloud.ai"
+          + "platform.v1beta1.ExplanationSpec\022X\n\013outp"
+          + "ut_info\030\t \001(\0132>.google.cloud.aiplatform."
+          + "v1beta1.BatchPredictionJob.OutputInfoB\003\340"
+          + "A\003\022=\n\005state\030\n \001(\0162).google.cloud.aiplatf"
+          + "orm.v1beta1.JobStateB\003\340A\003\022&\n\005error\030\013 \001(\013"
+          + "2\022.google.rpc.StatusB\003\340A\003\0221\n\020partial_fai"
+          + "lures\030\014 \003(\0132\022.google.rpc.StatusB\003\340A\003\022S\n\022"
+          + "resources_consumed\030\r \001(\01322.google.cloud."
+          + "aiplatform.v1beta1.ResourcesConsumedB\003\340A"
+          + "\003\022O\n\020completion_stats\030\016 \001(\01320.google.clo"
+          + "ud.aiplatform.v1beta1.CompletionStatsB\003\340"
+          + "A\003\0224\n\013create_time\030\017 \001(\0132\032.google.protobu"
+          + "f.TimestampB\003\340A\003\0223\n\nstart_time\030\020 \001(\0132\032.g"
+          + "oogle.protobuf.TimestampB\003\340A\003\0221\n\010end_tim"
+          + "e\030\021 \001(\0132\032.google.protobuf.TimestampB\003\340A\003"
+          + "\0224\n\013update_time\030\022 \001(\0132\032.google.protobuf."
+          + "TimestampB\003\340A\003\022O\n\006labels\030\023 \003(\0132?.google."
+          + "cloud.aiplatform.v1beta1.BatchPrediction"
+          + "Job.LabelsEntry\022H\n\017encryption_spec\030\030 \001(\013"
+          + "2/.google.cloud.aiplatform.v1beta1.Encry"
+          + "ptionSpec\032\304\001\n\013InputConfig\022@\n\ngcs_source\030"
+          + "\002 \001(\0132*.google.cloud.aiplatform.v1beta1."
+          + "GcsSourceH\000\022J\n\017bigquery_source\030\003 \001(\0132/.g"
+          + "oogle.cloud.aiplatform.v1beta1.BigQueryS"
+          + "ourceH\000\022\035\n\020instances_format\030\001 \001(\tB\003\340A\002B\010"
+          + "\n\006source\032\340\001\n\014OutputConfig\022J\n\017gcs_destina"
+          + "tion\030\002 \001(\0132/.google.cloud.aiplatform.v1b"
+          + "eta1.GcsDestinationH\000\022T\n\024bigquery_destin"
+          + "ation\030\003 \001(\01324.google.cloud.aiplatform.v1"
+          + "beta1.BigQueryDestinationH\000\022\037\n\022predictio"
+          + "ns_format\030\001 \001(\tB\003\340A\002B\r\n\013destination\032l\n\nO"
+          + "utputInfo\022#\n\024gcs_output_directory\030\001 \001(\tB"
+          + "\003\340A\003H\000\022&\n\027bigquery_output_dataset\030\002 \001(\tB"
+          + "\003\340A\003H\000B\021\n\017output_location\032-\n\013LabelsEntry"
+          + "\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001:\206\001\352A\202\001\n"
+          + ",aiplatform.googleapis.com/BatchPredicti"
+          + "onJob\022Rprojects/{project}/locations/{loc"
+          + "ation}/batchPredictionJobs/{batch_predic"
+          + "tion_job}B\213\001\n#com.google.cloud.aiplatfor"
+          + "m.v1beta1B\027BatchPredictionJobProtoP\001ZIgo"
+          + "ogle.golang.org/genproto/googleapis/clou"
+          + "d/aiplatform/v1beta1;aiplatformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -135,6 +138,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               com.google.api.FieldBehaviorProto.getDescriptor(),
               com.google.api.ResourceProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.CompletionStatsProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.ExplanationProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.IoProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.JobStateProto.getDescriptor(),
@@ -172,6 +176,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "EndTime",
               "UpdateTime",
               "Labels",
+              "EncryptionSpec",
             });
     internal_static_google_cloud_aiplatform_v1beta1_BatchPredictionJob_InputConfig_descriptor =
         internal_static_google_cloud_aiplatform_v1beta1_BatchPredictionJob_descriptor
@@ -223,6 +228,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     com.google.api.FieldBehaviorProto.getDescriptor();
     com.google.api.ResourceProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.CompletionStatsProto.getDescriptor();
+    com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.ExplanationProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.IoProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.JobStateProto.getDescriptor();
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BigQueryDestination.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BigQueryDestination.java
index 21da5207e..7f47accd5 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BigQueryDestination.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BigQueryDestination.java
@@ -117,9 +117,13 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * <pre>
-   * Required. BigQuery URI to a project, up to 2000 characters long.
+   * Required. BigQuery URI to a project or table, up to 2000 characters long.
+   * When only project is specified, Dataset and Table is created.
+   * When full table reference is specified, Dataset must exist and table must
+   * not exist.
    * Accepted forms:
-   * *  BigQuery path. For example: `bq://projectId`.
+   * *  BigQuery path. For example:
+   * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
    * </pre>
    *
    * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
@@ -142,9 +146,13 @@ public java.lang.String getOutputUri() {
    *
    *
    * <pre>
-   * Required. BigQuery URI to a project, up to 2000 characters long.
+   * Required. BigQuery URI to a project or table, up to 2000 characters long.
+   * When only project is specified, Dataset and Table is created.
+   * When full table reference is specified, Dataset must exist and table must
+   * not exist.
    * Accepted forms:
-   * *  BigQuery path. For example: `bq://projectId`.
+   * *  BigQuery path. For example:
+   * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
    * </pre>
    *
    * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
@@ -488,9 +496,13 @@ public Builder mergeFrom(
      *
      *
      * <pre>
-     * Required. BigQuery URI to a project, up to 2000 characters long.
+     * Required. BigQuery URI to a project or table, up to 2000 characters long.
+     * When only project is specified, Dataset and Table is created.
+     * When full table reference is specified, Dataset must exist and table must
+     * not exist.
      * Accepted forms:
-     * *  BigQuery path. For example: `bq://projectId`.
+     * *  BigQuery path. For example:
+     * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
      * </pre>
      *
      * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
@@ -512,9 +524,13 @@ public java.lang.String getOutputUri() {
      *
      *
      * <pre>
-     * Required. BigQuery URI to a project, up to 2000 characters long.
+     * Required. BigQuery URI to a project or table, up to 2000 characters long.
+     * When only project is specified, Dataset and Table is created.
+     * When full table reference is specified, Dataset must exist and table must
+     * not exist.
      * Accepted forms:
-     * *  BigQuery path. For example: `bq://projectId`.
+     * *  BigQuery path. For example:
+     * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
      * </pre>
      *
      * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
@@ -536,9 +552,13 @@ public com.google.protobuf.ByteString getOutputUriBytes() {
      *
      *
      * <pre>
-     * Required. BigQuery URI to a project, up to 2000 characters long.
+     * Required. BigQuery URI to a project or table, up to 2000 characters long.
+     * When only project is specified, Dataset and Table is created.
+     * When full table reference is specified, Dataset must exist and table must
+     * not exist.
      * Accepted forms:
-     * *  BigQuery path. For example: `bq://projectId`.
+     * *  BigQuery path. For example:
+     * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
      * </pre>
      *
      * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
@@ -559,9 +579,13 @@ public Builder setOutputUri(java.lang.String value) {
      *
      *
      * <pre>
-     * Required. BigQuery URI to a project, up to 2000 characters long.
+     * Required. BigQuery URI to a project or table, up to 2000 characters long.
+     * When only project is specified, Dataset and Table is created.
+     * When full table reference is specified, Dataset must exist and table must
+     * not exist.
      * Accepted forms:
-     * *  BigQuery path. For example: `bq://projectId`.
+     * *  BigQuery path. For example:
+     * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
      * </pre>
      *
      * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
@@ -578,9 +602,13 @@ public Builder clearOutputUri() {
      *
      *
      * <pre>
-     * Required. BigQuery URI to a project, up to 2000 characters long.
+     * Required. BigQuery URI to a project or table, up to 2000 characters long.
+     * When only project is specified, Dataset and Table is created.
+     * When full table reference is specified, Dataset must exist and table must
+     * not exist.
      * Accepted forms:
-     * *  BigQuery path. For example: `bq://projectId`.
+     * *  BigQuery path. For example:
+     * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
      * </pre>
      *
      * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BigQueryDestinationOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BigQueryDestinationOrBuilder.java
index aff64073c..0ff99b258 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BigQueryDestinationOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/BigQueryDestinationOrBuilder.java
@@ -27,9 +27,13 @@ public interface BigQueryDestinationOrBuilder
    *
    *
    * <pre>
-   * Required. BigQuery URI to a project, up to 2000 characters long.
+   * Required. BigQuery URI to a project or table, up to 2000 characters long.
+   * When only project is specified, Dataset and Table is created.
+   * When full table reference is specified, Dataset must exist and table must
+   * not exist.
    * Accepted forms:
-   * *  BigQuery path. For example: `bq://projectId`.
+   * *  BigQuery path. For example:
+   * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
    * </pre>
    *
    * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
@@ -41,9 +45,13 @@ public interface BigQueryDestinationOrBuilder
    *
    *
    * <pre>
-   * Required. BigQuery URI to a project, up to 2000 characters long.
+   * Required. BigQuery URI to a project or table, up to 2000 characters long.
+   * When only project is specified, Dataset and Table is created.
+   * When full table reference is specified, Dataset must exist and table must
+   * not exist.
    * Accepted forms:
-   * *  BigQuery path. For example: `bq://projectId`.
+   * *  BigQuery path. For example:
+   * `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
    * </pre>
    *
    * <code>string output_uri = 1 [(.google.api.field_behavior) = REQUIRED];</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJob.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJob.java
index 469374d81..058277cd5 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJob.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJob.java
@@ -199,6 +199,23 @@ private CustomJob(
                   input.readMessage(
                       LabelsDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry);
               labels_.getMutableMap().put(labels__.getKey(), labels__.getValue());
+              break;
+            }
+          case 98:
+            {
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder subBuilder = null;
+              if (encryptionSpec_ != null) {
+                subBuilder = encryptionSpec_.toBuilder();
+              }
+              encryptionSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1beta1.EncryptionSpec.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(encryptionSpec_);
+                encryptionSpec_ = subBuilder.buildPartial();
+              }
+
               break;
             }
           default:
@@ -807,6 +824,60 @@ public java.lang.String getLabelsOrThrow(java.lang.String key) {
     return map.get(key);
   }
 
+  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 12;
+  private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a CustomJob. If this is set,
+   * then all resources created by the CustomJob will be encrypted with the
+   * provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasEncryptionSpec() {
+    return encryptionSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a CustomJob. If this is set,
+   * then all resources created by the CustomJob will be encrypted with the
+   * provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+    return encryptionSpec_ == null
+        ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+        : encryptionSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a CustomJob. If this is set,
+   * then all resources created by the CustomJob will be encrypted with the
+   * provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+    return getEncryptionSpec();
+  }
+
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -850,6 +921,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     }
     com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
         output, internalGetLabels(), LabelsDefaultEntryHolder.defaultEntry, 11);
+    if (encryptionSpec_ != null) {
+      output.writeMessage(12, getEncryptionSpec());
+    }
     unknownFields.writeTo(output);
   }
 
@@ -896,6 +970,9 @@ public int getSerializedSize() {
               .build();
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(11, labels__);
     }
+    if (encryptionSpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(12, getEncryptionSpec());
+    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -940,6 +1017,10 @@ public boolean equals(final java.lang.Object obj) {
       if (!getError().equals(other.getError())) return false;
     }
     if (!internalGetLabels().equals(other.internalGetLabels())) return false;
+    if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
+    if (hasEncryptionSpec()) {
+      if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
+    }
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -985,6 +1066,10 @@ public int hashCode() {
       hash = (37 * hash) + LABELS_FIELD_NUMBER;
       hash = (53 * hash) + internalGetLabels().hashCode();
     }
+    if (hasEncryptionSpec()) {
+      hash = (37 * hash) + ENCRYPTION_SPEC_FIELD_NUMBER;
+      hash = (53 * hash) + getEncryptionSpec().hashCode();
+    }
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -1196,6 +1281,12 @@ public Builder clear() {
         errorBuilder_ = null;
       }
       internalGetMutableLabels().clear();
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
       return this;
     }
 
@@ -1259,6 +1350,11 @@ public com.google.cloud.aiplatform.v1beta1.CustomJob buildPartial() {
       }
       result.labels_ = internalGetLabels();
       result.labels_.makeImmutable();
+      if (encryptionSpecBuilder_ == null) {
+        result.encryptionSpec_ = encryptionSpec_;
+      } else {
+        result.encryptionSpec_ = encryptionSpecBuilder_.build();
+      }
       onBuilt();
       return result;
     }
@@ -1338,6 +1434,9 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.CustomJob other) {
         mergeError(other.getError());
       }
       internalGetMutableLabels().mergeFrom(other.internalGetLabels());
+      if (other.hasEncryptionSpec()) {
+        mergeEncryptionSpec(other.getEncryptionSpec());
+      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -3059,6 +3158,211 @@ public Builder putAllLabels(java.util.Map<java.lang.String, java.lang.String> va
       return this;
     }
 
+    private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        encryptionSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a CustomJob. If this is set,
+     * then all resources created by the CustomJob will be encrypted with the
+     * provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+     *
+     * @return Whether the encryptionSpec field is set.
+     */
+    public boolean hasEncryptionSpec() {
+      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a CustomJob. If this is set,
+     * then all resources created by the CustomJob will be encrypted with the
+     * provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+     *
+     * @return The encryptionSpec.
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      } else {
+        return encryptionSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a CustomJob. If this is set,
+     * then all resources created by the CustomJob will be encrypted with the
+     * provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+     */
+    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        encryptionSpec_ = value;
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a CustomJob. If this is set,
+     * then all resources created by the CustomJob will be encrypted with the
+     * provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+     */
+    public Builder setEncryptionSpec(
+        com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder builderForValue) {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a CustomJob. If this is set,
+     * then all resources created by the CustomJob will be encrypted with the
+     * provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+     */
+    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (encryptionSpec_ != null) {
+          encryptionSpec_ =
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.newBuilder(encryptionSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          encryptionSpec_ = value;
+        }
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a CustomJob. If this is set,
+     * then all resources created by the CustomJob will be encrypted with the
+     * provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+     */
+    public Builder clearEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+        onChanged();
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a CustomJob. If this is set,
+     * then all resources created by the CustomJob will be encrypted with the
+     * provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
+
+      onChanged();
+      return getEncryptionSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a CustomJob. If this is set,
+     * then all resources created by the CustomJob will be encrypted with the
+     * provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder
+        getEncryptionSpecOrBuilder() {
+      if (encryptionSpecBuilder_ != null) {
+        return encryptionSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a CustomJob. If this is set,
+     * then all resources created by the CustomJob will be encrypted with the
+     * provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        getEncryptionSpecFieldBuilder() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>(
+                getEncryptionSpec(), getParentForChildren(), isClean());
+        encryptionSpec_ = null;
+      }
+      return encryptionSpecBuilder_;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobOrBuilder.java
index 23e21ff9d..516d9aa0a 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobOrBuilder.java
@@ -416,4 +416,45 @@ public interface CustomJobOrBuilder
    * <code>map&lt;string, string&gt; labels = 11;</code>
    */
   java.lang.String getLabelsOrThrow(java.lang.String key);
+
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a CustomJob. If this is set,
+   * then all resources created by the CustomJob will be encrypted with the
+   * provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  boolean hasEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a CustomJob. If this is set,
+   * then all resources created by the CustomJob will be encrypted with the
+   * provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a CustomJob. If this is set,
+   * then all resources created by the CustomJob will be encrypted with the
+   * provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 12;</code>
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobProto.java
index 0261623f3..78f43fce9 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobProto.java
@@ -67,58 +67,62 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
       "\n0google/cloud/aiplatform/v1beta1/custom"
           + "_job.proto\022\037google.cloud.aiplatform.v1be"
           + "ta1\032\037google/api/field_behavior.proto\032\031go"
-          + "ogle/api/resource.proto\032-google/cloud/ai"
-          + "platform/v1beta1/env_var.proto\032(google/c"
-          + "loud/aiplatform/v1beta1/io.proto\032/google"
-          + "/cloud/aiplatform/v1beta1/job_state.prot"
-          + "o\0327google/cloud/aiplatform/v1beta1/machi"
-          + "ne_resources.proto\032\036google/protobuf/dura"
-          + "tion.proto\032\037google/protobuf/timestamp.pr"
-          + "oto\032\027google/rpc/status.proto\032\034google/api"
-          + "/annotations.proto\"\235\005\n\tCustomJob\022\021\n\004name"
-          + "\030\001 \001(\tB\003\340A\003\022\031\n\014display_name\030\002 \001(\tB\003\340A\002\022E"
-          + "\n\010job_spec\030\004 \001(\0132..google.cloud.aiplatfo"
-          + "rm.v1beta1.CustomJobSpecB\003\340A\002\022=\n\005state\030\005"
-          + " \001(\0162).google.cloud.aiplatform.v1beta1.J"
-          + "obStateB\003\340A\003\0224\n\013create_time\030\006 \001(\0132\032.goog"
-          + "le.protobuf.TimestampB\003\340A\003\0223\n\nstart_time"
-          + "\030\007 \001(\0132\032.google.protobuf.TimestampB\003\340A\003\022"
-          + "1\n\010end_time\030\010 \001(\0132\032.google.protobuf.Time"
-          + "stampB\003\340A\003\0224\n\013update_time\030\t \001(\0132\032.google"
-          + ".protobuf.TimestampB\003\340A\003\022&\n\005error\030\n \001(\0132"
-          + "\022.google.rpc.StatusB\003\340A\003\022F\n\006labels\030\013 \003(\013"
-          + "26.google.cloud.aiplatform.v1beta1.Custo"
-          + "mJob.LabelsEntry\032-\n\013LabelsEntry\022\013\n\003key\030\001"
-          + " \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001:i\352Af\n#aiplatform"
-          + ".googleapis.com/CustomJob\022?projects/{pro"
-          + "ject}/locations/{location}/customJobs/{c"
-          + "ustom_job}\"\233\002\n\rCustomJobSpec\022O\n\021worker_p"
-          + "ool_specs\030\001 \003(\0132/.google.cloud.aiplatfor"
-          + "m.v1beta1.WorkerPoolSpecB\003\340A\002\022?\n\nschedul"
-          + "ing\030\003 \001(\0132+.google.cloud.aiplatform.v1be"
-          + "ta1.Scheduling\022\027\n\017service_account\030\004 \001(\t\022"
-          + "\017\n\007network\030\005 \001(\t\022N\n\025base_output_director"
-          + "y\030\006 \001(\0132/.google.cloud.aiplatform.v1beta"
-          + "1.GcsDestination\"\333\002\n\016WorkerPoolSpec\022H\n\016c"
-          + "ontainer_spec\030\006 \001(\0132..google.cloud.aipla"
-          + "tform.v1beta1.ContainerSpecH\000\022Q\n\023python_"
-          + "package_spec\030\007 \001(\01322.google.cloud.aiplat"
-          + "form.v1beta1.PythonPackageSpecH\000\022J\n\014mach"
-          + "ine_spec\030\001 \001(\0132,.google.cloud.aiplatform"
-          + ".v1beta1.MachineSpecB\006\340A\002\340A\005\022\032\n\rreplica_"
-          + "count\030\002 \001(\003B\003\340A\002\022<\n\tdisk_spec\030\005 \001(\0132).go"
-          + "ogle.cloud.aiplatform.v1beta1.DiskSpecB\006"
-          + "\n\004task\"F\n\rContainerSpec\022\026\n\timage_uri\030\001 \001"
-          + "(\tB\003\340A\002\022\017\n\007command\030\002 \003(\t\022\014\n\004args\030\003 \003(\t\"y"
-          + "\n\021PythonPackageSpec\022\037\n\022executor_image_ur"
-          + "i\030\001 \001(\tB\003\340A\002\022\031\n\014package_uris\030\002 \003(\tB\003\340A\002\022"
-          + "\032\n\rpython_module\030\003 \001(\tB\003\340A\002\022\014\n\004args\030\004 \003("
-          + "\t\"_\n\nScheduling\022*\n\007timeout\030\001 \001(\0132\031.googl"
-          + "e.protobuf.Duration\022%\n\035restart_job_on_wo"
-          + "rker_restart\030\003 \001(\010B\202\001\n#com.google.cloud."
-          + "aiplatform.v1beta1B\016CustomJobProtoP\001ZIgo"
-          + "ogle.golang.org/genproto/googleapis/clou"
-          + "d/aiplatform/v1beta1;aiplatformb\006proto3"
+          + "ogle/api/resource.proto\0325google/cloud/ai"
+          + "platform/v1beta1/encryption_spec.proto\032-"
+          + "google/cloud/aiplatform/v1beta1/env_var."
+          + "proto\032(google/cloud/aiplatform/v1beta1/i"
+          + "o.proto\032/google/cloud/aiplatform/v1beta1"
+          + "/job_state.proto\0327google/cloud/aiplatfor"
+          + "m/v1beta1/machine_resources.proto\032\036googl"
+          + "e/protobuf/duration.proto\032\037google/protob"
+          + "uf/timestamp.proto\032\027google/rpc/status.pr"
+          + "oto\032\034google/api/annotations.proto\"\347\005\n\tCu"
+          + "stomJob\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031\n\014display_na"
+          + "me\030\002 \001(\tB\003\340A\002\022E\n\010job_spec\030\004 \001(\0132..google"
+          + ".cloud.aiplatform.v1beta1.CustomJobSpecB"
+          + "\003\340A\002\022=\n\005state\030\005 \001(\0162).google.cloud.aipla"
+          + "tform.v1beta1.JobStateB\003\340A\003\0224\n\013create_ti"
+          + "me\030\006 \001(\0132\032.google.protobuf.TimestampB\003\340A"
+          + "\003\0223\n\nstart_time\030\007 \001(\0132\032.google.protobuf."
+          + "TimestampB\003\340A\003\0221\n\010end_time\030\010 \001(\0132\032.googl"
+          + "e.protobuf.TimestampB\003\340A\003\0224\n\013update_time"
+          + "\030\t \001(\0132\032.google.protobuf.TimestampB\003\340A\003\022"
+          + "&\n\005error\030\n \001(\0132\022.google.rpc.StatusB\003\340A\003\022"
+          + "F\n\006labels\030\013 \003(\01326.google.cloud.aiplatfor"
+          + "m.v1beta1.CustomJob.LabelsEntry\022H\n\017encry"
+          + "ption_spec\030\014 \001(\0132/.google.cloud.aiplatfo"
+          + "rm.v1beta1.EncryptionSpec\032-\n\013LabelsEntry"
+          + "\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001:i\352Af\n#a"
+          + "iplatform.googleapis.com/CustomJob\022?proj"
+          + "ects/{project}/locations/{location}/cust"
+          + "omJobs/{custom_job}\"\233\002\n\rCustomJobSpec\022O\n"
+          + "\021worker_pool_specs\030\001 \003(\0132/.google.cloud."
+          + "aiplatform.v1beta1.WorkerPoolSpecB\003\340A\002\022?"
+          + "\n\nscheduling\030\003 \001(\0132+.google.cloud.aiplat"
+          + "form.v1beta1.Scheduling\022\027\n\017service_accou"
+          + "nt\030\004 \001(\t\022\017\n\007network\030\005 \001(\t\022N\n\025base_output"
+          + "_directory\030\006 \001(\0132/.google.cloud.aiplatfo"
+          + "rm.v1beta1.GcsDestination\"\333\002\n\016WorkerPool"
+          + "Spec\022H\n\016container_spec\030\006 \001(\0132..google.cl"
+          + "oud.aiplatform.v1beta1.ContainerSpecH\000\022Q"
+          + "\n\023python_package_spec\030\007 \001(\01322.google.clo"
+          + "ud.aiplatform.v1beta1.PythonPackageSpecH"
+          + "\000\022J\n\014machine_spec\030\001 \001(\0132,.google.cloud.a"
+          + "iplatform.v1beta1.MachineSpecB\006\340A\001\340A\005\022\032\n"
+          + "\rreplica_count\030\002 \001(\003B\003\340A\001\022<\n\tdisk_spec\030\005"
+          + " \001(\0132).google.cloud.aiplatform.v1beta1.D"
+          + "iskSpecB\006\n\004task\"F\n\rContainerSpec\022\026\n\timag"
+          + "e_uri\030\001 \001(\tB\003\340A\002\022\017\n\007command\030\002 \003(\t\022\014\n\004arg"
+          + "s\030\003 \003(\t\"y\n\021PythonPackageSpec\022\037\n\022executor"
+          + "_image_uri\030\001 \001(\tB\003\340A\002\022\031\n\014package_uris\030\002 "
+          + "\003(\tB\003\340A\002\022\032\n\rpython_module\030\003 \001(\tB\003\340A\002\022\014\n\004"
+          + "args\030\004 \003(\t\"_\n\nScheduling\022*\n\007timeout\030\001 \001("
+          + "\0132\031.google.protobuf.Duration\022%\n\035restart_"
+          + "job_on_worker_restart\030\003 \001(\010B\202\001\n#com.goog"
+          + "le.cloud.aiplatform.v1beta1B\016CustomJobPr"
+          + "otoP\001ZIgoogle.golang.org/genproto/google"
+          + "apis/cloud/aiplatform/v1beta1;aiplatform"
+          + "b\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -126,6 +130,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
             new com.google.protobuf.Descriptors.FileDescriptor[] {
               com.google.api.FieldBehaviorProto.getDescriptor(),
               com.google.api.ResourceProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.EnvVarProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.IoProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.JobStateProto.getDescriptor(),
@@ -151,6 +156,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "UpdateTime",
               "Error",
               "Labels",
+              "EncryptionSpec",
             });
     internal_static_google_cloud_aiplatform_v1beta1_CustomJob_LabelsEntry_descriptor =
         internal_static_google_cloud_aiplatform_v1beta1_CustomJob_descriptor
@@ -215,6 +221,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
         descriptor, registry);
     com.google.api.FieldBehaviorProto.getDescriptor();
     com.google.api.ResourceProto.getDescriptor();
+    com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.EnvVarProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.IoProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.JobStateProto.getDescriptor();
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpec.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpec.java
index 137e2116c..b0c020694 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpec.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpec.java
@@ -307,6 +307,8 @@ public com.google.cloud.aiplatform.v1beta1.SchedulingOrBuilder getSchedulingOrBu
    * <pre>
    * Specifies the service account for workload run-as account.
    * Users submitting jobs must have act-as permission on this run-as account.
+   * If unspecified, the AI Platform Custom Code Service Agent for the
+   * CustomJob's project is used.
    * </pre>
    *
    * <code>string service_account = 4;</code>
@@ -331,6 +333,8 @@ public java.lang.String getServiceAccount() {
    * <pre>
    * Specifies the service account for workload run-as account.
    * Users submitting jobs must have act-as permission on this run-as account.
+   * If unspecified, the AI Platform Custom Code Service Agent for the
+   * CustomJob's project is used.
    * </pre>
    *
    * <code>string service_account = 4;</code>
@@ -358,11 +362,10 @@ public com.google.protobuf.ByteString getServiceAccountBytes() {
    * <pre>
    * The full name of the Compute Engine
    * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-   * should be peered. For example, projects/12345/global/networks/myVPC.
-   * [Format](https:
-   * //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
-   * is of the form projects/{project}/global/networks/{network}.
-   * Where {project} is a project number, as in '12345', and {network} is
+   * should be peered. For example, `projects/12345/global/networks/myVPC`.
+   * [Format](/compute/docs/reference/rest/v1/networks/insert)
+   * is of the form `projects/{project}/global/networks/{network}`.
+   * Where {project} is a project number, as in `12345`, and {network} is a
    * network name.
    * Private services access must already be configured for the network. If left
    * unspecified, the job is not peered with any network.
@@ -390,11 +393,10 @@ public java.lang.String getNetwork() {
    * <pre>
    * The full name of the Compute Engine
    * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-   * should be peered. For example, projects/12345/global/networks/myVPC.
-   * [Format](https:
-   * //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
-   * is of the form projects/{project}/global/networks/{network}.
-   * Where {project} is a project number, as in '12345', and {network} is
+   * should be peered. For example, `projects/12345/global/networks/myVPC`.
+   * [Format](/compute/docs/reference/rest/v1/networks/insert)
+   * is of the form `projects/{project}/global/networks/{network}`.
+   * Where {project} is a project number, as in `12345`, and {network} is a
    * network name.
    * Private services access must already be configured for the network. If left
    * unspecified, the job is not peered with any network.
@@ -423,14 +425,14 @@ public com.google.protobuf.ByteString getNetworkBytes() {
    *
    *
    * <pre>
-   * The Google Cloud Storage location to store the output of this CustomJob or
+   * The Cloud Storage location to store the output of this CustomJob or
    * HyperparameterTuningJob. For HyperparameterTuningJob,
-   * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+   * the baseOutputDirectory of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-   * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-   * Following AI Platform environment variables will be passed to containers or
-   * python modules when this field is set:
+   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+   * baseOutputDirectory.
+   * The following AI Platform environment variables will be passed to
+   * containers or python modules when this field is set:
    *   For CustomJob:
    *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
    *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -453,14 +455,14 @@ public boolean hasBaseOutputDirectory() {
    *
    *
    * <pre>
-   * The Google Cloud Storage location to store the output of this CustomJob or
+   * The Cloud Storage location to store the output of this CustomJob or
    * HyperparameterTuningJob. For HyperparameterTuningJob,
-   * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+   * the baseOutputDirectory of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-   * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-   * Following AI Platform environment variables will be passed to containers or
-   * python modules when this field is set:
+   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+   * baseOutputDirectory.
+   * The following AI Platform environment variables will be passed to
+   * containers or python modules when this field is set:
    *   For CustomJob:
    *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
    *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -485,14 +487,14 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getBaseOutputDirectory
    *
    *
    * <pre>
-   * The Google Cloud Storage location to store the output of this CustomJob or
+   * The Cloud Storage location to store the output of this CustomJob or
    * HyperparameterTuningJob. For HyperparameterTuningJob,
-   * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+   * the baseOutputDirectory of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-   * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-   * Following AI Platform environment variables will be passed to containers or
-   * python modules when this field is set:
+   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+   * baseOutputDirectory.
+   * The following AI Platform environment variables will be passed to
+   * containers or python modules when this field is set:
    *   For CustomJob:
    *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
    *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -1550,6 +1552,8 @@ public com.google.cloud.aiplatform.v1beta1.SchedulingOrBuilder getSchedulingOrBu
      * <pre>
      * Specifies the service account for workload run-as account.
      * Users submitting jobs must have act-as permission on this run-as account.
+     * If unspecified, the AI Platform Custom Code Service Agent for the
+     * CustomJob's project is used.
      * </pre>
      *
      * <code>string service_account = 4;</code>
@@ -1573,6 +1577,8 @@ public java.lang.String getServiceAccount() {
      * <pre>
      * Specifies the service account for workload run-as account.
      * Users submitting jobs must have act-as permission on this run-as account.
+     * If unspecified, the AI Platform Custom Code Service Agent for the
+     * CustomJob's project is used.
      * </pre>
      *
      * <code>string service_account = 4;</code>
@@ -1596,6 +1602,8 @@ public com.google.protobuf.ByteString getServiceAccountBytes() {
      * <pre>
      * Specifies the service account for workload run-as account.
      * Users submitting jobs must have act-as permission on this run-as account.
+     * If unspecified, the AI Platform Custom Code Service Agent for the
+     * CustomJob's project is used.
      * </pre>
      *
      * <code>string service_account = 4;</code>
@@ -1618,6 +1626,8 @@ public Builder setServiceAccount(java.lang.String value) {
      * <pre>
      * Specifies the service account for workload run-as account.
      * Users submitting jobs must have act-as permission on this run-as account.
+     * If unspecified, the AI Platform Custom Code Service Agent for the
+     * CustomJob's project is used.
      * </pre>
      *
      * <code>string service_account = 4;</code>
@@ -1636,6 +1646,8 @@ public Builder clearServiceAccount() {
      * <pre>
      * Specifies the service account for workload run-as account.
      * Users submitting jobs must have act-as permission on this run-as account.
+     * If unspecified, the AI Platform Custom Code Service Agent for the
+     * CustomJob's project is used.
      * </pre>
      *
      * <code>string service_account = 4;</code>
@@ -1661,11 +1673,10 @@ public Builder setServiceAccountBytes(com.google.protobuf.ByteString value) {
      * <pre>
      * The full name of the Compute Engine
      * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-     * should be peered. For example, projects/12345/global/networks/myVPC.
-     * [Format](https:
-     * //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
-     * is of the form projects/{project}/global/networks/{network}.
-     * Where {project} is a project number, as in '12345', and {network} is
+     * should be peered. For example, `projects/12345/global/networks/myVPC`.
+     * [Format](/compute/docs/reference/rest/v1/networks/insert)
+     * is of the form `projects/{project}/global/networks/{network}`.
+     * Where {project} is a project number, as in `12345`, and {network} is a
      * network name.
      * Private services access must already be configured for the network. If left
      * unspecified, the job is not peered with any network.
@@ -1692,11 +1703,10 @@ public java.lang.String getNetwork() {
      * <pre>
      * The full name of the Compute Engine
      * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-     * should be peered. For example, projects/12345/global/networks/myVPC.
-     * [Format](https:
-     * //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
-     * is of the form projects/{project}/global/networks/{network}.
-     * Where {project} is a project number, as in '12345', and {network} is
+     * should be peered. For example, `projects/12345/global/networks/myVPC`.
+     * [Format](/compute/docs/reference/rest/v1/networks/insert)
+     * is of the form `projects/{project}/global/networks/{network}`.
+     * Where {project} is a project number, as in `12345`, and {network} is a
      * network name.
      * Private services access must already be configured for the network. If left
      * unspecified, the job is not peered with any network.
@@ -1723,11 +1733,10 @@ public com.google.protobuf.ByteString getNetworkBytes() {
      * <pre>
      * The full name of the Compute Engine
      * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-     * should be peered. For example, projects/12345/global/networks/myVPC.
-     * [Format](https:
-     * //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
-     * is of the form projects/{project}/global/networks/{network}.
-     * Where {project} is a project number, as in '12345', and {network} is
+     * should be peered. For example, `projects/12345/global/networks/myVPC`.
+     * [Format](/compute/docs/reference/rest/v1/networks/insert)
+     * is of the form `projects/{project}/global/networks/{network}`.
+     * Where {project} is a project number, as in `12345`, and {network} is a
      * network name.
      * Private services access must already be configured for the network. If left
      * unspecified, the job is not peered with any network.
@@ -1753,11 +1762,10 @@ public Builder setNetwork(java.lang.String value) {
      * <pre>
      * The full name of the Compute Engine
      * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-     * should be peered. For example, projects/12345/global/networks/myVPC.
-     * [Format](https:
-     * //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
-     * is of the form projects/{project}/global/networks/{network}.
-     * Where {project} is a project number, as in '12345', and {network} is
+     * should be peered. For example, `projects/12345/global/networks/myVPC`.
+     * [Format](/compute/docs/reference/rest/v1/networks/insert)
+     * is of the form `projects/{project}/global/networks/{network}`.
+     * Where {project} is a project number, as in `12345`, and {network} is a
      * network name.
      * Private services access must already be configured for the network. If left
      * unspecified, the job is not peered with any network.
@@ -1779,11 +1787,10 @@ public Builder clearNetwork() {
      * <pre>
      * The full name of the Compute Engine
      * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-     * should be peered. For example, projects/12345/global/networks/myVPC.
-     * [Format](https:
-     * //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
-     * is of the form projects/{project}/global/networks/{network}.
-     * Where {project} is a project number, as in '12345', and {network} is
+     * should be peered. For example, `projects/12345/global/networks/myVPC`.
+     * [Format](/compute/docs/reference/rest/v1/networks/insert)
+     * is of the form `projects/{project}/global/networks/{network}`.
+     * Where {project} is a project number, as in `12345`, and {network} is a
      * network name.
      * Private services access must already be configured for the network. If left
      * unspecified, the job is not peered with any network.
@@ -1815,14 +1822,14 @@ public Builder setNetworkBytes(com.google.protobuf.ByteString value) {
      *
      *
      * <pre>
-     * The Google Cloud Storage location to store the output of this CustomJob or
+     * The Cloud Storage location to store the output of this CustomJob or
      * HyperparameterTuningJob. For HyperparameterTuningJob,
-     * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+     * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-     * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-     * Following AI Platform environment variables will be passed to containers or
-     * python modules when this field is set:
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+     * baseOutputDirectory.
+     * The following AI Platform environment variables will be passed to
+     * containers or python modules when this field is set:
      *   For CustomJob:
      *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
      *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -1844,14 +1851,14 @@ public boolean hasBaseOutputDirectory() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location to store the output of this CustomJob or
+     * The Cloud Storage location to store the output of this CustomJob or
      * HyperparameterTuningJob. For HyperparameterTuningJob,
-     * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+     * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-     * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-     * Following AI Platform environment variables will be passed to containers or
-     * python modules when this field is set:
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+     * baseOutputDirectory.
+     * The following AI Platform environment variables will be passed to
+     * containers or python modules when this field is set:
      *   For CustomJob:
      *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
      *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -1879,14 +1886,14 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getBaseOutputDirectory
      *
      *
      * <pre>
-     * The Google Cloud Storage location to store the output of this CustomJob or
+     * The Cloud Storage location to store the output of this CustomJob or
      * HyperparameterTuningJob. For HyperparameterTuningJob,
-     * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+     * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-     * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-     * Following AI Platform environment variables will be passed to containers or
-     * python modules when this field is set:
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+     * baseOutputDirectory.
+     * The following AI Platform environment variables will be passed to
+     * containers or python modules when this field is set:
      *   For CustomJob:
      *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
      *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -1917,14 +1924,14 @@ public Builder setBaseOutputDirectory(
      *
      *
      * <pre>
-     * The Google Cloud Storage location to store the output of this CustomJob or
+     * The Cloud Storage location to store the output of this CustomJob or
      * HyperparameterTuningJob. For HyperparameterTuningJob,
-     * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+     * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-     * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-     * Following AI Platform environment variables will be passed to containers or
-     * python modules when this field is set:
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+     * baseOutputDirectory.
+     * The following AI Platform environment variables will be passed to
+     * containers or python modules when this field is set:
      *   For CustomJob:
      *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
      *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -1952,14 +1959,14 @@ public Builder setBaseOutputDirectory(
      *
      *
      * <pre>
-     * The Google Cloud Storage location to store the output of this CustomJob or
+     * The Cloud Storage location to store the output of this CustomJob or
      * HyperparameterTuningJob. For HyperparameterTuningJob,
-     * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+     * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-     * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-     * Following AI Platform environment variables will be passed to containers or
-     * python modules when this field is set:
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+     * baseOutputDirectory.
+     * The following AI Platform environment variables will be passed to
+     * containers or python modules when this field is set:
      *   For CustomJob:
      *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
      *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -1994,14 +2001,14 @@ public Builder mergeBaseOutputDirectory(
      *
      *
      * <pre>
-     * The Google Cloud Storage location to store the output of this CustomJob or
+     * The Cloud Storage location to store the output of this CustomJob or
      * HyperparameterTuningJob. For HyperparameterTuningJob,
-     * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+     * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-     * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-     * Following AI Platform environment variables will be passed to containers or
-     * python modules when this field is set:
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+     * baseOutputDirectory.
+     * The following AI Platform environment variables will be passed to
+     * containers or python modules when this field is set:
      *   For CustomJob:
      *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
      *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -2029,14 +2036,14 @@ public Builder clearBaseOutputDirectory() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location to store the output of this CustomJob or
+     * The Cloud Storage location to store the output of this CustomJob or
      * HyperparameterTuningJob. For HyperparameterTuningJob,
-     * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+     * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-     * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-     * Following AI Platform environment variables will be passed to containers or
-     * python modules when this field is set:
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+     * baseOutputDirectory.
+     * The following AI Platform environment variables will be passed to
+     * containers or python modules when this field is set:
      *   For CustomJob:
      *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
      *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -2059,14 +2066,14 @@ public Builder clearBaseOutputDirectory() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location to store the output of this CustomJob or
+     * The Cloud Storage location to store the output of this CustomJob or
      * HyperparameterTuningJob. For HyperparameterTuningJob,
-     * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+     * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-     * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-     * Following AI Platform environment variables will be passed to containers or
-     * python modules when this field is set:
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+     * baseOutputDirectory.
+     * The following AI Platform environment variables will be passed to
+     * containers or python modules when this field is set:
      *   For CustomJob:
      *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
      *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -2093,14 +2100,14 @@ public Builder clearBaseOutputDirectory() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location to store the output of this CustomJob or
+     * The Cloud Storage location to store the output of this CustomJob or
      * HyperparameterTuningJob. For HyperparameterTuningJob,
-     * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+     * the baseOutputDirectory of
      * each child CustomJob backing a Trial is set to a subdirectory of name
-     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-     * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-     * Following AI Platform environment variables will be passed to containers or
-     * python modules when this field is set:
+     * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+     * baseOutputDirectory.
+     * The following AI Platform environment variables will be passed to
+     * containers or python modules when this field is set:
      *   For CustomJob:
      *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
      *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpecOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpecOrBuilder.java
index a6c089ef2..483100384 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpecOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/CustomJobSpecOrBuilder.java
@@ -127,6 +127,8 @@ com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOr
    * <pre>
    * Specifies the service account for workload run-as account.
    * Users submitting jobs must have act-as permission on this run-as account.
+   * If unspecified, the AI Platform Custom Code Service Agent for the
+   * CustomJob's project is used.
    * </pre>
    *
    * <code>string service_account = 4;</code>
@@ -140,6 +142,8 @@ com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOr
    * <pre>
    * Specifies the service account for workload run-as account.
    * Users submitting jobs must have act-as permission on this run-as account.
+   * If unspecified, the AI Platform Custom Code Service Agent for the
+   * CustomJob's project is used.
    * </pre>
    *
    * <code>string service_account = 4;</code>
@@ -154,11 +158,10 @@ com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOr
    * <pre>
    * The full name of the Compute Engine
    * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-   * should be peered. For example, projects/12345/global/networks/myVPC.
-   * [Format](https:
-   * //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
-   * is of the form projects/{project}/global/networks/{network}.
-   * Where {project} is a project number, as in '12345', and {network} is
+   * should be peered. For example, `projects/12345/global/networks/myVPC`.
+   * [Format](/compute/docs/reference/rest/v1/networks/insert)
+   * is of the form `projects/{project}/global/networks/{network}`.
+   * Where {project} is a project number, as in `12345`, and {network} is a
    * network name.
    * Private services access must already be configured for the network. If left
    * unspecified, the job is not peered with any network.
@@ -175,11 +178,10 @@ com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOr
    * <pre>
    * The full name of the Compute Engine
    * [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-   * should be peered. For example, projects/12345/global/networks/myVPC.
-   * [Format](https:
-   * //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
-   * is of the form projects/{project}/global/networks/{network}.
-   * Where {project} is a project number, as in '12345', and {network} is
+   * should be peered. For example, `projects/12345/global/networks/myVPC`.
+   * [Format](/compute/docs/reference/rest/v1/networks/insert)
+   * is of the form `projects/{project}/global/networks/{network}`.
+   * Where {project} is a project number, as in `12345`, and {network} is a
    * network name.
    * Private services access must already be configured for the network. If left
    * unspecified, the job is not peered with any network.
@@ -195,14 +197,14 @@ com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOr
    *
    *
    * <pre>
-   * The Google Cloud Storage location to store the output of this CustomJob or
+   * The Cloud Storage location to store the output of this CustomJob or
    * HyperparameterTuningJob. For HyperparameterTuningJob,
-   * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+   * the baseOutputDirectory of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-   * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-   * Following AI Platform environment variables will be passed to containers or
-   * python modules when this field is set:
+   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+   * baseOutputDirectory.
+   * The following AI Platform environment variables will be passed to
+   * containers or python modules when this field is set:
    *   For CustomJob:
    *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
    *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -222,14 +224,14 @@ com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOr
    *
    *
    * <pre>
-   * The Google Cloud Storage location to store the output of this CustomJob or
+   * The Cloud Storage location to store the output of this CustomJob or
    * HyperparameterTuningJob. For HyperparameterTuningJob,
-   * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+   * the baseOutputDirectory of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-   * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-   * Following AI Platform environment variables will be passed to containers or
-   * python modules when this field is set:
+   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+   * baseOutputDirectory.
+   * The following AI Platform environment variables will be passed to
+   * containers or python modules when this field is set:
    *   For CustomJob:
    *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
    *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
@@ -249,14 +251,14 @@ com.google.cloud.aiplatform.v1beta1.WorkerPoolSpecOrBuilder getWorkerPoolSpecsOr
    *
    *
    * <pre>
-   * The Google Cloud Storage location to store the output of this CustomJob or
+   * The Cloud Storage location to store the output of this CustomJob or
    * HyperparameterTuningJob. For HyperparameterTuningJob,
-   * [base_output_directory][CustomJob.job_spec.base_output_directory] of
+   * the baseOutputDirectory of
    * each child CustomJob backing a Trial is set to a subdirectory of name
-   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-   * [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
-   * Following AI Platform environment variables will be passed to containers or
-   * python modules when this field is set:
+   * [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+   * baseOutputDirectory.
+   * The following AI Platform environment variables will be passed to
+   * containers or python modules when this field is set:
    *   For CustomJob:
    *   * AIP_MODEL_DIR = `&lt;base_output_directory&gt;/model/`
    *   * AIP_CHECKPOINT_DIR = `&lt;base_output_directory&gt;/checkpoints/`
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJob.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJob.java
index 6e0fe044c..2df6ab022 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJob.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJob.java
@@ -229,6 +229,23 @@ private DataLabelingJob(
                 mutable_bitField0_ |= 0x00000008;
               }
               specialistPools_.add(s);
+              break;
+            }
+          case 162:
+            {
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder subBuilder = null;
+              if (encryptionSpec_ != null) {
+                subBuilder = encryptionSpec_.toBuilder();
+              }
+              encryptionSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1beta1.EncryptionSpec.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(encryptionSpec_);
+                encryptionSpec_ = subBuilder.buildPartial();
+              }
+
               break;
             }
           case 170:
@@ -1248,13 +1265,70 @@ public com.google.protobuf.ByteString getSpecialistPoolsBytes(int index) {
     return specialistPools_.getByteString(index);
   }
 
+  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 20;
+  private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+   * DataLabelingJob will be secured by this key.
+   * Note: Annotations created in the DataLabelingJob are associated with
+   * the EncryptionSpec of the Dataset they are exported to.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasEncryptionSpec() {
+    return encryptionSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+   * DataLabelingJob will be secured by this key.
+   * Note: Annotations created in the DataLabelingJob are associated with
+   * the EncryptionSpec of the Dataset they are exported to.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+    return encryptionSpec_ == null
+        ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+        : encryptionSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+   * DataLabelingJob will be secured by this key.
+   * Note: Annotations created in the DataLabelingJob are associated with
+   * the EncryptionSpec of the Dataset they are exported to.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+    return getEncryptionSpec();
+  }
+
   public static final int ACTIVE_LEARNING_CONFIG_FIELD_NUMBER = 21;
   private com.google.cloud.aiplatform.v1beta1.ActiveLearningConfig activeLearningConfig_;
   /**
    *
    *
    * <pre>
-   * Paramaters that configure active learning pipeline. Active learning will
+   * Parameters that configure active learning pipeline. Active learning will
    * label the data incrementally via several iterations. For every iteration,
    * it will select a batch of data based on the sampling strategy.
    * </pre>
@@ -1271,7 +1345,7 @@ public boolean hasActiveLearningConfig() {
    *
    *
    * <pre>
-   * Paramaters that configure active learning pipeline. Active learning will
+   * Parameters that configure active learning pipeline. Active learning will
    * label the data incrementally via several iterations. For every iteration,
    * it will select a batch of data based on the sampling strategy.
    * </pre>
@@ -1290,7 +1364,7 @@ public com.google.cloud.aiplatform.v1beta1.ActiveLearningConfig getActiveLearnin
    *
    *
    * <pre>
-   * Paramaters that configure active learning pipeline. Active learning will
+   * Parameters that configure active learning pipeline. Active learning will
    * label the data incrementally via several iterations. For every iteration,
    * it will select a batch of data based on the sampling strategy.
    * </pre>
@@ -1360,6 +1434,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     for (int i = 0; i < specialistPools_.size(); i++) {
       com.google.protobuf.GeneratedMessageV3.writeString(output, 16, specialistPools_.getRaw(i));
     }
+    if (encryptionSpec_ != null) {
+      output.writeMessage(20, getEncryptionSpec());
+    }
     if (activeLearningConfig_ != null) {
       output.writeMessage(21, getActiveLearningConfig());
     }
@@ -1444,6 +1521,9 @@ public int getSerializedSize() {
       size += dataSize;
       size += 2 * getSpecialistPoolsList().size();
     }
+    if (encryptionSpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(20, getEncryptionSpec());
+    }
     if (activeLearningConfig_ != null) {
       size +=
           com.google.protobuf.CodedOutputStream.computeMessageSize(21, getActiveLearningConfig());
@@ -1498,6 +1578,10 @@ public boolean equals(final java.lang.Object obj) {
     }
     if (!internalGetLabels().equals(other.internalGetLabels())) return false;
     if (!getSpecialistPoolsList().equals(other.getSpecialistPoolsList())) return false;
+    if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
+    if (hasEncryptionSpec()) {
+      if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
+    }
     if (hasActiveLearningConfig() != other.hasActiveLearningConfig()) return false;
     if (hasActiveLearningConfig()) {
       if (!getActiveLearningConfig().equals(other.getActiveLearningConfig())) return false;
@@ -1563,6 +1647,10 @@ public int hashCode() {
       hash = (37 * hash) + SPECIALIST_POOLS_FIELD_NUMBER;
       hash = (53 * hash) + getSpecialistPoolsList().hashCode();
     }
+    if (hasEncryptionSpec()) {
+      hash = (37 * hash) + ENCRYPTION_SPEC_FIELD_NUMBER;
+      hash = (53 * hash) + getEncryptionSpec().hashCode();
+    }
     if (hasActiveLearningConfig()) {
       hash = (37 * hash) + ACTIVE_LEARNING_CONFIG_FIELD_NUMBER;
       hash = (53 * hash) + getActiveLearningConfig().hashCode();
@@ -1787,6 +1875,12 @@ public Builder clear() {
       internalGetMutableLabels().clear();
       specialistPools_ = com.google.protobuf.LazyStringArrayList.EMPTY;
       bitField0_ = (bitField0_ & ~0x00000008);
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
       if (activeLearningConfigBuilder_ == null) {
         activeLearningConfig_ = null;
       } else {
@@ -1867,6 +1961,11 @@ public com.google.cloud.aiplatform.v1beta1.DataLabelingJob buildPartial() {
         bitField0_ = (bitField0_ & ~0x00000008);
       }
       result.specialistPools_ = specialistPools_;
+      if (encryptionSpecBuilder_ == null) {
+        result.encryptionSpec_ = encryptionSpec_;
+      } else {
+        result.encryptionSpec_ = encryptionSpecBuilder_.build();
+      }
       if (activeLearningConfigBuilder_ == null) {
         result.activeLearningConfig_ = activeLearningConfig_;
       } else {
@@ -1984,6 +2083,9 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.DataLabelingJob oth
         }
         onChanged();
       }
+      if (other.hasEncryptionSpec()) {
+        mergeEncryptionSpec(other.getEncryptionSpec());
+      }
       if (other.hasActiveLearningConfig()) {
         mergeActiveLearningConfig(other.getActiveLearningConfig());
       }
@@ -4450,6 +4552,220 @@ public Builder addSpecialistPoolsBytes(com.google.protobuf.ByteString value) {
       return this;
     }
 
+    private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        encryptionSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+     * DataLabelingJob will be secured by this key.
+     * Note: Annotations created in the DataLabelingJob are associated with
+     * the EncryptionSpec of the Dataset they are exported to.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+     *
+     * @return Whether the encryptionSpec field is set.
+     */
+    public boolean hasEncryptionSpec() {
+      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+     * DataLabelingJob will be secured by this key.
+     * Note: Annotations created in the DataLabelingJob are associated with
+     * the EncryptionSpec of the Dataset they are exported to.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+     *
+     * @return The encryptionSpec.
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      } else {
+        return encryptionSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+     * DataLabelingJob will be secured by this key.
+     * Note: Annotations created in the DataLabelingJob are associated with
+     * the EncryptionSpec of the Dataset they are exported to.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+     */
+    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        encryptionSpec_ = value;
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+     * DataLabelingJob will be secured by this key.
+     * Note: Annotations created in the DataLabelingJob are associated with
+     * the EncryptionSpec of the Dataset they are exported to.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+     */
+    public Builder setEncryptionSpec(
+        com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder builderForValue) {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+     * DataLabelingJob will be secured by this key.
+     * Note: Annotations created in the DataLabelingJob are associated with
+     * the EncryptionSpec of the Dataset they are exported to.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+     */
+    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (encryptionSpec_ != null) {
+          encryptionSpec_ =
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.newBuilder(encryptionSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          encryptionSpec_ = value;
+        }
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+     * DataLabelingJob will be secured by this key.
+     * Note: Annotations created in the DataLabelingJob are associated with
+     * the EncryptionSpec of the Dataset they are exported to.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+     */
+    public Builder clearEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+        onChanged();
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+     * DataLabelingJob will be secured by this key.
+     * Note: Annotations created in the DataLabelingJob are associated with
+     * the EncryptionSpec of the Dataset they are exported to.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
+
+      onChanged();
+      return getEncryptionSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+     * DataLabelingJob will be secured by this key.
+     * Note: Annotations created in the DataLabelingJob are associated with
+     * the EncryptionSpec of the Dataset they are exported to.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder
+        getEncryptionSpecOrBuilder() {
+      if (encryptionSpecBuilder_ != null) {
+        return encryptionSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+     * DataLabelingJob will be secured by this key.
+     * Note: Annotations created in the DataLabelingJob are associated with
+     * the EncryptionSpec of the Dataset they are exported to.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        getEncryptionSpecFieldBuilder() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>(
+                getEncryptionSpec(), getParentForChildren(), isClean());
+        encryptionSpec_ = null;
+      }
+      return encryptionSpecBuilder_;
+    }
+
     private com.google.cloud.aiplatform.v1beta1.ActiveLearningConfig activeLearningConfig_;
     private com.google.protobuf.SingleFieldBuilderV3<
             com.google.cloud.aiplatform.v1beta1.ActiveLearningConfig,
@@ -4460,7 +4776,7 @@ public Builder addSpecialistPoolsBytes(com.google.protobuf.ByteString value) {
      *
      *
      * <pre>
-     * Paramaters that configure active learning pipeline. Active learning will
+     * Parameters that configure active learning pipeline. Active learning will
      * label the data incrementally via several iterations. For every iteration,
      * it will select a batch of data based on the sampling strategy.
      * </pre>
@@ -4477,7 +4793,7 @@ public boolean hasActiveLearningConfig() {
      *
      *
      * <pre>
-     * Paramaters that configure active learning pipeline. Active learning will
+     * Parameters that configure active learning pipeline. Active learning will
      * label the data incrementally via several iterations. For every iteration,
      * it will select a batch of data based on the sampling strategy.
      * </pre>
@@ -4500,7 +4816,7 @@ public com.google.cloud.aiplatform.v1beta1.ActiveLearningConfig getActiveLearnin
      *
      *
      * <pre>
-     * Paramaters that configure active learning pipeline. Active learning will
+     * Parameters that configure active learning pipeline. Active learning will
      * label the data incrementally via several iterations. For every iteration,
      * it will select a batch of data based on the sampling strategy.
      * </pre>
@@ -4526,7 +4842,7 @@ public Builder setActiveLearningConfig(
      *
      *
      * <pre>
-     * Paramaters that configure active learning pipeline. Active learning will
+     * Parameters that configure active learning pipeline. Active learning will
      * label the data incrementally via several iterations. For every iteration,
      * it will select a batch of data based on the sampling strategy.
      * </pre>
@@ -4549,7 +4865,7 @@ public Builder setActiveLearningConfig(
      *
      *
      * <pre>
-     * Paramaters that configure active learning pipeline. Active learning will
+     * Parameters that configure active learning pipeline. Active learning will
      * label the data incrementally via several iterations. For every iteration,
      * it will select a batch of data based on the sampling strategy.
      * </pre>
@@ -4580,7 +4896,7 @@ public Builder mergeActiveLearningConfig(
      *
      *
      * <pre>
-     * Paramaters that configure active learning pipeline. Active learning will
+     * Parameters that configure active learning pipeline. Active learning will
      * label the data incrementally via several iterations. For every iteration,
      * it will select a batch of data based on the sampling strategy.
      * </pre>
@@ -4603,7 +4919,7 @@ public Builder clearActiveLearningConfig() {
      *
      *
      * <pre>
-     * Paramaters that configure active learning pipeline. Active learning will
+     * Parameters that configure active learning pipeline. Active learning will
      * label the data incrementally via several iterations. For every iteration,
      * it will select a batch of data based on the sampling strategy.
      * </pre>
@@ -4621,7 +4937,7 @@ public Builder clearActiveLearningConfig() {
      *
      *
      * <pre>
-     * Paramaters that configure active learning pipeline. Active learning will
+     * Parameters that configure active learning pipeline. Active learning will
      * label the data incrementally via several iterations. For every iteration,
      * it will select a batch of data based on the sampling strategy.
      * </pre>
@@ -4643,7 +4959,7 @@ public Builder clearActiveLearningConfig() {
      *
      *
      * <pre>
-     * Paramaters that configure active learning pipeline. Active learning will
+     * Parameters that configure active learning pipeline. Active learning will
      * label the data incrementally via several iterations. For every iteration,
      * it will select a batch of data based on the sampling strategy.
      * </pre>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobOrBuilder.java
index d14e83ae7..5e4ffea31 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobOrBuilder.java
@@ -692,7 +692,51 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * <pre>
-   * Paramaters that configure active learning pipeline. Active learning will
+   * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+   * DataLabelingJob will be secured by this key.
+   * Note: Annotations created in the DataLabelingJob are associated with
+   * the EncryptionSpec of the Dataset they are exported to.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  boolean hasEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+   * DataLabelingJob will be secured by this key.
+   * Note: Annotations created in the DataLabelingJob are associated with
+   * the EncryptionSpec of the Dataset they are exported to.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a DataLabelingJob. If set, this
+   * DataLabelingJob will be secured by this key.
+   * Note: Annotations created in the DataLabelingJob are associated with
+   * the EncryptionSpec of the Dataset they are exported to.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 20;</code>
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Parameters that configure active learning pipeline. Active learning will
    * label the data incrementally via several iterations. For every iteration,
    * it will select a batch of data based on the sampling strategy.
    * </pre>
@@ -706,7 +750,7 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * <pre>
-   * Paramaters that configure active learning pipeline. Active learning will
+   * Parameters that configure active learning pipeline. Active learning will
    * label the data incrementally via several iterations. For every iteration,
    * it will select a batch of data based on the sampling strategy.
    * </pre>
@@ -720,7 +764,7 @@ java.lang.String getAnnotationLabelsOrDefault(
    *
    *
    * <pre>
-   * Paramaters that configure active learning pipeline. Active learning will
+   * Parameters that configure active learning pipeline. Active learning will
    * label the data incrementally via several iterations. For every iteration,
    * it will select a batch of data based on the sampling strategy.
    * </pre>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobProto.java
index ab991290d..3fb48edbb 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DataLabelingJobProto.java
@@ -65,59 +65,62 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "rm.v1beta1\032\037google/api/field_behavior.pr"
           + "oto\032\031google/api/resource.proto\0326google/c"
           + "loud/aiplatform/v1beta1/accelerator_type"
-          + ".proto\032/google/cloud/aiplatform/v1beta1/"
-          + "job_state.proto\0325google/cloud/aiplatform"
-          + "/v1beta1/specialist_pool.proto\032\034google/p"
-          + "rotobuf/struct.proto\032\037google/protobuf/ti"
-          + "mestamp.proto\032\027google/rpc/status.proto\032\027"
-          + "google/type/money.proto\032\034google/api/anno"
-          + "tations.proto\"\256\010\n\017DataLabelingJob\022\021\n\004nam"
-          + "e\030\001 \001(\tB\003\340A\003\022\031\n\014display_name\030\002 \001(\tB\003\340A\002\022"
-          + ";\n\010datasets\030\003 \003(\tB)\340A\002\372A#\n!aiplatform.go"
-          + "ogleapis.com/Dataset\022a\n\021annotation_label"
-          + "s\030\014 \003(\0132F.google.cloud.aiplatform.v1beta"
-          + "1.DataLabelingJob.AnnotationLabelsEntry\022"
-          + "\032\n\rlabeler_count\030\004 \001(\005B\003\340A\002\022\034\n\017instructi"
-          + "on_uri\030\005 \001(\tB\003\340A\002\022\036\n\021inputs_schema_uri\030\006"
-          + " \001(\tB\003\340A\002\022+\n\006inputs\030\007 \001(\0132\026.google.proto"
-          + "buf.ValueB\003\340A\002\022=\n\005state\030\010 \001(\0162).google.c"
-          + "loud.aiplatform.v1beta1.JobStateB\003\340A\003\022\036\n"
-          + "\021labeling_progress\030\r \001(\005B\003\340A\003\022.\n\rcurrent"
-          + "_spend\030\016 \001(\0132\022.google.type.MoneyB\003\340A\003\0224\n"
-          + "\013create_time\030\t \001(\0132\032.google.protobuf.Tim"
-          + "estampB\003\340A\003\0224\n\013update_time\030\n \001(\0132\032.googl"
-          + "e.protobuf.TimestampB\003\340A\003\022&\n\005error\030\026 \001(\013"
-          + "2\022.google.rpc.StatusB\003\340A\003\022L\n\006labels\030\013 \003("
-          + "\0132<.google.cloud.aiplatform.v1beta1.Data"
-          + "LabelingJob.LabelsEntry\022\030\n\020specialist_po"
-          + "ols\030\020 \003(\t\022U\n\026active_learning_config\030\025 \001("
-          + "\01325.google.cloud.aiplatform.v1beta1.Acti"
-          + "veLearningConfig\0327\n\025AnnotationLabelsEntr"
-          + "y\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001\032-\n\013Lab"
-          + "elsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001"
-          + ":|\352Ay\n)aiplatform.googleapis.com/DataLab"
-          + "elingJob\022Lprojects/{project}/locations/{"
-          + "location}/dataLabelingJobs/{data_labelin"
-          + "g_job}\"\202\002\n\024ActiveLearningConfig\022\035\n\023max_d"
-          + "ata_item_count\030\001 \001(\003H\000\022\"\n\030max_data_item_"
-          + "percentage\030\002 \001(\005H\000\022D\n\rsample_config\030\003 \001("
-          + "\0132-.google.cloud.aiplatform.v1beta1.Samp"
-          + "leConfig\022H\n\017training_config\030\004 \001(\0132/.goog"
-          + "le.cloud.aiplatform.v1beta1.TrainingConf"
-          + "igB\027\n\025human_labeling_budget\"\275\002\n\014SampleCo"
-          + "nfig\022)\n\037initial_batch_sample_percentage\030"
-          + "\001 \001(\005H\000\022+\n!following_batch_sample_percen"
-          + "tage\030\003 \001(\005H\001\022U\n\017sample_strategy\030\005 \001(\0162<."
-          + "google.cloud.aiplatform.v1beta1.SampleCo"
-          + "nfig.SampleStrategy\"B\n\016SampleStrategy\022\037\n"
-          + "\033SAMPLE_STRATEGY_UNSPECIFIED\020\000\022\017\n\013UNCERT"
-          + "AINTY\020\001B\033\n\031initial_batch_sample_sizeB\035\n\033"
-          + "following_batch_sample_size\"6\n\016TrainingC"
-          + "onfig\022$\n\034timeout_training_milli_hours\030\001 "
-          + "\001(\003B\210\001\n#com.google.cloud.aiplatform.v1be"
-          + "ta1B\024DataLabelingJobProtoP\001ZIgoogle.gola"
-          + "ng.org/genproto/googleapis/cloud/aiplatf"
-          + "orm/v1beta1;aiplatformb\006proto3"
+          + ".proto\0325google/cloud/aiplatform/v1beta1/"
+          + "encryption_spec.proto\032/google/cloud/aipl"
+          + "atform/v1beta1/job_state.proto\0325google/c"
+          + "loud/aiplatform/v1beta1/specialist_pool."
+          + "proto\032\034google/protobuf/struct.proto\032\037goo"
+          + "gle/protobuf/timestamp.proto\032\027google/rpc"
+          + "/status.proto\032\027google/type/money.proto\032\034"
+          + "google/api/annotations.proto\"\370\010\n\017DataLab"
+          + "elingJob\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031\n\014display_n"
+          + "ame\030\002 \001(\tB\003\340A\002\022;\n\010datasets\030\003 \003(\tB)\340A\002\372A#"
+          + "\n!aiplatform.googleapis.com/Dataset\022a\n\021a"
+          + "nnotation_labels\030\014 \003(\0132F.google.cloud.ai"
+          + "platform.v1beta1.DataLabelingJob.Annotat"
+          + "ionLabelsEntry\022\032\n\rlabeler_count\030\004 \001(\005B\003\340"
+          + "A\002\022\034\n\017instruction_uri\030\005 \001(\tB\003\340A\002\022\036\n\021inpu"
+          + "ts_schema_uri\030\006 \001(\tB\003\340A\002\022+\n\006inputs\030\007 \001(\013"
+          + "2\026.google.protobuf.ValueB\003\340A\002\022=\n\005state\030\010"
+          + " \001(\0162).google.cloud.aiplatform.v1beta1.J"
+          + "obStateB\003\340A\003\022\036\n\021labeling_progress\030\r \001(\005B"
+          + "\003\340A\003\022.\n\rcurrent_spend\030\016 \001(\0132\022.google.typ"
+          + "e.MoneyB\003\340A\003\0224\n\013create_time\030\t \001(\0132\032.goog"
+          + "le.protobuf.TimestampB\003\340A\003\0224\n\013update_tim"
+          + "e\030\n \001(\0132\032.google.protobuf.TimestampB\003\340A\003"
+          + "\022&\n\005error\030\026 \001(\0132\022.google.rpc.StatusB\003\340A\003"
+          + "\022L\n\006labels\030\013 \003(\0132<.google.cloud.aiplatfo"
+          + "rm.v1beta1.DataLabelingJob.LabelsEntry\022\030"
+          + "\n\020specialist_pools\030\020 \003(\t\022H\n\017encryption_s"
+          + "pec\030\024 \001(\0132/.google.cloud.aiplatform.v1be"
+          + "ta1.EncryptionSpec\022U\n\026active_learning_co"
+          + "nfig\030\025 \001(\01325.google.cloud.aiplatform.v1b"
+          + "eta1.ActiveLearningConfig\0327\n\025AnnotationL"
+          + "abelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\002"
+          + "8\001\032-\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030"
+          + "\002 \001(\t:\0028\001:|\352Ay\n)aiplatform.googleapis.co"
+          + "m/DataLabelingJob\022Lprojects/{project}/lo"
+          + "cations/{location}/dataLabelingJobs/{dat"
+          + "a_labeling_job}\"\202\002\n\024ActiveLearningConfig"
+          + "\022\035\n\023max_data_item_count\030\001 \001(\003H\000\022\"\n\030max_d"
+          + "ata_item_percentage\030\002 \001(\005H\000\022D\n\rsample_co"
+          + "nfig\030\003 \001(\0132-.google.cloud.aiplatform.v1b"
+          + "eta1.SampleConfig\022H\n\017training_config\030\004 \001"
+          + "(\0132/.google.cloud.aiplatform.v1beta1.Tra"
+          + "iningConfigB\027\n\025human_labeling_budget\"\275\002\n"
+          + "\014SampleConfig\022)\n\037initial_batch_sample_pe"
+          + "rcentage\030\001 \001(\005H\000\022+\n!following_batch_samp"
+          + "le_percentage\030\003 \001(\005H\001\022U\n\017sample_strategy"
+          + "\030\005 \001(\0162<.google.cloud.aiplatform.v1beta1"
+          + ".SampleConfig.SampleStrategy\"B\n\016SampleSt"
+          + "rategy\022\037\n\033SAMPLE_STRATEGY_UNSPECIFIED\020\000\022"
+          + "\017\n\013UNCERTAINTY\020\001B\033\n\031initial_batch_sample"
+          + "_sizeB\035\n\033following_batch_sample_size\"6\n\016"
+          + "TrainingConfig\022$\n\034timeout_training_milli"
+          + "_hours\030\001 \001(\003B\210\001\n#com.google.cloud.aiplat"
+          + "form.v1beta1B\024DataLabelingJobProtoP\001ZIgo"
+          + "ogle.golang.org/genproto/googleapis/clou"
+          + "d/aiplatform/v1beta1;aiplatformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -126,6 +129,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               com.google.api.FieldBehaviorProto.getDescriptor(),
               com.google.api.ResourceProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.AcceleratorTypeProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.JobStateProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.SpecialistPoolProto.getDescriptor(),
               com.google.protobuf.StructProto.getDescriptor(),
@@ -156,6 +160,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Error",
               "Labels",
               "SpecialistPools",
+              "EncryptionSpec",
               "ActiveLearningConfig",
             });
     internal_static_google_cloud_aiplatform_v1beta1_DataLabelingJob_AnnotationLabelsEntry_descriptor =
@@ -220,6 +225,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     com.google.api.FieldBehaviorProto.getDescriptor();
     com.google.api.ResourceProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.AcceleratorTypeProto.getDescriptor();
+    com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.JobStateProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.SpecialistPoolProto.getDescriptor();
     com.google.protobuf.StructProto.getDescriptor();
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Dataset.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Dataset.java
index 01df6018b..839cb7af2 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Dataset.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Dataset.java
@@ -157,6 +157,23 @@ private Dataset(
                 metadata_ = subBuilder.buildPartial();
               }
 
+              break;
+            }
+          case 90:
+            {
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder subBuilder = null;
+              if (encryptionSpec_ != null) {
+                subBuilder = encryptionSpec_.toBuilder();
+              }
+              encryptionSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1beta1.EncryptionSpec.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(encryptionSpec_);
+                encryptionSpec_ = subBuilder.buildPartial();
+              }
+
               break;
             }
           default:
@@ -696,6 +713,57 @@ public java.lang.String getLabelsOrThrow(java.lang.String key) {
     return map.get(key);
   }
 
+  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 11;
+  private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+   * and all sub-resources of this Dataset will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasEncryptionSpec() {
+    return encryptionSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+   * and all sub-resources of this Dataset will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+    return encryptionSpec_ == null
+        ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+        : encryptionSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+   * and all sub-resources of this Dataset will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+    return getEncryptionSpec();
+  }
+
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -733,6 +801,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (metadata_ != null) {
       output.writeMessage(8, getMetadata());
     }
+    if (encryptionSpec_ != null) {
+      output.writeMessage(11, getEncryptionSpec());
+    }
     unknownFields.writeTo(output);
   }
 
@@ -773,6 +844,9 @@ public int getSerializedSize() {
     if (metadata_ != null) {
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(8, getMetadata());
     }
+    if (encryptionSpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(11, getEncryptionSpec());
+    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -806,6 +880,10 @@ public boolean equals(final java.lang.Object obj) {
     }
     if (!getEtag().equals(other.getEtag())) return false;
     if (!internalGetLabels().equals(other.internalGetLabels())) return false;
+    if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
+    if (hasEncryptionSpec()) {
+      if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
+    }
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -841,6 +919,10 @@ public int hashCode() {
       hash = (37 * hash) + LABELS_FIELD_NUMBER;
       hash = (53 * hash) + internalGetLabels().hashCode();
     }
+    if (hasEncryptionSpec()) {
+      hash = (37 * hash) + ENCRYPTION_SPEC_FIELD_NUMBER;
+      hash = (53 * hash) + getEncryptionSpec().hashCode();
+    }
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -1033,6 +1115,12 @@ public Builder clear() {
       etag_ = "";
 
       internalGetMutableLabels().clear();
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
       return this;
     }
 
@@ -1082,6 +1170,11 @@ public com.google.cloud.aiplatform.v1beta1.Dataset buildPartial() {
       result.etag_ = etag_;
       result.labels_ = internalGetLabels();
       result.labels_.makeImmutable();
+      if (encryptionSpecBuilder_ == null) {
+        result.encryptionSpec_ = encryptionSpec_;
+      } else {
+        result.encryptionSpec_ = encryptionSpecBuilder_.build();
+      }
       onBuilt();
       return result;
     }
@@ -1157,6 +1250,9 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.Dataset other) {
         onChanged();
       }
       internalGetMutableLabels().mergeFrom(other.internalGetLabels());
+      if (other.hasEncryptionSpec()) {
+        mergeEncryptionSpec(other.getEncryptionSpec());
+      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -2455,6 +2551,202 @@ public Builder putAllLabels(java.util.Map<java.lang.String, java.lang.String> va
       return this;
     }
 
+    private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        encryptionSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+     * and all sub-resources of this Dataset will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+     *
+     * @return Whether the encryptionSpec field is set.
+     */
+    public boolean hasEncryptionSpec() {
+      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+     * and all sub-resources of this Dataset will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+     *
+     * @return The encryptionSpec.
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      } else {
+        return encryptionSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+     * and all sub-resources of this Dataset will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+     */
+    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        encryptionSpec_ = value;
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+     * and all sub-resources of this Dataset will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+     */
+    public Builder setEncryptionSpec(
+        com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder builderForValue) {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+     * and all sub-resources of this Dataset will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+     */
+    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (encryptionSpec_ != null) {
+          encryptionSpec_ =
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.newBuilder(encryptionSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          encryptionSpec_ = value;
+        }
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+     * and all sub-resources of this Dataset will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+     */
+    public Builder clearEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+        onChanged();
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+     * and all sub-resources of this Dataset will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
+
+      onChanged();
+      return getEncryptionSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+     * and all sub-resources of this Dataset will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder
+        getEncryptionSpecOrBuilder() {
+      if (encryptionSpecBuilder_ != null) {
+        return encryptionSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+     * and all sub-resources of this Dataset will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        getEncryptionSpecFieldBuilder() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>(
+                getEncryptionSpec(), getParentForChildren(), isClean());
+        encryptionSpec_ = null;
+      }
+      return encryptionSpecBuilder_;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetOrBuilder.java
index f0196cae4..54bee561d 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetOrBuilder.java
@@ -351,4 +351,42 @@ public interface DatasetOrBuilder
    * <code>map&lt;string, string&gt; labels = 7;</code>
    */
   java.lang.String getLabelsOrThrow(java.lang.String key);
+
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+   * and all sub-resources of this Dataset will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  boolean hasEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+   * and all sub-resources of this Dataset will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Dataset. If set, this Dataset
+   * and all sub-resources of this Dataset will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 11;</code>
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetProto.java
index 8958051f7..bc261f981 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DatasetProto.java
@@ -59,36 +59,40 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
       "\n-google/cloud/aiplatform/v1beta1/datase"
           + "t.proto\022\037google.cloud.aiplatform.v1beta1"
           + "\032\037google/api/field_behavior.proto\032\031googl"
-          + "e/api/resource.proto\032(google/cloud/aipla"
-          + "tform/v1beta1/io.proto\032\034google/protobuf/"
-          + "struct.proto\032\037google/protobuf/timestamp."
-          + "proto\032\034google/api/annotations.proto\"\333\003\n\007"
-          + "Dataset\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031\n\014display_na"
-          + "me\030\002 \001(\tB\003\340A\002\022 \n\023metadata_schema_uri\030\003 \001"
-          + "(\tB\003\340A\002\022-\n\010metadata\030\010 \001(\0132\026.google.proto"
-          + "buf.ValueB\003\340A\002\0224\n\013create_time\030\004 \001(\0132\032.go"
-          + "ogle.protobuf.TimestampB\003\340A\003\0224\n\013update_t"
-          + "ime\030\005 \001(\0132\032.google.protobuf.TimestampB\003\340"
-          + "A\003\022\014\n\004etag\030\006 \001(\t\022D\n\006labels\030\007 \003(\01324.googl"
-          + "e.cloud.aiplatform.v1beta1.Dataset.Label"
-          + "sEntry\032-\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005va"
-          + "lue\030\002 \001(\t:\0028\001:b\352A_\n!aiplatform.googleapi"
-          + "s.com/Dataset\022:projects/{project}/locati"
-          + "ons/{location}/datasets/{dataset}\"\226\002\n\020Im"
-          + "portDataConfig\022@\n\ngcs_source\030\001 \001(\0132*.goo"
-          + "gle.cloud.aiplatform.v1beta1.GcsSourceH\000"
-          + "\022_\n\020data_item_labels\030\002 \003(\0132E.google.clou"
-          + "d.aiplatform.v1beta1.ImportDataConfig.Da"
-          + "taItemLabelsEntry\022\036\n\021import_schema_uri\030\004"
-          + " \001(\tB\003\340A\002\0325\n\023DataItemLabelsEntry\022\013\n\003key\030"
-          + "\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001B\010\n\006source\"\211\001\n\020E"
-          + "xportDataConfig\022J\n\017gcs_destination\030\001 \001(\013"
-          + "2/.google.cloud.aiplatform.v1beta1.GcsDe"
-          + "stinationH\000\022\032\n\022annotations_filter\030\002 \001(\tB"
-          + "\r\n\013destinationB\200\001\n#com.google.cloud.aipl"
-          + "atform.v1beta1B\014DatasetProtoP\001ZIgoogle.g"
-          + "olang.org/genproto/googleapis/cloud/aipl"
-          + "atform/v1beta1;aiplatformb\006proto3"
+          + "e/api/resource.proto\0325google/cloud/aipla"
+          + "tform/v1beta1/encryption_spec.proto\032(goo"
+          + "gle/cloud/aiplatform/v1beta1/io.proto\032\034g"
+          + "oogle/protobuf/struct.proto\032\037google/prot"
+          + "obuf/timestamp.proto\032\034google/api/annotat"
+          + "ions.proto\"\245\004\n\007Dataset\022\021\n\004name\030\001 \001(\tB\003\340A"
+          + "\003\022\031\n\014display_name\030\002 \001(\tB\003\340A\002\022 \n\023metadata"
+          + "_schema_uri\030\003 \001(\tB\003\340A\002\022-\n\010metadata\030\010 \001(\013"
+          + "2\026.google.protobuf.ValueB\003\340A\002\0224\n\013create_"
+          + "time\030\004 \001(\0132\032.google.protobuf.TimestampB\003"
+          + "\340A\003\0224\n\013update_time\030\005 \001(\0132\032.google.protob"
+          + "uf.TimestampB\003\340A\003\022\014\n\004etag\030\006 \001(\t\022D\n\006label"
+          + "s\030\007 \003(\01324.google.cloud.aiplatform.v1beta"
+          + "1.Dataset.LabelsEntry\022H\n\017encryption_spec"
+          + "\030\013 \001(\0132/.google.cloud.aiplatform.v1beta1"
+          + ".EncryptionSpec\032-\n\013LabelsEntry\022\013\n\003key\030\001 "
+          + "\001(\t\022\r\n\005value\030\002 \001(\t:\0028\001:b\352A_\n!aiplatform."
+          + "googleapis.com/Dataset\022:projects/{projec"
+          + "t}/locations/{location}/datasets/{datase"
+          + "t}\"\226\002\n\020ImportDataConfig\022@\n\ngcs_source\030\001 "
+          + "\001(\0132*.google.cloud.aiplatform.v1beta1.Gc"
+          + "sSourceH\000\022_\n\020data_item_labels\030\002 \003(\0132E.go"
+          + "ogle.cloud.aiplatform.v1beta1.ImportData"
+          + "Config.DataItemLabelsEntry\022\036\n\021import_sch"
+          + "ema_uri\030\004 \001(\tB\003\340A\002\0325\n\023DataItemLabelsEntr"
+          + "y\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001B\010\n\006sou"
+          + "rce\"\211\001\n\020ExportDataConfig\022J\n\017gcs_destinat"
+          + "ion\030\001 \001(\0132/.google.cloud.aiplatform.v1be"
+          + "ta1.GcsDestinationH\000\022\032\n\022annotations_filt"
+          + "er\030\002 \001(\tB\r\n\013destinationB\200\001\n#com.google.c"
+          + "loud.aiplatform.v1beta1B\014DatasetProtoP\001Z"
+          + "Igoogle.golang.org/genproto/googleapis/c"
+          + "loud/aiplatform/v1beta1;aiplatformb\006prot"
+          + "o3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -96,6 +100,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
             new com.google.protobuf.Descriptors.FileDescriptor[] {
               com.google.api.FieldBehaviorProto.getDescriptor(),
               com.google.api.ResourceProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.IoProto.getDescriptor(),
               com.google.protobuf.StructProto.getDescriptor(),
               com.google.protobuf.TimestampProto.getDescriptor(),
@@ -115,6 +120,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "UpdateTime",
               "Etag",
               "Labels",
+              "EncryptionSpec",
             });
     internal_static_google_cloud_aiplatform_v1beta1_Dataset_LabelsEntry_descriptor =
         internal_static_google_cloud_aiplatform_v1beta1_Dataset_descriptor.getNestedTypes().get(0);
@@ -158,6 +164,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
         descriptor, registry);
     com.google.api.FieldBehaviorProto.getDescriptor();
     com.google.api.ResourceProto.getDescriptor();
+    com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.IoProto.getDescriptor();
     com.google.protobuf.StructProto.getDescriptor();
     com.google.protobuf.TimestampProto.getDescriptor();
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModel.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModel.java
index b6068bca9..de3249d36 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModel.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModel.java
@@ -715,7 +715,7 @@ public com.google.protobuf.ByteString getServiceAccountBytes() {
    * <pre>
    * If true, the container of the DeployedModel instances will send `stderr`
    * and `stdout` streams to Stackdriver Logging.
-   * Only supported for custom-trained Models and AutoML Tables Models.
+   * Only supported for custom-trained Models and AutoML Tabular Models.
    * </pre>
    *
    * <code>bool enable_container_logging = 12;</code>
@@ -2664,7 +2664,7 @@ public Builder setServiceAccountBytes(com.google.protobuf.ByteString value) {
      * <pre>
      * If true, the container of the DeployedModel instances will send `stderr`
      * and `stdout` streams to Stackdriver Logging.
-     * Only supported for custom-trained Models and AutoML Tables Models.
+     * Only supported for custom-trained Models and AutoML Tabular Models.
      * </pre>
      *
      * <code>bool enable_container_logging = 12;</code>
@@ -2681,7 +2681,7 @@ public boolean getEnableContainerLogging() {
      * <pre>
      * If true, the container of the DeployedModel instances will send `stderr`
      * and `stdout` streams to Stackdriver Logging.
-     * Only supported for custom-trained Models and AutoML Tables Models.
+     * Only supported for custom-trained Models and AutoML Tabular Models.
      * </pre>
      *
      * <code>bool enable_container_logging = 12;</code>
@@ -2701,7 +2701,7 @@ public Builder setEnableContainerLogging(boolean value) {
      * <pre>
      * If true, the container of the DeployedModel instances will send `stderr`
      * and `stdout` streams to Stackdriver Logging.
-     * Only supported for custom-trained Models and AutoML Tables Models.
+     * Only supported for custom-trained Models and AutoML Tabular Models.
      * </pre>
      *
      * <code>bool enable_container_logging = 12;</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModelOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModelOrBuilder.java
index dc2507765..0410f13c2 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModelOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModelOrBuilder.java
@@ -317,7 +317,7 @@ public interface DeployedModelOrBuilder
    * <pre>
    * If true, the container of the DeployedModel instances will send `stderr`
    * and `stdout` streams to Stackdriver Logging.
-   * Only supported for custom-trained Models and AutoML Tables Models.
+   * Only supported for custom-trained Models and AutoML Tabular Models.
    * </pre>
    *
    * <code>bool enable_container_logging = 12;</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpec.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpec.java
index a7d7a5dc7..f1ca46c51 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpec.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpec.java
@@ -122,7 +122,7 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * <pre>
-   * Type of the boot disk (default is "pd-standard").
+   * Type of the boot disk (default is "pd-ssd").
    * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
    * "pd-standard" (Persistent Disk Hard Disk Drive).
    * </pre>
@@ -147,7 +147,7 @@ public java.lang.String getBootDiskType() {
    *
    *
    * <pre>
-   * Type of the boot disk (default is "pd-standard").
+   * Type of the boot disk (default is "pd-ssd").
    * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
    * "pd-standard" (Persistent Disk Hard Disk Drive).
    * </pre>
@@ -523,7 +523,7 @@ public Builder mergeFrom(
      *
      *
      * <pre>
-     * Type of the boot disk (default is "pd-standard").
+     * Type of the boot disk (default is "pd-ssd").
      * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
      * "pd-standard" (Persistent Disk Hard Disk Drive).
      * </pre>
@@ -547,7 +547,7 @@ public java.lang.String getBootDiskType() {
      *
      *
      * <pre>
-     * Type of the boot disk (default is "pd-standard").
+     * Type of the boot disk (default is "pd-ssd").
      * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
      * "pd-standard" (Persistent Disk Hard Disk Drive).
      * </pre>
@@ -571,7 +571,7 @@ public com.google.protobuf.ByteString getBootDiskTypeBytes() {
      *
      *
      * <pre>
-     * Type of the boot disk (default is "pd-standard").
+     * Type of the boot disk (default is "pd-ssd").
      * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
      * "pd-standard" (Persistent Disk Hard Disk Drive).
      * </pre>
@@ -594,7 +594,7 @@ public Builder setBootDiskType(java.lang.String value) {
      *
      *
      * <pre>
-     * Type of the boot disk (default is "pd-standard").
+     * Type of the boot disk (default is "pd-ssd").
      * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
      * "pd-standard" (Persistent Disk Hard Disk Drive).
      * </pre>
@@ -613,7 +613,7 @@ public Builder clearBootDiskType() {
      *
      *
      * <pre>
-     * Type of the boot disk (default is "pd-standard").
+     * Type of the boot disk (default is "pd-ssd").
      * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
      * "pd-standard" (Persistent Disk Hard Disk Drive).
      * </pre>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpecOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpecOrBuilder.java
index 54c1c5b64..288fd2baf 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpecOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpecOrBuilder.java
@@ -27,7 +27,7 @@ public interface DiskSpecOrBuilder
    *
    *
    * <pre>
-   * Type of the boot disk (default is "pd-standard").
+   * Type of the boot disk (default is "pd-ssd").
    * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
    * "pd-standard" (Persistent Disk Hard Disk Drive).
    * </pre>
@@ -41,7 +41,7 @@ public interface DiskSpecOrBuilder
    *
    *
    * <pre>
-   * Type of the boot disk (default is "pd-standard").
+   * Type of the boot disk (default is "pd-ssd").
    * Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
    * "pd-standard" (Persistent Disk Hard Disk Drive).
    * </pre>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpec.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpec.java
new file mode 100644
index 000000000..388bb0d27
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpec.java
@@ -0,0 +1,666 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1beta1/encryption_spec.proto
+
+package com.google.cloud.aiplatform.v1beta1;
+
+/**
+ *
+ *
+ * <pre>
+ * Represents a customer-managed encryption key spec that can be applied to
+ * a top-level resource.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1beta1.EncryptionSpec}
+ */
+public final class EncryptionSpec extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.EncryptionSpec)
+    EncryptionSpecOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use EncryptionSpec.newBuilder() to construct.
+  private EncryptionSpec(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private EncryptionSpec() {
+    kmsKeyName_ = "";
+  }
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new EncryptionSpec();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private EncryptionSpec(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              kmsKeyName_ = s;
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto
+        .internal_static_google_cloud_aiplatform_v1beta1_EncryptionSpec_descriptor;
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto
+        .internal_static_google_cloud_aiplatform_v1beta1_EncryptionSpec_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.class,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder.class);
+  }
+
+  public static final int KMS_KEY_NAME_FIELD_NUMBER = 1;
+  private volatile java.lang.Object kmsKeyName_;
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Cloud KMS resource identifier of the customer managed encryption key
+   * used to protect a resource. Has the form:
+   * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+   * The key needs to be in the same region as where the compute resource is
+   * created.
+   * </pre>
+   *
+   * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The kmsKeyName.
+   */
+  @java.lang.Override
+  public java.lang.String getKmsKeyName() {
+    java.lang.Object ref = kmsKeyName_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      kmsKeyName_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Cloud KMS resource identifier of the customer managed encryption key
+   * used to protect a resource. Has the form:
+   * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+   * The key needs to be in the same region as where the compute resource is
+   * created.
+   * </pre>
+   *
+   * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for kmsKeyName.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getKmsKeyNameBytes() {
+    java.lang.Object ref = kmsKeyName_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      kmsKeyName_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    if (!getKmsKeyNameBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, kmsKeyName_);
+    }
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    if (!getKmsKeyNameBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, kmsKeyName_);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1beta1.EncryptionSpec)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1beta1.EncryptionSpec other =
+        (com.google.cloud.aiplatform.v1beta1.EncryptionSpec) obj;
+
+    if (!getKmsKeyName().equals(other.getKmsKeyName())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    hash = (37 * hash) + KMS_KEY_NAME_FIELD_NUMBER;
+    hash = (53 * hash) + getKmsKeyName().hashCode();
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseFrom(byte[] data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(com.google.cloud.aiplatform.v1beta1.EncryptionSpec prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Represents a customer-managed encryption key spec that can be applied to
+   * a top-level resource.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1beta1.EncryptionSpec}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1beta1.EncryptionSpec)
+      com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto
+          .internal_static_google_cloud_aiplatform_v1beta1_EncryptionSpec_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto
+          .internal_static_google_cloud_aiplatform_v1beta1_EncryptionSpec_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.class,
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1beta1.EncryptionSpec.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      kmsKeyName_ = "";
+
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto
+          .internal_static_google_cloud_aiplatform_v1beta1_EncryptionSpec_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec build() {
+      com.google.cloud.aiplatform.v1beta1.EncryptionSpec result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec buildPartial() {
+      com.google.cloud.aiplatform.v1beta1.EncryptionSpec result =
+          new com.google.cloud.aiplatform.v1beta1.EncryptionSpec(this);
+      result.kmsKeyName_ = kmsKeyName_;
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1beta1.EncryptionSpec) {
+        return mergeFrom((com.google.cloud.aiplatform.v1beta1.EncryptionSpec) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.EncryptionSpec other) {
+      if (other == com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance())
+        return this;
+      if (!other.getKmsKeyName().isEmpty()) {
+        kmsKeyName_ = other.kmsKeyName_;
+        onChanged();
+      }
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1beta1.EncryptionSpec parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1beta1.EncryptionSpec) e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private java.lang.Object kmsKeyName_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Cloud KMS resource identifier of the customer managed encryption key
+     * used to protect a resource. Has the form:
+     * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+     * The key needs to be in the same region as where the compute resource is
+     * created.
+     * </pre>
+     *
+     * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The kmsKeyName.
+     */
+    public java.lang.String getKmsKeyName() {
+      java.lang.Object ref = kmsKeyName_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        kmsKeyName_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Cloud KMS resource identifier of the customer managed encryption key
+     * used to protect a resource. Has the form:
+     * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+     * The key needs to be in the same region as where the compute resource is
+     * created.
+     * </pre>
+     *
+     * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return The bytes for kmsKeyName.
+     */
+    public com.google.protobuf.ByteString getKmsKeyNameBytes() {
+      java.lang.Object ref = kmsKeyName_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        kmsKeyName_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Cloud KMS resource identifier of the customer managed encryption key
+     * used to protect a resource. Has the form:
+     * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+     * The key needs to be in the same region as where the compute resource is
+     * created.
+     * </pre>
+     *
+     * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The kmsKeyName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setKmsKeyName(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      kmsKeyName_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Cloud KMS resource identifier of the customer managed encryption key
+     * used to protect a resource. Has the form:
+     * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+     * The key needs to be in the same region as where the compute resource is
+     * created.
+     * </pre>
+     *
+     * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearKmsKeyName() {
+
+      kmsKeyName_ = getDefaultInstance().getKmsKeyName();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. The Cloud KMS resource identifier of the customer managed encryption key
+     * used to protect a resource. Has the form:
+     * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+     * The key needs to be in the same region as where the compute resource is
+     * created.
+     * </pre>
+     *
+     * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+     *
+     * @param value The bytes for kmsKeyName to set.
+     * @return This builder for chaining.
+     */
+    public Builder setKmsKeyNameBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      kmsKeyName_ = value;
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.EncryptionSpec)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.EncryptionSpec)
+  private static final com.google.cloud.aiplatform.v1beta1.EncryptionSpec DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1beta1.EncryptionSpec();
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.EncryptionSpec getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<EncryptionSpec> PARSER =
+      new com.google.protobuf.AbstractParser<EncryptionSpec>() {
+        @java.lang.Override
+        public EncryptionSpec parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new EncryptionSpec(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<EncryptionSpec> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<EncryptionSpec> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecOrBuilder.java
new file mode 100644
index 000000000..b5ce0eb31
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecOrBuilder.java
@@ -0,0 +1,58 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1beta1/encryption_spec.proto
+
+package com.google.cloud.aiplatform.v1beta1;
+
+public interface EncryptionSpecOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.EncryptionSpec)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Cloud KMS resource identifier of the customer managed encryption key
+   * used to protect a resource. Has the form:
+   * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+   * The key needs to be in the same region as where the compute resource is
+   * created.
+   * </pre>
+   *
+   * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The kmsKeyName.
+   */
+  java.lang.String getKmsKeyName();
+  /**
+   *
+   *
+   * <pre>
+   * Required. The Cloud KMS resource identifier of the customer managed encryption key
+   * used to protect a resource. Has the form:
+   * `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+   * The key needs to be in the same region as where the compute resource is
+   * created.
+   * </pre>
+   *
+   * <code>string kms_key_name = 1 [(.google.api.field_behavior) = REQUIRED];</code>
+   *
+   * @return The bytes for kmsKeyName.
+   */
+  com.google.protobuf.ByteString getKmsKeyNameBytes();
+}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecProto.java
new file mode 100644
index 000000000..097eddefb
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecProto.java
@@ -0,0 +1,78 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1beta1/encryption_spec.proto
+
+package com.google.cloud.aiplatform.v1beta1;
+
+public final class EncryptionSpecProto {
+  private EncryptionSpecProto() {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}
+
+  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
+    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
+  }
+
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1beta1_EncryptionSpec_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1beta1_EncryptionSpec_fieldAccessorTable;
+
+  public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+    return descriptor;
+  }
+
+  private static com.google.protobuf.Descriptors.FileDescriptor descriptor;
+
+  static {
+    java.lang.String[] descriptorData = {
+      "\n5google/cloud/aiplatform/v1beta1/encryp"
+          + "tion_spec.proto\022\037google.cloud.aiplatform"
+          + ".v1beta1\032\037google/api/field_behavior.prot"
+          + "o\032\034google/api/annotations.proto\"+\n\016Encry"
+          + "ptionSpec\022\031\n\014kms_key_name\030\001 \001(\tB\003\340A\002B\207\001\n"
+          + "#com.google.cloud.aiplatform.v1beta1B\023En"
+          + "cryptionSpecProtoP\001ZIgoogle.golang.org/g"
+          + "enproto/googleapis/cloud/aiplatform/v1be"
+          + "ta1;aiplatformb\006proto3"
+    };
+    descriptor =
+        com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
+            descriptorData,
+            new com.google.protobuf.Descriptors.FileDescriptor[] {
+              com.google.api.FieldBehaviorProto.getDescriptor(),
+              com.google.api.AnnotationsProto.getDescriptor(),
+            });
+    internal_static_google_cloud_aiplatform_v1beta1_EncryptionSpec_descriptor =
+        getDescriptor().getMessageTypes().get(0);
+    internal_static_google_cloud_aiplatform_v1beta1_EncryptionSpec_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1beta1_EncryptionSpec_descriptor,
+            new java.lang.String[] {
+              "KmsKeyName",
+            });
+    com.google.protobuf.ExtensionRegistry registry =
+        com.google.protobuf.ExtensionRegistry.newInstance();
+    registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
+        descriptor, registry);
+    com.google.api.FieldBehaviorProto.getDescriptor();
+    com.google.api.AnnotationsProto.getDescriptor();
+  }
+
+  // @@protoc_insertion_point(outer_class_scope)
+}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Endpoint.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Endpoint.java
index 157c5ff3c..9ee75e4a9 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Endpoint.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Endpoint.java
@@ -173,6 +173,23 @@ private Endpoint(
                 updateTime_ = subBuilder.buildPartial();
               }
 
+              break;
+            }
+          case 82:
+            {
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder subBuilder = null;
+              if (encryptionSpec_ != null) {
+                subBuilder = encryptionSpec_.toBuilder();
+              }
+              encryptionSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1beta1.EncryptionSpec.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(encryptionSpec_);
+                encryptionSpec_ = subBuilder.buildPartial();
+              }
+
               break;
             }
           default:
@@ -849,6 +866,60 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
     return getUpdateTime();
   }
 
+  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 10;
+  private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for an Endpoint. If set, this
+   * Endpoint and all sub-resources of this Endpoint will be secured by
+   * this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasEncryptionSpec() {
+    return encryptionSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for an Endpoint. If set, this
+   * Endpoint and all sub-resources of this Endpoint will be secured by
+   * this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+    return encryptionSpec_ == null
+        ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+        : encryptionSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for an Endpoint. If set, this
+   * Endpoint and all sub-resources of this Endpoint will be secured by
+   * this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+    return getEncryptionSpec();
+  }
+
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -888,6 +959,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (updateTime_ != null) {
       output.writeMessage(9, getUpdateTime());
     }
+    if (encryptionSpec_ != null) {
+      output.writeMessage(10, getEncryptionSpec());
+    }
     unknownFields.writeTo(output);
   }
 
@@ -938,6 +1012,9 @@ public int getSerializedSize() {
     if (updateTime_ != null) {
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(9, getUpdateTime());
     }
+    if (encryptionSpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(10, getEncryptionSpec());
+    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -969,6 +1046,10 @@ public boolean equals(final java.lang.Object obj) {
     if (hasUpdateTime()) {
       if (!getUpdateTime().equals(other.getUpdateTime())) return false;
     }
+    if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
+    if (hasEncryptionSpec()) {
+      if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
+    }
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -1008,6 +1089,10 @@ public int hashCode() {
       hash = (37 * hash) + UPDATE_TIME_FIELD_NUMBER;
       hash = (53 * hash) + getUpdateTime().hashCode();
     }
+    if (hasEncryptionSpec()) {
+      hash = (37 * hash) + ENCRYPTION_SPEC_FIELD_NUMBER;
+      hash = (53 * hash) + getEncryptionSpec().hashCode();
+    }
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -1208,6 +1293,12 @@ public Builder clear() {
         updateTime_ = null;
         updateTimeBuilder_ = null;
       }
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
       return this;
     }
 
@@ -1263,6 +1354,11 @@ public com.google.cloud.aiplatform.v1beta1.Endpoint buildPartial() {
       } else {
         result.updateTime_ = updateTimeBuilder_.build();
       }
+      if (encryptionSpecBuilder_ == null) {
+        result.encryptionSpec_ = encryptionSpec_;
+      } else {
+        result.encryptionSpec_ = encryptionSpecBuilder_.build();
+      }
       onBuilt();
       return result;
     }
@@ -1363,6 +1459,9 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.Endpoint other) {
       if (other.hasUpdateTime()) {
         mergeUpdateTime(other.getUpdateTime());
       }
+      if (other.hasEncryptionSpec()) {
+        mergeEncryptionSpec(other.getEncryptionSpec());
+      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -3046,6 +3145,211 @@ public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder() {
       return updateTimeBuilder_;
     }
 
+    private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        encryptionSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for an Endpoint. If set, this
+     * Endpoint and all sub-resources of this Endpoint will be secured by
+     * this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+     *
+     * @return Whether the encryptionSpec field is set.
+     */
+    public boolean hasEncryptionSpec() {
+      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for an Endpoint. If set, this
+     * Endpoint and all sub-resources of this Endpoint will be secured by
+     * this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+     *
+     * @return The encryptionSpec.
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      } else {
+        return encryptionSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for an Endpoint. If set, this
+     * Endpoint and all sub-resources of this Endpoint will be secured by
+     * this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+     */
+    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        encryptionSpec_ = value;
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for an Endpoint. If set, this
+     * Endpoint and all sub-resources of this Endpoint will be secured by
+     * this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+     */
+    public Builder setEncryptionSpec(
+        com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder builderForValue) {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for an Endpoint. If set, this
+     * Endpoint and all sub-resources of this Endpoint will be secured by
+     * this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+     */
+    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (encryptionSpec_ != null) {
+          encryptionSpec_ =
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.newBuilder(encryptionSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          encryptionSpec_ = value;
+        }
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for an Endpoint. If set, this
+     * Endpoint and all sub-resources of this Endpoint will be secured by
+     * this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+     */
+    public Builder clearEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+        onChanged();
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for an Endpoint. If set, this
+     * Endpoint and all sub-resources of this Endpoint will be secured by
+     * this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
+
+      onChanged();
+      return getEncryptionSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for an Endpoint. If set, this
+     * Endpoint and all sub-resources of this Endpoint will be secured by
+     * this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder
+        getEncryptionSpecOrBuilder() {
+      if (encryptionSpecBuilder_ != null) {
+        return encryptionSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for an Endpoint. If set, this
+     * Endpoint and all sub-resources of this Endpoint will be secured by
+     * this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        getEncryptionSpecFieldBuilder() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>(
+                getEncryptionSpec(), getParentForChildren(), isClean());
+        encryptionSpec_ = null;
+      }
+      return encryptionSpecBuilder_;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointOrBuilder.java
index d23033be3..83d69a594 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointOrBuilder.java
@@ -429,4 +429,45 @@ public interface EndpointOrBuilder
    * </code>
    */
   com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for an Endpoint. If set, this
+   * Endpoint and all sub-resources of this Endpoint will be secured by
+   * this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  boolean hasEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for an Endpoint. If set, this
+   * Endpoint and all sub-resources of this Endpoint will be secured by
+   * this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for an Endpoint. If set, this
+   * Endpoint and all sub-resources of this Endpoint will be secured by
+   * this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 10;</code>
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointProto.java
index 2b47ee4c4..47c9a8e84 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointProto.java
@@ -55,44 +55,47 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
       "\n.google/cloud/aiplatform/v1beta1/endpoi"
           + "nt.proto\022\037google.cloud.aiplatform.v1beta"
           + "1\032\037google/api/field_behavior.proto\032\031goog"
-          + "le/api/resource.proto\0321google/cloud/aipl"
-          + "atform/v1beta1/explanation.proto\0327google"
-          + "/cloud/aiplatform/v1beta1/machine_resour"
-          + "ces.proto\032\037google/protobuf/timestamp.pro"
-          + "to\032\034google/api/annotations.proto\"\373\004\n\010End"
-          + "point\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031\n\014display_name"
-          + "\030\002 \001(\tB\003\340A\002\022\023\n\013description\030\003 \001(\t\022L\n\017depl"
-          + "oyed_models\030\004 \003(\0132..google.cloud.aiplatf"
-          + "orm.v1beta1.DeployedModelB\003\340A\003\022R\n\rtraffi"
-          + "c_split\030\005 \003(\0132;.google.cloud.aiplatform."
-          + "v1beta1.Endpoint.TrafficSplitEntry\022\014\n\004et"
-          + "ag\030\006 \001(\t\022E\n\006labels\030\007 \003(\01325.google.cloud."
-          + "aiplatform.v1beta1.Endpoint.LabelsEntry\022"
-          + "4\n\013create_time\030\010 \001(\0132\032.google.protobuf.T"
-          + "imestampB\003\340A\003\0224\n\013update_time\030\t \001(\0132\032.goo"
-          + "gle.protobuf.TimestampB\003\340A\003\0323\n\021TrafficSp"
-          + "litEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\005:\0028\001"
-          + "\032-\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 "
-          + "\001(\t:\0028\001:e\352Ab\n\"aiplatform.googleapis.com/"
-          + "Endpoint\022<projects/{project}/locations/{"
-          + "location}/endpoints/{endpoint}\"\212\004\n\rDeplo"
-          + "yedModel\022R\n\023dedicated_resources\030\007 \001(\01323."
-          + "google.cloud.aiplatform.v1beta1.Dedicate"
-          + "dResourcesH\000\022R\n\023automatic_resources\030\010 \001("
-          + "\01323.google.cloud.aiplatform.v1beta1.Auto"
-          + "maticResourcesH\000\022\017\n\002id\030\001 \001(\tB\003\340A\003\0226\n\005mod"
-          + "el\030\002 \001(\tB\'\340A\002\372A!\n\037aiplatform.googleapis."
-          + "com/Model\022\024\n\014display_name\030\003 \001(\t\0224\n\013creat"
-          + "e_time\030\006 \001(\0132\032.google.protobuf.Timestamp"
-          + "B\003\340A\003\022J\n\020explanation_spec\030\t \001(\01320.google"
-          + ".cloud.aiplatform.v1beta1.ExplanationSpe"
-          + "c\022\027\n\017service_account\030\013 \001(\t\022 \n\030enable_con"
-          + "tainer_logging\030\014 \001(\010\022\035\n\025enable_access_lo"
-          + "gging\030\r \001(\010B\026\n\024prediction_resourcesB\201\001\n#"
-          + "com.google.cloud.aiplatform.v1beta1B\rEnd"
-          + "pointProtoP\001ZIgoogle.golang.org/genproto"
-          + "/googleapis/cloud/aiplatform/v1beta1;aip"
-          + "latformb\006proto3"
+          + "le/api/resource.proto\0325google/cloud/aipl"
+          + "atform/v1beta1/encryption_spec.proto\0321go"
+          + "ogle/cloud/aiplatform/v1beta1/explanatio"
+          + "n.proto\0327google/cloud/aiplatform/v1beta1"
+          + "/machine_resources.proto\032\037google/protobu"
+          + "f/timestamp.proto\032\034google/api/annotation"
+          + "s.proto\"\305\005\n\010Endpoint\022\021\n\004name\030\001 \001(\tB\003\340A\003\022"
+          + "\031\n\014display_name\030\002 \001(\tB\003\340A\002\022\023\n\013descriptio"
+          + "n\030\003 \001(\t\022L\n\017deployed_models\030\004 \003(\0132..googl"
+          + "e.cloud.aiplatform.v1beta1.DeployedModel"
+          + "B\003\340A\003\022R\n\rtraffic_split\030\005 \003(\0132;.google.cl"
+          + "oud.aiplatform.v1beta1.Endpoint.TrafficS"
+          + "plitEntry\022\014\n\004etag\030\006 \001(\t\022E\n\006labels\030\007 \003(\0132"
+          + "5.google.cloud.aiplatform.v1beta1.Endpoi"
+          + "nt.LabelsEntry\0224\n\013create_time\030\010 \001(\0132\032.go"
+          + "ogle.protobuf.TimestampB\003\340A\003\0224\n\013update_t"
+          + "ime\030\t \001(\0132\032.google.protobuf.TimestampB\003\340"
+          + "A\003\022H\n\017encryption_spec\030\n \001(\0132/.google.clo"
+          + "ud.aiplatform.v1beta1.EncryptionSpec\0323\n\021"
+          + "TrafficSplitEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030"
+          + "\002 \001(\005:\0028\001\032-\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n"
+          + "\005value\030\002 \001(\t:\0028\001:e\352Ab\n\"aiplatform.google"
+          + "apis.com/Endpoint\022<projects/{project}/lo"
+          + "cations/{location}/endpoints/{endpoint}\""
+          + "\212\004\n\rDeployedModel\022R\n\023dedicated_resources"
+          + "\030\007 \001(\01323.google.cloud.aiplatform.v1beta1"
+          + ".DedicatedResourcesH\000\022R\n\023automatic_resou"
+          + "rces\030\010 \001(\01323.google.cloud.aiplatform.v1b"
+          + "eta1.AutomaticResourcesH\000\022\017\n\002id\030\001 \001(\tB\003\340"
+          + "A\003\0226\n\005model\030\002 \001(\tB\'\340A\002\372A!\n\037aiplatform.go"
+          + "ogleapis.com/Model\022\024\n\014display_name\030\003 \001(\t"
+          + "\0224\n\013create_time\030\006 \001(\0132\032.google.protobuf."
+          + "TimestampB\003\340A\003\022J\n\020explanation_spec\030\t \001(\013"
+          + "20.google.cloud.aiplatform.v1beta1.Expla"
+          + "nationSpec\022\027\n\017service_account\030\013 \001(\t\022 \n\030e"
+          + "nable_container_logging\030\014 \001(\010\022\035\n\025enable_"
+          + "access_logging\030\r \001(\010B\026\n\024prediction_resou"
+          + "rcesB\201\001\n#com.google.cloud.aiplatform.v1b"
+          + "eta1B\rEndpointProtoP\001ZIgoogle.golang.org"
+          + "/genproto/googleapis/cloud/aiplatform/v1"
+          + "beta1;aiplatformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -100,6 +103,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
             new com.google.protobuf.Descriptors.FileDescriptor[] {
               com.google.api.FieldBehaviorProto.getDescriptor(),
               com.google.api.ResourceProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.ExplanationProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.MachineResourcesProto.getDescriptor(),
               com.google.protobuf.TimestampProto.getDescriptor(),
@@ -120,6 +124,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "Labels",
               "CreateTime",
               "UpdateTime",
+              "EncryptionSpec",
             });
     internal_static_google_cloud_aiplatform_v1beta1_Endpoint_TrafficSplitEntry_descriptor =
         internal_static_google_cloud_aiplatform_v1beta1_Endpoint_descriptor.getNestedTypes().get(0);
@@ -164,6 +169,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
         descriptor, registry);
     com.google.api.FieldBehaviorProto.getDescriptor();
     com.google.api.ResourceProto.getDescriptor();
+    com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.ExplanationProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.MachineResourcesProto.getDescriptor();
     com.google.protobuf.TimestampProto.getDescriptor();
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVar.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVar.java
index a9b24398d..1ace460eb 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVar.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVar.java
@@ -174,7 +174,7 @@ public com.google.protobuf.ByteString getNameBytes() {
    *
    *
    * <pre>
-   * Variables that reference a $(VAR_NAME) are expanded
+   * Required. Variables that reference a $(VAR_NAME) are expanded
    * using the previous defined environment variables in the container and
    * any service environment variables. If a variable cannot be resolved,
    * the reference in the input string will be unchanged. The $(VAR_NAME)
@@ -183,7 +183,7 @@ public com.google.protobuf.ByteString getNameBytes() {
    * exists or not.
    * </pre>
    *
-   * <code>string value = 2;</code>
+   * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
    *
    * @return The value.
    */
@@ -203,7 +203,7 @@ public java.lang.String getValue() {
    *
    *
    * <pre>
-   * Variables that reference a $(VAR_NAME) are expanded
+   * Required. Variables that reference a $(VAR_NAME) are expanded
    * using the previous defined environment variables in the container and
    * any service environment variables. If a variable cannot be resolved,
    * the reference in the input string will be unchanged. The $(VAR_NAME)
@@ -212,7 +212,7 @@ public java.lang.String getValue() {
    * exists or not.
    * </pre>
    *
-   * <code>string value = 2;</code>
+   * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
    *
    * @return The bytes for value.
    */
@@ -672,7 +672,7 @@ public Builder setNameBytes(com.google.protobuf.ByteString value) {
      *
      *
      * <pre>
-     * Variables that reference a $(VAR_NAME) are expanded
+     * Required. Variables that reference a $(VAR_NAME) are expanded
      * using the previous defined environment variables in the container and
      * any service environment variables. If a variable cannot be resolved,
      * the reference in the input string will be unchanged. The $(VAR_NAME)
@@ -681,7 +681,7 @@ public Builder setNameBytes(com.google.protobuf.ByteString value) {
      * exists or not.
      * </pre>
      *
-     * <code>string value = 2;</code>
+     * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
      *
      * @return The value.
      */
@@ -700,7 +700,7 @@ public java.lang.String getValue() {
      *
      *
      * <pre>
-     * Variables that reference a $(VAR_NAME) are expanded
+     * Required. Variables that reference a $(VAR_NAME) are expanded
      * using the previous defined environment variables in the container and
      * any service environment variables. If a variable cannot be resolved,
      * the reference in the input string will be unchanged. The $(VAR_NAME)
@@ -709,7 +709,7 @@ public java.lang.String getValue() {
      * exists or not.
      * </pre>
      *
-     * <code>string value = 2;</code>
+     * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
      *
      * @return The bytes for value.
      */
@@ -728,7 +728,7 @@ public com.google.protobuf.ByteString getValueBytes() {
      *
      *
      * <pre>
-     * Variables that reference a $(VAR_NAME) are expanded
+     * Required. Variables that reference a $(VAR_NAME) are expanded
      * using the previous defined environment variables in the container and
      * any service environment variables. If a variable cannot be resolved,
      * the reference in the input string will be unchanged. The $(VAR_NAME)
@@ -737,7 +737,7 @@ public com.google.protobuf.ByteString getValueBytes() {
      * exists or not.
      * </pre>
      *
-     * <code>string value = 2;</code>
+     * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
      *
      * @param value The value to set.
      * @return This builder for chaining.
@@ -755,7 +755,7 @@ public Builder setValue(java.lang.String value) {
      *
      *
      * <pre>
-     * Variables that reference a $(VAR_NAME) are expanded
+     * Required. Variables that reference a $(VAR_NAME) are expanded
      * using the previous defined environment variables in the container and
      * any service environment variables. If a variable cannot be resolved,
      * the reference in the input string will be unchanged. The $(VAR_NAME)
@@ -764,7 +764,7 @@ public Builder setValue(java.lang.String value) {
      * exists or not.
      * </pre>
      *
-     * <code>string value = 2;</code>
+     * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
      *
      * @return This builder for chaining.
      */
@@ -778,7 +778,7 @@ public Builder clearValue() {
      *
      *
      * <pre>
-     * Variables that reference a $(VAR_NAME) are expanded
+     * Required. Variables that reference a $(VAR_NAME) are expanded
      * using the previous defined environment variables in the container and
      * any service environment variables. If a variable cannot be resolved,
      * the reference in the input string will be unchanged. The $(VAR_NAME)
@@ -787,7 +787,7 @@ public Builder clearValue() {
      * exists or not.
      * </pre>
      *
-     * <code>string value = 2;</code>
+     * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
      *
      * @param value The bytes for value to set.
      * @return This builder for chaining.
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVarOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVarOrBuilder.java
index e160feabf..2317b8c6d 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVarOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVarOrBuilder.java
@@ -52,7 +52,7 @@ public interface EnvVarOrBuilder
    *
    *
    * <pre>
-   * Variables that reference a $(VAR_NAME) are expanded
+   * Required. Variables that reference a $(VAR_NAME) are expanded
    * using the previous defined environment variables in the container and
    * any service environment variables. If a variable cannot be resolved,
    * the reference in the input string will be unchanged. The $(VAR_NAME)
@@ -61,7 +61,7 @@ public interface EnvVarOrBuilder
    * exists or not.
    * </pre>
    *
-   * <code>string value = 2;</code>
+   * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
    *
    * @return The value.
    */
@@ -70,7 +70,7 @@ public interface EnvVarOrBuilder
    *
    *
    * <pre>
-   * Variables that reference a $(VAR_NAME) are expanded
+   * Required. Variables that reference a $(VAR_NAME) are expanded
    * using the previous defined environment variables in the container and
    * any service environment variables. If a variable cannot be resolved,
    * the reference in the input string will be unchanged. The $(VAR_NAME)
@@ -79,7 +79,7 @@ public interface EnvVarOrBuilder
    * exists or not.
    * </pre>
    *
-   * <code>string value = 2;</code>
+   * <code>string value = 2 [(.google.api.field_behavior) = REQUIRED];</code>
    *
    * @return The bytes for value.
    */
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVarProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVarProto.java
index ca406038d..9a6720956 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVarProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EnvVarProto.java
@@ -43,12 +43,12 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
       "\n-google/cloud/aiplatform/v1beta1/env_va"
           + "r.proto\022\037google.cloud.aiplatform.v1beta1"
           + "\032\037google/api/field_behavior.proto\032\034googl"
-          + "e/api/annotations.proto\"*\n\006EnvVar\022\021\n\004nam"
-          + "e\030\001 \001(\tB\003\340A\002\022\r\n\005value\030\002 \001(\tB\177\n#com.googl"
-          + "e.cloud.aiplatform.v1beta1B\013EnvVarProtoP"
-          + "\001ZIgoogle.golang.org/genproto/googleapis"
-          + "/cloud/aiplatform/v1beta1;aiplatformb\006pr"
-          + "oto3"
+          + "e/api/annotations.proto\"/\n\006EnvVar\022\021\n\004nam"
+          + "e\030\001 \001(\tB\003\340A\002\022\022\n\005value\030\002 \001(\tB\003\340A\002B\177\n#com."
+          + "google.cloud.aiplatform.v1beta1B\013EnvVarP"
+          + "rotoP\001ZIgoogle.golang.org/genproto/googl"
+          + "eapis/cloud/aiplatform/v1beta1;aiplatfor"
+          + "mb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequest.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequest.java
index 4c06cea68..f0985dbd5 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequest.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequest.java
@@ -110,6 +110,23 @@ private ExplainRequest(
                 parameters_ = subBuilder.buildPartial();
               }
 
+              break;
+            }
+          case 42:
+            {
+              com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.Builder subBuilder = null;
+              if (explanationSpecOverride_ != null) {
+                subBuilder = explanationSpecOverride_.toBuilder();
+              }
+              explanationSpecOverride_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(explanationSpecOverride_);
+                explanationSpecOverride_ = subBuilder.buildPartial();
+              }
+
               break;
             }
           default:
@@ -374,6 +391,79 @@ public com.google.protobuf.ValueOrBuilder getParametersOrBuilder() {
     return getParameters();
   }
 
+  public static final int EXPLANATION_SPEC_OVERRIDE_FIELD_NUMBER = 5;
+  private com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanationSpecOverride_;
+  /**
+   *
+   *
+   * <pre>
+   * If specified, overrides the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+   * Can be used for explaining prediction results with different
+   * configurations, such as:
+   *  - Explaining top-5 predictions results as opposed to top-1;
+   *  - Increasing path count or step count of the attribution methods to reduce
+   *    approximate errors;
+   *  - Using different baselines for explaining the prediction results.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+   * </code>
+   *
+   * @return Whether the explanationSpecOverride field is set.
+   */
+  @java.lang.Override
+  public boolean hasExplanationSpecOverride() {
+    return explanationSpecOverride_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * If specified, overrides the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+   * Can be used for explaining prediction results with different
+   * configurations, such as:
+   *  - Explaining top-5 predictions results as opposed to top-1;
+   *  - Increasing path count or step count of the attribution methods to reduce
+   *    approximate errors;
+   *  - Using different baselines for explaining the prediction results.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+   * </code>
+   *
+   * @return The explanationSpecOverride.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride getExplanationSpecOverride() {
+    return explanationSpecOverride_ == null
+        ? com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.getDefaultInstance()
+        : explanationSpecOverride_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * If specified, overrides the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+   * Can be used for explaining prediction results with different
+   * configurations, such as:
+   *  - Explaining top-5 predictions results as opposed to top-1;
+   *  - Increasing path count or step count of the attribution methods to reduce
+   *    approximate errors;
+   *  - Using different baselines for explaining the prediction results.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverrideOrBuilder
+      getExplanationSpecOverrideOrBuilder() {
+    return getExplanationSpecOverride();
+  }
+
   public static final int DEPLOYED_MODEL_ID_FIELD_NUMBER = 3;
   private volatile java.lang.Object deployedModelId_;
   /**
@@ -451,6 +541,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (parameters_ != null) {
       output.writeMessage(4, getParameters());
     }
+    if (explanationSpecOverride_ != null) {
+      output.writeMessage(5, getExplanationSpecOverride());
+    }
     unknownFields.writeTo(output);
   }
 
@@ -472,6 +565,10 @@ public int getSerializedSize() {
     if (parameters_ != null) {
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, getParameters());
     }
+    if (explanationSpecOverride_ != null) {
+      size +=
+          com.google.protobuf.CodedOutputStream.computeMessageSize(5, getExplanationSpecOverride());
+    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -494,6 +591,10 @@ public boolean equals(final java.lang.Object obj) {
     if (hasParameters()) {
       if (!getParameters().equals(other.getParameters())) return false;
     }
+    if (hasExplanationSpecOverride() != other.hasExplanationSpecOverride()) return false;
+    if (hasExplanationSpecOverride()) {
+      if (!getExplanationSpecOverride().equals(other.getExplanationSpecOverride())) return false;
+    }
     if (!getDeployedModelId().equals(other.getDeployedModelId())) return false;
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
@@ -516,6 +617,10 @@ public int hashCode() {
       hash = (37 * hash) + PARAMETERS_FIELD_NUMBER;
       hash = (53 * hash) + getParameters().hashCode();
     }
+    if (hasExplanationSpecOverride()) {
+      hash = (37 * hash) + EXPLANATION_SPEC_OVERRIDE_FIELD_NUMBER;
+      hash = (53 * hash) + getExplanationSpecOverride().hashCode();
+    }
     hash = (37 * hash) + DEPLOYED_MODEL_ID_FIELD_NUMBER;
     hash = (53 * hash) + getDeployedModelId().hashCode();
     hash = (29 * hash) + unknownFields.hashCode();
@@ -679,6 +784,12 @@ public Builder clear() {
         parameters_ = null;
         parametersBuilder_ = null;
       }
+      if (explanationSpecOverrideBuilder_ == null) {
+        explanationSpecOverride_ = null;
+      } else {
+        explanationSpecOverride_ = null;
+        explanationSpecOverrideBuilder_ = null;
+      }
       deployedModelId_ = "";
 
       return this;
@@ -724,6 +835,11 @@ public com.google.cloud.aiplatform.v1beta1.ExplainRequest buildPartial() {
       } else {
         result.parameters_ = parametersBuilder_.build();
       }
+      if (explanationSpecOverrideBuilder_ == null) {
+        result.explanationSpecOverride_ = explanationSpecOverride_;
+      } else {
+        result.explanationSpecOverride_ = explanationSpecOverrideBuilder_.build();
+      }
       result.deployedModelId_ = deployedModelId_;
       onBuilt();
       return result;
@@ -809,6 +925,9 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.ExplainRequest othe
       if (other.hasParameters()) {
         mergeParameters(other.getParameters());
       }
+      if (other.hasExplanationSpecOverride()) {
+        mergeExplanationSpecOverride(other.getExplanationSpecOverride());
+      }
       if (!other.getDeployedModelId().isEmpty()) {
         deployedModelId_ = other.deployedModelId_;
         onChanged();
@@ -1701,6 +1820,270 @@ public com.google.protobuf.ValueOrBuilder getParametersOrBuilder() {
       return parametersBuilder_;
     }
 
+    private com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanationSpecOverride_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride,
+            com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.Builder,
+            com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverrideOrBuilder>
+        explanationSpecOverrideBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * If specified, overrides the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+     * Can be used for explaining prediction results with different
+     * configurations, such as:
+     *  - Explaining top-5 predictions results as opposed to top-1;
+     *  - Increasing path count or step count of the attribution methods to reduce
+     *    approximate errors;
+     *  - Using different baselines for explaining the prediction results.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+     * </code>
+     *
+     * @return Whether the explanationSpecOverride field is set.
+     */
+    public boolean hasExplanationSpecOverride() {
+      return explanationSpecOverrideBuilder_ != null || explanationSpecOverride_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * If specified, overrides the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+     * Can be used for explaining prediction results with different
+     * configurations, such as:
+     *  - Explaining top-5 predictions results as opposed to top-1;
+     *  - Increasing path count or step count of the attribution methods to reduce
+     *    approximate errors;
+     *  - Using different baselines for explaining the prediction results.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+     * </code>
+     *
+     * @return The explanationSpecOverride.
+     */
+    public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride
+        getExplanationSpecOverride() {
+      if (explanationSpecOverrideBuilder_ == null) {
+        return explanationSpecOverride_ == null
+            ? com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.getDefaultInstance()
+            : explanationSpecOverride_;
+      } else {
+        return explanationSpecOverrideBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * If specified, overrides the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+     * Can be used for explaining prediction results with different
+     * configurations, such as:
+     *  - Explaining top-5 predictions results as opposed to top-1;
+     *  - Increasing path count or step count of the attribution methods to reduce
+     *    approximate errors;
+     *  - Using different baselines for explaining the prediction results.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+     * </code>
+     */
+    public Builder setExplanationSpecOverride(
+        com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride value) {
+      if (explanationSpecOverrideBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        explanationSpecOverride_ = value;
+        onChanged();
+      } else {
+        explanationSpecOverrideBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * If specified, overrides the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+     * Can be used for explaining prediction results with different
+     * configurations, such as:
+     *  - Explaining top-5 predictions results as opposed to top-1;
+     *  - Increasing path count or step count of the attribution methods to reduce
+     *    approximate errors;
+     *  - Using different baselines for explaining the prediction results.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+     * </code>
+     */
+    public Builder setExplanationSpecOverride(
+        com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.Builder builderForValue) {
+      if (explanationSpecOverrideBuilder_ == null) {
+        explanationSpecOverride_ = builderForValue.build();
+        onChanged();
+      } else {
+        explanationSpecOverrideBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * If specified, overrides the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+     * Can be used for explaining prediction results with different
+     * configurations, such as:
+     *  - Explaining top-5 predictions results as opposed to top-1;
+     *  - Increasing path count or step count of the attribution methods to reduce
+     *    approximate errors;
+     *  - Using different baselines for explaining the prediction results.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+     * </code>
+     */
+    public Builder mergeExplanationSpecOverride(
+        com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride value) {
+      if (explanationSpecOverrideBuilder_ == null) {
+        if (explanationSpecOverride_ != null) {
+          explanationSpecOverride_ =
+              com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.newBuilder(
+                      explanationSpecOverride_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          explanationSpecOverride_ = value;
+        }
+        onChanged();
+      } else {
+        explanationSpecOverrideBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * If specified, overrides the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+     * Can be used for explaining prediction results with different
+     * configurations, such as:
+     *  - Explaining top-5 predictions results as opposed to top-1;
+     *  - Increasing path count or step count of the attribution methods to reduce
+     *    approximate errors;
+     *  - Using different baselines for explaining the prediction results.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+     * </code>
+     */
+    public Builder clearExplanationSpecOverride() {
+      if (explanationSpecOverrideBuilder_ == null) {
+        explanationSpecOverride_ = null;
+        onChanged();
+      } else {
+        explanationSpecOverride_ = null;
+        explanationSpecOverrideBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * If specified, overrides the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+     * Can be used for explaining prediction results with different
+     * configurations, such as:
+     *  - Explaining top-5 predictions results as opposed to top-1;
+     *  - Increasing path count or step count of the attribution methods to reduce
+     *    approximate errors;
+     *  - Using different baselines for explaining the prediction results.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.Builder
+        getExplanationSpecOverrideBuilder() {
+
+      onChanged();
+      return getExplanationSpecOverrideFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * If specified, overrides the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+     * Can be used for explaining prediction results with different
+     * configurations, such as:
+     *  - Explaining top-5 predictions results as opposed to top-1;
+     *  - Increasing path count or step count of the attribution methods to reduce
+     *    approximate errors;
+     *  - Using different baselines for explaining the prediction results.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverrideOrBuilder
+        getExplanationSpecOverrideOrBuilder() {
+      if (explanationSpecOverrideBuilder_ != null) {
+        return explanationSpecOverrideBuilder_.getMessageOrBuilder();
+      } else {
+        return explanationSpecOverride_ == null
+            ? com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.getDefaultInstance()
+            : explanationSpecOverride_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * If specified, overrides the
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+     * Can be used for explaining prediction results with different
+     * configurations, such as:
+     *  - Explaining top-5 predictions results as opposed to top-1;
+     *  - Increasing path count or step count of the attribution methods to reduce
+     *    approximate errors;
+     *  - Using different baselines for explaining the prediction results.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+     * </code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride,
+            com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.Builder,
+            com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverrideOrBuilder>
+        getExplanationSpecOverrideFieldBuilder() {
+      if (explanationSpecOverrideBuilder_ == null) {
+        explanationSpecOverrideBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride,
+                com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride.Builder,
+                com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverrideOrBuilder>(
+                getExplanationSpecOverride(), getParentForChildren(), isClean());
+        explanationSpecOverride_ = null;
+      }
+      return explanationSpecOverrideBuilder_;
+    }
+
     private java.lang.Object deployedModelId_ = "";
     /**
      *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder.java
index 49654405e..05f8740af 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplainRequestOrBuilder.java
@@ -196,6 +196,66 @@ public interface ExplainRequestOrBuilder
    */
   com.google.protobuf.ValueOrBuilder getParametersOrBuilder();
 
+  /**
+   *
+   *
+   * <pre>
+   * If specified, overrides the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+   * Can be used for explaining prediction results with different
+   * configurations, such as:
+   *  - Explaining top-5 predictions results as opposed to top-1;
+   *  - Increasing path count or step count of the attribution methods to reduce
+   *    approximate errors;
+   *  - Using different baselines for explaining the prediction results.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+   * </code>
+   *
+   * @return Whether the explanationSpecOverride field is set.
+   */
+  boolean hasExplanationSpecOverride();
+  /**
+   *
+   *
+   * <pre>
+   * If specified, overrides the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+   * Can be used for explaining prediction results with different
+   * configurations, such as:
+   *  - Explaining top-5 predictions results as opposed to top-1;
+   *  - Increasing path count or step count of the attribution methods to reduce
+   *    approximate errors;
+   *  - Using different baselines for explaining the prediction results.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+   * </code>
+   *
+   * @return The explanationSpecOverride.
+   */
+  com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride getExplanationSpecOverride();
+  /**
+   *
+   *
+   * <pre>
+   * If specified, overrides the
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+   * Can be used for explaining prediction results with different
+   * configurations, such as:
+   *  - Explaining top-5 predictions results as opposed to top-1;
+   *  - Increasing path count or step count of the attribution methods to reduce
+   *    approximate errors;
+   *  - Using different baselines for explaining the prediction results.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverrideOrBuilder
+      getExplanationSpecOverrideOrBuilder();
+
   /**
    *
    *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadata.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadata.java
index fa4e9660d..511c22b5e 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadata.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadata.java
@@ -10318,8 +10318,8 @@ public int getInputsCount() {
    * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
    * of the empty feature is chosen by AI Platform.
    * For AI Platform provided Tensorflow images, the key can be any friendly
-   * name of the feature . Once specified, [
-   * featureAttributions][Attribution.feature_attributions] will be keyed by
+   * name of the feature. Once specified,
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
    * this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -10354,8 +10354,8 @@ public boolean containsInputs(java.lang.String key) {
    * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
    * of the empty feature is chosen by AI Platform.
    * For AI Platform provided Tensorflow images, the key can be any friendly
-   * name of the feature . Once specified, [
-   * featureAttributions][Attribution.feature_attributions] will be keyed by
+   * name of the feature. Once specified,
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
    * this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -10381,8 +10381,8 @@ public boolean containsInputs(java.lang.String key) {
    * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
    * of the empty feature is chosen by AI Platform.
    * For AI Platform provided Tensorflow images, the key can be any friendly
-   * name of the feature . Once specified, [
-   * featureAttributions][Attribution.feature_attributions] will be keyed by
+   * name of the feature. Once specified,
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
    * this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -10414,8 +10414,8 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata get
    * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
    * of the empty feature is chosen by AI Platform.
    * For AI Platform provided Tensorflow images, the key can be any friendly
-   * name of the feature . Once specified, [
-   * featureAttributions][Attribution.feature_attributions] will be keyed by
+   * name of the feature. Once specified,
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
    * this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -11093,8 +11093,8 @@ public int getInputsCount() {
      * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
      * of the empty feature is chosen by AI Platform.
      * For AI Platform provided Tensorflow images, the key can be any friendly
-     * name of the feature . Once specified, [
-     * featureAttributions][Attribution.feature_attributions] will be keyed by
+     * name of the feature. Once specified,
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
      * this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -11129,8 +11129,8 @@ public boolean containsInputs(java.lang.String key) {
      * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
      * of the empty feature is chosen by AI Platform.
      * For AI Platform provided Tensorflow images, the key can be any friendly
-     * name of the feature . Once specified, [
-     * featureAttributions][Attribution.feature_attributions] will be keyed by
+     * name of the feature. Once specified,
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
      * this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -11156,8 +11156,8 @@ public boolean containsInputs(java.lang.String key) {
      * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
      * of the empty feature is chosen by AI Platform.
      * For AI Platform provided Tensorflow images, the key can be any friendly
-     * name of the feature . Once specified, [
-     * featureAttributions][Attribution.feature_attributions] will be keyed by
+     * name of the feature. Once specified,
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
      * this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -11190,8 +11190,8 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata get
      * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
      * of the empty feature is chosen by AI Platform.
      * For AI Platform provided Tensorflow images, the key can be any friendly
-     * name of the feature . Once specified, [
-     * featureAttributions][Attribution.feature_attributions] will be keyed by
+     * name of the feature. Once specified,
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
      * this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -11231,8 +11231,8 @@ public Builder clearInputs() {
      * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
      * of the empty feature is chosen by AI Platform.
      * For AI Platform provided Tensorflow images, the key can be any friendly
-     * name of the feature . Once specified, [
-     * featureAttributions][Attribution.feature_attributions] will be keyed by
+     * name of the feature. Once specified,
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
      * this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -11266,8 +11266,8 @@ public Builder removeInputs(java.lang.String key) {
      * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
      * of the empty feature is chosen by AI Platform.
      * For AI Platform provided Tensorflow images, the key can be any friendly
-     * name of the feature . Once specified, [
-     * featureAttributions][Attribution.feature_attributions] will be keyed by
+     * name of the feature. Once specified,
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
      * this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -11299,8 +11299,8 @@ public Builder putInputs(
      * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
      * of the empty feature is chosen by AI Platform.
      * For AI Platform provided Tensorflow images, the key can be any friendly
-     * name of the feature . Once specified, [
-     * featureAttributions][Attribution.feature_attributions] will be keyed by
+     * name of the feature. Once specified,
+     * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
      * this key (if not grouped with another feature).
      * For custom images, the key must match with the key in
      * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOrBuilder.java
index fc2ca5493..e543a0496 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOrBuilder.java
@@ -33,8 +33,8 @@ public interface ExplanationMetadataOrBuilder
    * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
    * of the empty feature is chosen by AI Platform.
    * For AI Platform provided Tensorflow images, the key can be any friendly
-   * name of the feature . Once specified, [
-   * featureAttributions][Attribution.feature_attributions] will be keyed by
+   * name of the feature. Once specified,
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
    * this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -55,8 +55,8 @@ public interface ExplanationMetadataOrBuilder
    * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
    * of the empty feature is chosen by AI Platform.
    * For AI Platform provided Tensorflow images, the key can be any friendly
-   * name of the feature . Once specified, [
-   * featureAttributions][Attribution.feature_attributions] will be keyed by
+   * name of the feature. Once specified,
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
    * this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -82,8 +82,8 @@ public interface ExplanationMetadataOrBuilder
    * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
    * of the empty feature is chosen by AI Platform.
    * For AI Platform provided Tensorflow images, the key can be any friendly
-   * name of the feature . Once specified, [
-   * featureAttributions][Attribution.feature_attributions] will be keyed by
+   * name of the feature. Once specified,
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
    * this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -106,8 +106,8 @@ public interface ExplanationMetadataOrBuilder
    * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
    * of the empty feature is chosen by AI Platform.
    * For AI Platform provided Tensorflow images, the key can be any friendly
-   * name of the feature . Once specified, [
-   * featureAttributions][Attribution.feature_attributions] will be keyed by
+   * name of the feature. Once specified,
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
    * this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
@@ -130,8 +130,8 @@ com.google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata getInputsO
    * name specified as the key in [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs]. The baseline
    * of the empty feature is chosen by AI Platform.
    * For AI Platform provided Tensorflow images, the key can be any friendly
-   * name of the feature . Once specified, [
-   * featureAttributions][Attribution.feature_attributions] will be keyed by
+   * name of the feature. Once specified,
+   * [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
    * this key (if not grouped with another feature).
    * For custom images, the key must match with the key in
    * [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverride.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverride.java
new file mode 100644
index 000000000..e1ed5ec8d
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverride.java
@@ -0,0 +1,2094 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1beta1/explanation.proto
+
+package com.google.cloud.aiplatform.v1beta1;
+
+/**
+ *
+ *
+ * <pre>
+ * The [ExplanationMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata] entries that can be overridden at
+ * [online explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride}
+ */
+public final class ExplanationMetadataOverride extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride)
+    ExplanationMetadataOverrideOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ExplanationMetadataOverride.newBuilder() to construct.
+  private ExplanationMetadataOverride(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ExplanationMetadataOverride() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ExplanationMetadataOverride();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ExplanationMetadataOverride(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    int mutable_bitField0_ = 0;
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              if (!((mutable_bitField0_ & 0x00000001) != 0)) {
+                inputs_ =
+                    com.google.protobuf.MapField.newMapField(InputsDefaultEntryHolder.defaultEntry);
+                mutable_bitField0_ |= 0x00000001;
+              }
+              com.google.protobuf.MapEntry<
+                      java.lang.String,
+                      com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride
+                          .InputMetadataOverride>
+                  inputs__ =
+                      input.readMessage(
+                          InputsDefaultEntryHolder.defaultEntry.getParserForType(),
+                          extensionRegistry);
+              inputs_.getMutableMap().put(inputs__.getKey(), inputs__.getValue());
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1beta1.ExplanationProto
+        .internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_descriptor;
+  }
+
+  @SuppressWarnings({"rawtypes"})
+  @java.lang.Override
+  protected com.google.protobuf.MapField internalGetMapField(int number) {
+    switch (number) {
+      case 1:
+        return internalGetInputs();
+      default:
+        throw new RuntimeException("Invalid map field number: " + number);
+    }
+  }
+
+  @java.lang.Override
+  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internalGetFieldAccessorTable() {
+    return com.google.cloud.aiplatform.v1beta1.ExplanationProto
+        .internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_fieldAccessorTable
+        .ensureFieldAccessorsInitialized(
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.class,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.Builder.class);
+  }
+
+  public interface InputMetadataOverrideOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * <pre>
+     * Baseline inputs for this feature.
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+     * object of the corresponding feature's input metadata. If it's not
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+     * Baseline inputs for this feature.
+     * This overrides the `input_baseline` field of the
+     * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+     * object of the corresponding feature's input metadata. If it's not
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+     * Baseline inputs for this feature.
+     * This overrides the `input_baseline` field of the
+     * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+     * object of the corresponding feature's input metadata. If it's not
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+     * This overrides the `input_baseline` field of the
+     * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+     * object of the corresponding feature's input metadata. If it's not
+     * specified, the original baselines are not overridden.
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+     * This overrides the `input_baseline` field of the
+     * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+     * object of the corresponding feature's input metadata. If it's not
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+     * Baseline inputs for this feature.
+     * This overrides the `input_baseline` field of the
+     * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+     * object of the corresponding feature's input metadata. If it's not
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+    /**
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+     * Baseline inputs for this feature.
+     * This overrides the `input_baseline` field of the
+     * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+     * object of the corresponding feature's input metadata. If it's not
+     * specified, the original baselines are not overridden.
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+     * The [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata] entries to be
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+          java.util.Collections.emptyList();
+
+      private void ensureInputBaselinesIsMutable() {
+        if (!((bitField0_ & 0x00000001) != 0)) {
+          inputBaselines_ = new java.util.ArrayList<com.google.protobuf.Value>(inputBaselines_);
+          bitField0_ |= 0x00000001;
+        }
+      }
+
+      private com.google.protobuf.RepeatedFieldBuilderV3<
+              com.google.protobuf.Value,
+              com.google.protobuf.Value.Builder,
+              com.google.protobuf.ValueOrBuilder>
+          inputBaselinesBuilder_;
+
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public java.util.List<com.google.protobuf.Value> getInputBaselinesList() {
+        if (inputBaselinesBuilder_ == null) {
+          return java.util.Collections.unmodifiableList(inputBaselines_);
+        } else {
+          return inputBaselinesBuilder_.getMessageList();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public int getInputBaselinesCount() {
+        if (inputBaselinesBuilder_ == null) {
+          return inputBaselines_.size();
+        } else {
+          return inputBaselinesBuilder_.getCount();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public com.google.protobuf.Value getInputBaselines(int index) {
+        if (inputBaselinesBuilder_ == null) {
+          return inputBaselines_.get(index);
+        } else {
+          return inputBaselinesBuilder_.getMessage(index);
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public Builder setInputBaselines(int index, com.google.protobuf.Value value) {
+        if (inputBaselinesBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureInputBaselinesIsMutable();
+          inputBaselines_.set(index, value);
+          onChanged();
+        } else {
+          inputBaselinesBuilder_.setMessage(index, value);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public Builder setInputBaselines(
+          int index, com.google.protobuf.Value.Builder builderForValue) {
+        if (inputBaselinesBuilder_ == null) {
+          ensureInputBaselinesIsMutable();
+          inputBaselines_.set(index, builderForValue.build());
+          onChanged();
+        } else {
+          inputBaselinesBuilder_.setMessage(index, builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public Builder addInputBaselines(com.google.protobuf.Value value) {
+        if (inputBaselinesBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureInputBaselinesIsMutable();
+          inputBaselines_.add(value);
+          onChanged();
+        } else {
+          inputBaselinesBuilder_.addMessage(value);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public Builder addInputBaselines(int index, com.google.protobuf.Value value) {
+        if (inputBaselinesBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          ensureInputBaselinesIsMutable();
+          inputBaselines_.add(index, value);
+          onChanged();
+        } else {
+          inputBaselinesBuilder_.addMessage(index, value);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public Builder addInputBaselines(com.google.protobuf.Value.Builder builderForValue) {
+        if (inputBaselinesBuilder_ == null) {
+          ensureInputBaselinesIsMutable();
+          inputBaselines_.add(builderForValue.build());
+          onChanged();
+        } else {
+          inputBaselinesBuilder_.addMessage(builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public Builder addInputBaselines(
+          int index, com.google.protobuf.Value.Builder builderForValue) {
+        if (inputBaselinesBuilder_ == null) {
+          ensureInputBaselinesIsMutable();
+          inputBaselines_.add(index, builderForValue.build());
+          onChanged();
+        } else {
+          inputBaselinesBuilder_.addMessage(index, builderForValue.build());
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public Builder addAllInputBaselines(
+          java.lang.Iterable<? extends com.google.protobuf.Value> values) {
+        if (inputBaselinesBuilder_ == null) {
+          ensureInputBaselinesIsMutable();
+          com.google.protobuf.AbstractMessageLite.Builder.addAll(values, inputBaselines_);
+          onChanged();
+        } else {
+          inputBaselinesBuilder_.addAllMessages(values);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public Builder clearInputBaselines() {
+        if (inputBaselinesBuilder_ == null) {
+          inputBaselines_ = java.util.Collections.emptyList();
+          bitField0_ = (bitField0_ & ~0x00000001);
+          onChanged();
+        } else {
+          inputBaselinesBuilder_.clear();
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public Builder removeInputBaselines(int index) {
+        if (inputBaselinesBuilder_ == null) {
+          ensureInputBaselinesIsMutable();
+          inputBaselines_.remove(index);
+          onChanged();
+        } else {
+          inputBaselinesBuilder_.remove(index);
+        }
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public com.google.protobuf.Value.Builder getInputBaselinesBuilder(int index) {
+        return getInputBaselinesFieldBuilder().getBuilder(index);
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public com.google.protobuf.ValueOrBuilder getInputBaselinesOrBuilder(int index) {
+        if (inputBaselinesBuilder_ == null) {
+          return inputBaselines_.get(index);
+        } else {
+          return inputBaselinesBuilder_.getMessageOrBuilder(index);
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public java.util.List<? extends com.google.protobuf.ValueOrBuilder>
+          getInputBaselinesOrBuilderList() {
+        if (inputBaselinesBuilder_ != null) {
+          return inputBaselinesBuilder_.getMessageOrBuilderList();
+        } else {
+          return java.util.Collections.unmodifiableList(inputBaselines_);
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public com.google.protobuf.Value.Builder addInputBaselinesBuilder() {
+        return getInputBaselinesFieldBuilder()
+            .addBuilder(com.google.protobuf.Value.getDefaultInstance());
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public com.google.protobuf.Value.Builder addInputBaselinesBuilder(int index) {
+        return getInputBaselinesFieldBuilder()
+            .addBuilder(index, com.google.protobuf.Value.getDefaultInstance());
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Baseline inputs for this feature.
+       * This overrides the `input_baseline` field of the
+       * [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+       * object of the corresponding feature's input metadata. If it's not
+       * specified, the original baselines are not overridden.
+       * </pre>
+       *
+       * <code>repeated .google.protobuf.Value input_baselines = 1;</code>
+       */
+      public java.util.List<com.google.protobuf.Value.Builder> getInputBaselinesBuilderList() {
+        return getInputBaselinesFieldBuilder().getBuilderList();
+      }
+
+      private com.google.protobuf.RepeatedFieldBuilderV3<
+              com.google.protobuf.Value,
+              com.google.protobuf.Value.Builder,
+              com.google.protobuf.ValueOrBuilder>
+          getInputBaselinesFieldBuilder() {
+        if (inputBaselinesBuilder_ == null) {
+          inputBaselinesBuilder_ =
+              new com.google.protobuf.RepeatedFieldBuilderV3<
+                  com.google.protobuf.Value,
+                  com.google.protobuf.Value.Builder,
+                  com.google.protobuf.ValueOrBuilder>(
+                  inputBaselines_,
+                  ((bitField0_ & 0x00000001) != 0),
+                  getParentForChildren(),
+                  isClean());
+          inputBaselines_ = null;
+        }
+        return inputBaselinesBuilder_;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride)
+    private static final com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride
+            .InputMetadataOverride
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE =
+          new com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride
+              .InputMetadataOverride();
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride
+            .InputMetadataOverride
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser<InputMetadataOverride> PARSER =
+        new com.google.protobuf.AbstractParser<InputMetadataOverride>() {
+          @java.lang.Override
+          public InputMetadataOverride parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new InputMetadataOverride(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser<InputMetadataOverride> parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser<InputMetadataOverride> getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
+  public static final int INPUTS_FIELD_NUMBER = 1;
+
+  private static final class InputsDefaultEntryHolder {
+    static final com.google.protobuf.MapEntry<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+        defaultEntry =
+            com.google.protobuf.MapEntry
+                .<java.lang.String,
+                    com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride
+                        .InputMetadataOverride>
+                    newDefaultInstance(
+                        com.google.cloud.aiplatform.v1beta1.ExplanationProto
+                            .internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputsEntry_descriptor,
+                        com.google.protobuf.WireFormat.FieldType.STRING,
+                        "",
+                        com.google.protobuf.WireFormat.FieldType.MESSAGE,
+                        com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride
+                            .InputMetadataOverride.getDefaultInstance());
+  }
+
+  private com.google.protobuf.MapField<
+          java.lang.String,
+          com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+      inputs_;
+
+  private com.google.protobuf.MapField<
+          java.lang.String,
+          com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+      internalGetInputs() {
+    if (inputs_ == null) {
+      return com.google.protobuf.MapField.emptyMapField(InputsDefaultEntryHolder.defaultEntry);
+    }
+    return inputs_;
+  }
+
+  public int getInputsCount() {
+    return internalGetInputs().getMap().size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+   * The key is the name of the feature to be overridden. The keys specified
+   * here must exist in the input metadata to be overridden. If a feature is
+   * not specified here, the corresponding feature's input metadata is not
+   * overridden.
+   * </pre>
+   *
+   * <code>
+   * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public boolean containsInputs(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    return internalGetInputs().getMap().containsKey(key);
+  }
+  /** Use {@link #getInputsMap()} instead. */
+  @java.lang.Override
+  @java.lang.Deprecated
+  public java.util.Map<
+          java.lang.String,
+          com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+      getInputs() {
+    return getInputsMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+   * The key is the name of the feature to be overridden. The keys specified
+   * here must exist in the input metadata to be overridden. If a feature is
+   * not specified here, the corresponding feature's input metadata is not
+   * overridden.
+   * </pre>
+   *
+   * <code>
+   * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.Map<
+          java.lang.String,
+          com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+      getInputsMap() {
+    return internalGetInputs().getMap();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+   * The key is the name of the feature to be overridden. The keys specified
+   * here must exist in the input metadata to be overridden. If a feature is
+   * not specified here, the corresponding feature's input metadata is not
+   * overridden.
+   * </pre>
+   *
+   * <code>
+   * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride
+      getInputsOrDefault(
+          java.lang.String key,
+          com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride
+              defaultValue) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+        map = internalGetInputs().getMap();
+    return map.containsKey(key) ? map.get(key) : defaultValue;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+   * The key is the name of the feature to be overridden. The keys specified
+   * here must exist in the input metadata to be overridden. If a feature is
+   * not specified here, the corresponding feature's input metadata is not
+   * overridden.
+   * </pre>
+   *
+   * <code>
+   * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride
+      getInputsOrThrow(java.lang.String key) {
+    if (key == null) {
+      throw new java.lang.NullPointerException();
+    }
+    java.util.Map<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+        map = internalGetInputs().getMap();
+    if (!map.containsKey(key)) {
+      throw new java.lang.IllegalArgumentException();
+    }
+    return map.get(key);
+  }
+
+  private byte memoizedIsInitialized = -1;
+
+  @java.lang.Override
+  public final boolean isInitialized() {
+    byte isInitialized = memoizedIsInitialized;
+    if (isInitialized == 1) return true;
+    if (isInitialized == 0) return false;
+
+    memoizedIsInitialized = 1;
+    return true;
+  }
+
+  @java.lang.Override
+  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+    com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
+        output, internalGetInputs(), InputsDefaultEntryHolder.defaultEntry, 1);
+    unknownFields.writeTo(output);
+  }
+
+  @java.lang.Override
+  public int getSerializedSize() {
+    int size = memoizedSize;
+    if (size != -1) return size;
+
+    size = 0;
+    for (java.util.Map.Entry<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+        entry : internalGetInputs().getMap().entrySet()) {
+      com.google.protobuf.MapEntry<
+              java.lang.String,
+              com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+          inputs__ =
+              InputsDefaultEntryHolder.defaultEntry
+                  .newBuilderForType()
+                  .setKey(entry.getKey())
+                  .setValue(entry.getValue())
+                  .build();
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, inputs__);
+    }
+    size += unknownFields.getSerializedSize();
+    memoizedSize = size;
+    return size;
+  }
+
+  @java.lang.Override
+  public boolean equals(final java.lang.Object obj) {
+    if (obj == this) {
+      return true;
+    }
+    if (!(obj instanceof com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride)) {
+      return super.equals(obj);
+    }
+    com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride other =
+        (com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride) obj;
+
+    if (!internalGetInputs().equals(other.internalGetInputs())) return false;
+    if (!unknownFields.equals(other.unknownFields)) return false;
+    return true;
+  }
+
+  @java.lang.Override
+  public int hashCode() {
+    if (memoizedHashCode != 0) {
+      return memoizedHashCode;
+    }
+    int hash = 41;
+    hash = (19 * hash) + getDescriptor().hashCode();
+    if (!internalGetInputs().getMap().isEmpty()) {
+      hash = (37 * hash) + INPUTS_FIELD_NUMBER;
+      hash = (53 * hash) + internalGetInputs().hashCode();
+    }
+    hash = (29 * hash) + unknownFields.hashCode();
+    memoizedHashCode = hash;
+    return hash;
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride parseFrom(
+      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride parseFrom(
+      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride parseFrom(
+      com.google.protobuf.ByteString data)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride parseFrom(
+      com.google.protobuf.ByteString data,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride parseFrom(
+      byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride parseFrom(
+      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    return PARSER.parseFrom(data, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride parseFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride parseFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride parseDelimitedFrom(
+      java.io.InputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride parseDelimitedFrom(
+      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride parseFrom(
+      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride parseFrom(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws java.io.IOException {
+    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+        PARSER, input, extensionRegistry);
+  }
+
+  @java.lang.Override
+  public Builder newBuilderForType() {
+    return newBuilder();
+  }
+
+  public static Builder newBuilder() {
+    return DEFAULT_INSTANCE.toBuilder();
+  }
+
+  public static Builder newBuilder(
+      com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride prototype) {
+    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+  }
+
+  @java.lang.Override
+  public Builder toBuilder() {
+    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+  }
+
+  @java.lang.Override
+  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+    Builder builder = new Builder(parent);
+    return builder;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The [ExplanationMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata] entries that can be overridden at
+   * [online explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.
+   * </pre>
+   *
+   * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride}
+   */
+  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+      implements
+      // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride)
+      com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverrideOrBuilder {
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1beta1.ExplanationProto
+          .internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_descriptor;
+    }
+
+    @SuppressWarnings({"rawtypes"})
+    protected com.google.protobuf.MapField internalGetMapField(int number) {
+      switch (number) {
+        case 1:
+          return internalGetInputs();
+        default:
+          throw new RuntimeException("Invalid map field number: " + number);
+      }
+    }
+
+    @SuppressWarnings({"rawtypes"})
+    protected com.google.protobuf.MapField internalGetMutableMapField(int number) {
+      switch (number) {
+        case 1:
+          return internalGetMutableInputs();
+        default:
+          throw new RuntimeException("Invalid map field number: " + number);
+      }
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1beta1.ExplanationProto
+          .internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.class,
+              com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.Builder.class);
+    }
+
+    // Construct using com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.newBuilder()
+    private Builder() {
+      maybeForceBuilderInitialization();
+    }
+
+    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      super(parent);
+      maybeForceBuilderInitialization();
+    }
+
+    private void maybeForceBuilderInitialization() {
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+    }
+
+    @java.lang.Override
+    public Builder clear() {
+      super.clear();
+      internalGetMutableInputs().clear();
+      return this;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+      return com.google.cloud.aiplatform.v1beta1.ExplanationProto
+          .internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_descriptor;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride
+        getDefaultInstanceForType() {
+      return com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.getDefaultInstance();
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride build() {
+      com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride result = buildPartial();
+      if (!result.isInitialized()) {
+        throw newUninitializedMessageException(result);
+      }
+      return result;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride buildPartial() {
+      com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride result =
+          new com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride(this);
+      int from_bitField0_ = bitField0_;
+      result.inputs_ = internalGetInputs();
+      result.inputs_.makeImmutable();
+      onBuilt();
+      return result;
+    }
+
+    @java.lang.Override
+    public Builder clone() {
+      return super.clone();
+    }
+
+    @java.lang.Override
+    public Builder setField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.setField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+      return super.clearField(field);
+    }
+
+    @java.lang.Override
+    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+      return super.clearOneof(oneof);
+    }
+
+    @java.lang.Override
+    public Builder setRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
+      return super.setRepeatedField(field, index, value);
+    }
+
+    @java.lang.Override
+    public Builder addRepeatedField(
+        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+      return super.addRepeatedField(field, value);
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(com.google.protobuf.Message other) {
+      if (other instanceof com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride) {
+        return mergeFrom((com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride) other);
+      } else {
+        super.mergeFrom(other);
+        return this;
+      }
+    }
+
+    public Builder mergeFrom(
+        com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride other) {
+      if (other
+          == com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.getDefaultInstance())
+        return this;
+      internalGetMutableInputs().mergeFrom(other.internalGetInputs());
+      this.mergeUnknownFields(other.unknownFields);
+      onChanged();
+      return this;
+    }
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      return true;
+    }
+
+    @java.lang.Override
+    public Builder mergeFrom(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws java.io.IOException {
+      com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride parsedMessage = null;
+      try {
+        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        parsedMessage =
+            (com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride)
+                e.getUnfinishedMessage();
+        throw e.unwrapIOException();
+      } finally {
+        if (parsedMessage != null) {
+          mergeFrom(parsedMessage);
+        }
+      }
+      return this;
+    }
+
+    private int bitField0_;
+
+    private com.google.protobuf.MapField<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+        inputs_;
+
+    private com.google.protobuf.MapField<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+        internalGetInputs() {
+      if (inputs_ == null) {
+        return com.google.protobuf.MapField.emptyMapField(InputsDefaultEntryHolder.defaultEntry);
+      }
+      return inputs_;
+    }
+
+    private com.google.protobuf.MapField<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+        internalGetMutableInputs() {
+      onChanged();
+      ;
+      if (inputs_ == null) {
+        inputs_ = com.google.protobuf.MapField.newMapField(InputsDefaultEntryHolder.defaultEntry);
+      }
+      if (!inputs_.isMutable()) {
+        inputs_ = inputs_.copy();
+      }
+      return inputs_;
+    }
+
+    public int getInputsCount() {
+      return internalGetInputs().getMap().size();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+     * The key is the name of the feature to be overridden. The keys specified
+     * here must exist in the input metadata to be overridden. If a feature is
+     * not specified here, the corresponding feature's input metadata is not
+     * overridden.
+     * </pre>
+     *
+     * <code>
+     * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    @java.lang.Override
+    public boolean containsInputs(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      return internalGetInputs().getMap().containsKey(key);
+    }
+    /** Use {@link #getInputsMap()} instead. */
+    @java.lang.Override
+    @java.lang.Deprecated
+    public java.util.Map<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+        getInputs() {
+      return getInputsMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+     * The key is the name of the feature to be overridden. The keys specified
+     * here must exist in the input metadata to be overridden. If a feature is
+     * not specified here, the corresponding feature's input metadata is not
+     * overridden.
+     * </pre>
+     *
+     * <code>
+     * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    @java.lang.Override
+    public java.util.Map<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+        getInputsMap() {
+      return internalGetInputs().getMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+     * The key is the name of the feature to be overridden. The keys specified
+     * here must exist in the input metadata to be overridden. If a feature is
+     * not specified here, the corresponding feature's input metadata is not
+     * overridden.
+     * </pre>
+     *
+     * <code>
+     * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride
+        getInputsOrDefault(
+            java.lang.String key,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride
+                defaultValue) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<
+              java.lang.String,
+              com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+          map = internalGetInputs().getMap();
+      return map.containsKey(key) ? map.get(key) : defaultValue;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+     * The key is the name of the feature to be overridden. The keys specified
+     * here must exist in the input metadata to be overridden. If a feature is
+     * not specified here, the corresponding feature's input metadata is not
+     * overridden.
+     * </pre>
+     *
+     * <code>
+     * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride
+        getInputsOrThrow(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      java.util.Map<
+              java.lang.String,
+              com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+          map = internalGetInputs().getMap();
+      if (!map.containsKey(key)) {
+        throw new java.lang.IllegalArgumentException();
+      }
+      return map.get(key);
+    }
+
+    public Builder clearInputs() {
+      internalGetMutableInputs().getMutableMap().clear();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+     * The key is the name of the feature to be overridden. The keys specified
+     * here must exist in the input metadata to be overridden. If a feature is
+     * not specified here, the corresponding feature's input metadata is not
+     * overridden.
+     * </pre>
+     *
+     * <code>
+     * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder removeInputs(java.lang.String key) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableInputs().getMutableMap().remove(key);
+      return this;
+    }
+    /** Use alternate mutation accessors instead. */
+    @java.lang.Deprecated
+    public java.util.Map<
+            java.lang.String,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+        getMutableInputs() {
+      return internalGetMutableInputs().getMutableMap();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+     * The key is the name of the feature to be overridden. The keys specified
+     * here must exist in the input metadata to be overridden. If a feature is
+     * not specified here, the corresponding feature's input metadata is not
+     * overridden.
+     * </pre>
+     *
+     * <code>
+     * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder putInputs(
+        java.lang.String key,
+        com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride
+            value) {
+      if (key == null) {
+        throw new java.lang.NullPointerException();
+      }
+      if (value == null) {
+        throw new java.lang.NullPointerException();
+      }
+      internalGetMutableInputs().getMutableMap().put(key, value);
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+     * The key is the name of the feature to be overridden. The keys specified
+     * here must exist in the input metadata to be overridden. If a feature is
+     * not specified here, the corresponding feature's input metadata is not
+     * overridden.
+     * </pre>
+     *
+     * <code>
+     * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+     * </code>
+     */
+    public Builder putAllInputs(
+        java.util.Map<
+                java.lang.String,
+                com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride
+                    .InputMetadataOverride>
+            values) {
+      internalGetMutableInputs().getMutableMap().putAll(values);
+      return this;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride)
+  private static final com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride
+      DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride();
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride
+      getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ExplanationMetadataOverride> PARSER =
+      new com.google.protobuf.AbstractParser<ExplanationMetadataOverride>() {
+        @java.lang.Override
+        public ExplanationMetadataOverride parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ExplanationMetadataOverride(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ExplanationMetadataOverride> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ExplanationMetadataOverride> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride
+      getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverrideOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverrideOrBuilder.java
new file mode 100644
index 000000000..d668b24b2
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverrideOrBuilder.java
@@ -0,0 +1,120 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1beta1/explanation.proto
+
+package com.google.cloud.aiplatform.v1beta1;
+
+public interface ExplanationMetadataOverrideOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+   * The key is the name of the feature to be overridden. The keys specified
+   * here must exist in the input metadata to be overridden. If a feature is
+   * not specified here, the corresponding feature's input metadata is not
+   * overridden.
+   * </pre>
+   *
+   * <code>
+   * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  int getInputsCount();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+   * The key is the name of the feature to be overridden. The keys specified
+   * here must exist in the input metadata to be overridden. If a feature is
+   * not specified here, the corresponding feature's input metadata is not
+   * overridden.
+   * </pre>
+   *
+   * <code>
+   * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  boolean containsInputs(java.lang.String key);
+  /** Use {@link #getInputsMap()} instead. */
+  @java.lang.Deprecated
+  java.util.Map<
+          java.lang.String,
+          com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+      getInputs();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+   * The key is the name of the feature to be overridden. The keys specified
+   * here must exist in the input metadata to be overridden. If a feature is
+   * not specified here, the corresponding feature's input metadata is not
+   * overridden.
+   * </pre>
+   *
+   * <code>
+   * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  java.util.Map<
+          java.lang.String,
+          com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride>
+      getInputsMap();
+  /**
+   *
+   *
+   * <pre>
+   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+   * The key is the name of the feature to be overridden. The keys specified
+   * here must exist in the input metadata to be overridden. If a feature is
+   * not specified here, the corresponding feature's input metadata is not
+   * overridden.
+   * </pre>
+   *
+   * <code>
+   * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride
+      getInputsOrDefault(
+          java.lang.String key,
+          com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride
+              defaultValue);
+  /**
+   *
+   *
+   * <pre>
+   * Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+   * The key is the name of the feature to be overridden. The keys specified
+   * here must exist in the input metadata to be overridden. If a feature is
+   * not specified here, the corresponding feature's input metadata is not
+   * overridden.
+   * </pre>
+   *
+   * <code>
+   * map&lt;string, .google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride&gt; inputs = 1 [(.google.api.field_behavior) = REQUIRED];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.InputMetadataOverride
+      getInputsOrThrow(java.lang.String key);
+}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParameters.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParameters.java
index e4612aeb9..eb75dc2a5 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParameters.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParameters.java
@@ -466,7 +466,7 @@ public int getTopK() {
    *
    * <pre>
    * If populated, only returns attributions that have
-   * [output_index][Attributions.output_index] contained in output_indices. It
+   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
    * must be an ndarray of integers, with the same shape of the output it's
    * explaining.
    * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -489,7 +489,7 @@ public boolean hasOutputIndices() {
    *
    * <pre>
    * If populated, only returns attributions that have
-   * [output_index][Attributions.output_index] contained in output_indices. It
+   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
    * must be an ndarray of integers, with the same shape of the output it's
    * explaining.
    * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -514,7 +514,7 @@ public com.google.protobuf.ListValue getOutputIndices() {
    *
    * <pre>
    * If populated, only returns attributions that have
-   * [output_index][Attributions.output_index] contained in output_indices. It
+   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
    * must be an ndarray of integers, with the same shape of the output it's
    * explaining.
    * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -1860,7 +1860,7 @@ public Builder clearTopK() {
      *
      * <pre>
      * If populated, only returns attributions that have
-     * [output_index][Attributions.output_index] contained in output_indices. It
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
      * must be an ndarray of integers, with the same shape of the output it's
      * explaining.
      * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -1882,7 +1882,7 @@ public boolean hasOutputIndices() {
      *
      * <pre>
      * If populated, only returns attributions that have
-     * [output_index][Attributions.output_index] contained in output_indices. It
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
      * must be an ndarray of integers, with the same shape of the output it's
      * explaining.
      * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -1910,7 +1910,7 @@ public com.google.protobuf.ListValue getOutputIndices() {
      *
      * <pre>
      * If populated, only returns attributions that have
-     * [output_index][Attributions.output_index] contained in output_indices. It
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
      * must be an ndarray of integers, with the same shape of the output it's
      * explaining.
      * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -1940,7 +1940,7 @@ public Builder setOutputIndices(com.google.protobuf.ListValue value) {
      *
      * <pre>
      * If populated, only returns attributions that have
-     * [output_index][Attributions.output_index] contained in output_indices. It
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
      * must be an ndarray of integers, with the same shape of the output it's
      * explaining.
      * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -1967,7 +1967,7 @@ public Builder setOutputIndices(com.google.protobuf.ListValue.Builder builderFor
      *
      * <pre>
      * If populated, only returns attributions that have
-     * [output_index][Attributions.output_index] contained in output_indices. It
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
      * must be an ndarray of integers, with the same shape of the output it's
      * explaining.
      * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -2001,7 +2001,7 @@ public Builder mergeOutputIndices(com.google.protobuf.ListValue value) {
      *
      * <pre>
      * If populated, only returns attributions that have
-     * [output_index][Attributions.output_index] contained in output_indices. It
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
      * must be an ndarray of integers, with the same shape of the output it's
      * explaining.
      * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -2029,7 +2029,7 @@ public Builder clearOutputIndices() {
      *
      * <pre>
      * If populated, only returns attributions that have
-     * [output_index][Attributions.output_index] contained in output_indices. It
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
      * must be an ndarray of integers, with the same shape of the output it's
      * explaining.
      * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -2051,7 +2051,7 @@ public com.google.protobuf.ListValue.Builder getOutputIndicesBuilder() {
      *
      * <pre>
      * If populated, only returns attributions that have
-     * [output_index][Attributions.output_index] contained in output_indices. It
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
      * must be an ndarray of integers, with the same shape of the output it's
      * explaining.
      * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -2077,7 +2077,7 @@ public com.google.protobuf.ListValueOrBuilder getOutputIndicesOrBuilder() {
      *
      * <pre>
      * If populated, only returns attributions that have
-     * [output_index][Attributions.output_index] contained in output_indices. It
+     * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
      * must be an ndarray of integers, with the same shape of the output it's
      * explaining.
      * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParametersOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParametersOrBuilder.java
index 49e328159..481e2c415 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParametersOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParametersOrBuilder.java
@@ -200,7 +200,7 @@ public interface ExplanationParametersOrBuilder
    *
    * <pre>
    * If populated, only returns attributions that have
-   * [output_index][Attributions.output_index] contained in output_indices. It
+   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
    * must be an ndarray of integers, with the same shape of the output it's
    * explaining.
    * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -220,7 +220,7 @@ public interface ExplanationParametersOrBuilder
    *
    * <pre>
    * If populated, only returns attributions that have
-   * [output_index][Attributions.output_index] contained in output_indices. It
+   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
    * must be an ndarray of integers, with the same shape of the output it's
    * explaining.
    * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
@@ -240,7 +240,7 @@ public interface ExplanationParametersOrBuilder
    *
    * <pre>
    * If populated, only returns attributions that have
-   * [output_index][Attributions.output_index] contained in output_indices. It
+   * [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
    * must be an ndarray of integers, with the same shape of the output it's
    * explaining.
    * If not populated, returns attributions for [top_k][google.cloud.aiplatform.v1beta1.ExplanationParameters.top_k] indices of outputs.
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationProto.java
index 024a4c76c..5dba6213f 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationProto.java
@@ -71,6 +71,22 @@ public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry r
       internal_static_google_cloud_aiplatform_v1beta1_FeatureNoiseSigma_NoiseSigmaForFeature_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
       internal_static_google_cloud_aiplatform_v1beta1_FeatureNoiseSigma_NoiseSigmaForFeature_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1beta1_ExplanationSpecOverride_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1beta1_ExplanationSpecOverride_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputMetadataOverride_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputMetadataOverride_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputsEntry_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputsEntry_fieldAccessorTable;
 
   public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     return descriptor;
@@ -128,10 +144,23 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "gle.cloud.aiplatform.v1beta1.FeatureNois"
           + "eSigma.NoiseSigmaForFeature\0323\n\024NoiseSigm"
           + "aForFeature\022\014\n\004name\030\001 \001(\t\022\r\n\005sigma\030\002 \001(\002"
-          + "B\204\001\n#com.google.cloud.aiplatform.v1beta1"
-          + "B\020ExplanationProtoP\001ZIgoogle.golang.org/"
-          + "genproto/googleapis/cloud/aiplatform/v1b"
-          + "eta1;aiplatformb\006proto3"
+          + "\"\265\001\n\027ExplanationSpecOverride\022J\n\nparamete"
+          + "rs\030\001 \001(\01326.google.cloud.aiplatform.v1bet"
+          + "a1.ExplanationParameters\022N\n\010metadata\030\002 \001"
+          + "(\0132<.google.cloud.aiplatform.v1beta1.Exp"
+          + "lanationMetadataOverride\"\312\002\n\033Explanation"
+          + "MetadataOverride\022]\n\006inputs\030\001 \003(\0132H.googl"
+          + "e.cloud.aiplatform.v1beta1.ExplanationMe"
+          + "tadataOverride.InputsEntryB\003\340A\002\032H\n\025Input"
+          + "MetadataOverride\022/\n\017input_baselines\030\001 \003("
+          + "\0132\026.google.protobuf.Value\032\201\001\n\013InputsEntr"
+          + "y\022\013\n\003key\030\001 \001(\t\022a\n\005value\030\002 \001(\0132R.google.c"
+          + "loud.aiplatform.v1beta1.ExplanationMetad"
+          + "ataOverride.InputMetadataOverride:\0028\001B\204\001"
+          + "\n#com.google.cloud.aiplatform.v1beta1B\020E"
+          + "xplanationProtoP\001ZIgoogle.golang.org/gen"
+          + "proto/googleapis/cloud/aiplatform/v1beta"
+          + "1;aiplatformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -243,6 +272,42 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
             new java.lang.String[] {
               "Name", "Sigma",
             });
+    internal_static_google_cloud_aiplatform_v1beta1_ExplanationSpecOverride_descriptor =
+        getDescriptor().getMessageTypes().get(10);
+    internal_static_google_cloud_aiplatform_v1beta1_ExplanationSpecOverride_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1beta1_ExplanationSpecOverride_descriptor,
+            new java.lang.String[] {
+              "Parameters", "Metadata",
+            });
+    internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_descriptor =
+        getDescriptor().getMessageTypes().get(11);
+    internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_descriptor,
+            new java.lang.String[] {
+              "Inputs",
+            });
+    internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputMetadataOverride_descriptor =
+        internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputMetadataOverride_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputMetadataOverride_descriptor,
+            new java.lang.String[] {
+              "InputBaselines",
+            });
+    internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputsEntry_descriptor =
+        internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_descriptor
+            .getNestedTypes()
+            .get(1);
+    internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputsEntry_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1beta1_ExplanationMetadataOverride_InputsEntry_descriptor,
+            new java.lang.String[] {
+              "Key", "Value",
+            });
     com.google.protobuf.ExtensionRegistry registry =
         com.google.protobuf.ExtensionRegistry.newInstance();
     registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverride.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverride.java
new file mode 100644
index 000000000..0ceb1bee8
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverride.java
@@ -0,0 +1,1051 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1beta1/explanation.proto
+
+package com.google.cloud.aiplatform.v1beta1;
+
+/**
+ *
+ *
+ * <pre>
+ * The [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] entries that can be overridden at [online
+ * explanation][PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.
+ * </pre>
+ *
+ * Protobuf type {@code google.cloud.aiplatform.v1beta1.ExplanationSpecOverride}
+ */
+public final class ExplanationSpecOverride extends com.google.protobuf.GeneratedMessageV3
+    implements
+    // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.ExplanationSpecOverride)
+    ExplanationSpecOverrideOrBuilder {
+  private static final long serialVersionUID = 0L;
+  // Use ExplanationSpecOverride.newBuilder() to construct.
+  private ExplanationSpecOverride(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+    super(builder);
+  }
+
+  private ExplanationSpecOverride() {}
+
+  @java.lang.Override
+  @SuppressWarnings({"unused"})
+  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+    return new ExplanationSpecOverride();
+  }
+
+  @java.lang.Override
+  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+    return this.unknownFields;
+  }
+
+  private ExplanationSpecOverride(
+      com.google.protobuf.CodedInputStream input,
+      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+      throws com.google.protobuf.InvalidProtocolBufferException {
+    this();
+    if (extensionRegistry == null) {
+      throw new java.lang.NullPointerException();
+    }
+    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+        com.google.protobuf.UnknownFieldSet.newBuilder();
+    try {
+      boolean done = false;
+      while (!done) {
+        int tag = input.readTag();
+        switch (tag) {
+          case 0:
+            done = true;
+            break;
+          case 10:
+            {
+              com.google.cloud.aiplatform.v1beta1.ExplanationParameters.Builder subBuilder = null;
+              if (parameters_ != null) {
+                subBuilder = parameters_.toBuilder();
+              }
+              parameters_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1beta1.ExplanationParameters.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(parameters_);
+                parameters_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          case 18:
+            {
+              com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.Builder subBuilder =
+                  null;
+              if (metadata_ != null) {
+                subBuilder = metadata_.toBuilder();
+              }
+              metadata_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(metadata_);
+                metadata_ = subBuilder.buildPartial();
+              }
+
+              break;
+            }
+          default:
+            {
+              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                done = true;
+              }
+              break;
+            }
+        }
+      }
+    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+      throw e.setUnfinishedMessage(this);
+    } catch (java.io.IOException e) {
+      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+    } finally {
+      this.unknownFields = unknownFields.build();
+      makeExtensionsImmutable();
+    }
+  }
+
+  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+    return com.google.cloud.aiplatform.v1beta1.ExplanationProto
+        .internal_static_google_cloud_aiplatform_v1beta1_ExplanationSpecOverride_descriptor;
+  }
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+    /**
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+     * The parameters to be overridden. Note that the
+     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
+     * no parameter is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
+     *
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+     *
+     * <pre>
+     * The parameters to be overridden. Note that the
+     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
+     * no parameter is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
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+     *
+     *
+     * <pre>
+     * The parameters to be overridden. Note that the
+     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
+     * no parameter is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
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+
+      return this;
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+    /**
+     *
+     *
+     * <pre>
+     * The parameters to be overridden. Note that the
+     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
+     * no parameter is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
+     */
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+      return this;
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+    /**
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+     *
+     * <pre>
+     * The parameters to be overridden. Note that the
+     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
+     * no parameter is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
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+      return this;
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+    /**
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+     * <pre>
+     * The parameters to be overridden. Note that the
+     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
+     * no parameter is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
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+     * The parameters to be overridden. Note that the
+     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
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+     * The parameters to be overridden. Note that the
+     * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
+     * no parameter is overridden.
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+                getParameters(), getParentForChildren(), isClean());
+        parameters_ = null;
+      }
+      return parametersBuilder_;
+    }
+
+    private com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.Builder,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverrideOrBuilder>
+        metadataBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * The metadata to be overridden. If not specified, no metadata is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
+     *
+     * @return Whether the metadata field is set.
+     */
+    public boolean hasMetadata() {
+      return metadataBuilder_ != null || metadata_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata to be overridden. If not specified, no metadata is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
+     *
+     * @return The metadata.
+     */
+    public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride getMetadata() {
+      if (metadataBuilder_ == null) {
+        return metadata_ == null
+            ? com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.getDefaultInstance()
+            : metadata_;
+      } else {
+        return metadataBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata to be overridden. If not specified, no metadata is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
+     */
+    public Builder setMetadata(
+        com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride value) {
+      if (metadataBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        metadata_ = value;
+        onChanged();
+      } else {
+        metadataBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata to be overridden. If not specified, no metadata is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
+     */
+    public Builder setMetadata(
+        com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.Builder builderForValue) {
+      if (metadataBuilder_ == null) {
+        metadata_ = builderForValue.build();
+        onChanged();
+      } else {
+        metadataBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata to be overridden. If not specified, no metadata is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
+     */
+    public Builder mergeMetadata(
+        com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride value) {
+      if (metadataBuilder_ == null) {
+        if (metadata_ != null) {
+          metadata_ =
+              com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.newBuilder(metadata_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          metadata_ = value;
+        }
+        onChanged();
+      } else {
+        metadataBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata to be overridden. If not specified, no metadata is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
+     */
+    public Builder clearMetadata() {
+      if (metadataBuilder_ == null) {
+        metadata_ = null;
+        onChanged();
+      } else {
+        metadata_ = null;
+        metadataBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata to be overridden. If not specified, no metadata is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.Builder
+        getMetadataBuilder() {
+
+      onChanged();
+      return getMetadataFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata to be overridden. If not specified, no metadata is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverrideOrBuilder
+        getMetadataOrBuilder() {
+      if (metadataBuilder_ != null) {
+        return metadataBuilder_.getMessageOrBuilder();
+      } else {
+        return metadata_ == null
+            ? com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.getDefaultInstance()
+            : metadata_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The metadata to be overridden. If not specified, no metadata is overridden.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.Builder,
+            com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverrideOrBuilder>
+        getMetadataFieldBuilder() {
+      if (metadataBuilder_ == null) {
+        metadataBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride,
+                com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride.Builder,
+                com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverrideOrBuilder>(
+                getMetadata(), getParentForChildren(), isClean());
+        metadata_ = null;
+      }
+      return metadataBuilder_;
+    }
+
+    @java.lang.Override
+    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.setUnknownFields(unknownFields);
+    }
+
+    @java.lang.Override
+    public final Builder mergeUnknownFields(
+        final com.google.protobuf.UnknownFieldSet unknownFields) {
+      return super.mergeUnknownFields(unknownFields);
+    }
+
+    // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.ExplanationSpecOverride)
+  }
+
+  // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.ExplanationSpecOverride)
+  private static final com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride DEFAULT_INSTANCE;
+
+  static {
+    DEFAULT_INSTANCE = new com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride();
+  }
+
+  public static com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride getDefaultInstance() {
+    return DEFAULT_INSTANCE;
+  }
+
+  private static final com.google.protobuf.Parser<ExplanationSpecOverride> PARSER =
+      new com.google.protobuf.AbstractParser<ExplanationSpecOverride>() {
+        @java.lang.Override
+        public ExplanationSpecOverride parsePartialFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+          return new ExplanationSpecOverride(input, extensionRegistry);
+        }
+      };
+
+  public static com.google.protobuf.Parser<ExplanationSpecOverride> parser() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.protobuf.Parser<ExplanationSpecOverride> getParserForType() {
+    return PARSER;
+  }
+
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOverride getDefaultInstanceForType() {
+    return DEFAULT_INSTANCE;
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverrideOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverrideOrBuilder.java
new file mode 100644
index 000000000..390082aab
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverrideOrBuilder.java
@@ -0,0 +1,101 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// Generated by the protocol buffer compiler.  DO NOT EDIT!
+// source: google/cloud/aiplatform/v1beta1/explanation.proto
+
+package com.google.cloud.aiplatform.v1beta1;
+
+public interface ExplanationSpecOverrideOrBuilder
+    extends
+    // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.ExplanationSpecOverride)
+    com.google.protobuf.MessageOrBuilder {
+
+  /**
+   *
+   *
+   * <pre>
+   * The parameters to be overridden. Note that the
+   * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
+   * no parameter is overridden.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
+   *
+   * @return Whether the parameters field is set.
+   */
+  boolean hasParameters();
+  /**
+   *
+   *
+   * <pre>
+   * The parameters to be overridden. Note that the
+   * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
+   * no parameter is overridden.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
+   *
+   * @return The parameters.
+   */
+  com.google.cloud.aiplatform.v1beta1.ExplanationParameters getParameters();
+  /**
+   *
+   *
+   * <pre>
+   * The parameters to be overridden. Note that the
+   * [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
+   * no parameter is overridden.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationParameters parameters = 1;</code>
+   */
+  com.google.cloud.aiplatform.v1beta1.ExplanationParametersOrBuilder getParametersOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * The metadata to be overridden. If not specified, no metadata is overridden.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
+   *
+   * @return Whether the metadata field is set.
+   */
+  boolean hasMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The metadata to be overridden. If not specified, no metadata is overridden.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
+   *
+   * @return The metadata.
+   */
+  com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride getMetadata();
+  /**
+   *
+   *
+   * <pre>
+   * The metadata to be overridden. If not specified, no metadata is overridden.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverride metadata = 2;</code>
+   */
+  com.google.cloud.aiplatform.v1beta1.ExplanationMetadataOverrideOrBuilder getMetadataOrBuilder();
+}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportModelRequest.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportModelRequest.java
index 12a7d312f..15577f997 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportModelRequest.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportModelRequest.java
@@ -169,14 +169,14 @@ public interface OutputConfigOrBuilder
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the Model artifact is to be
+     * The Cloud Storage location where the Model artifact is to be
      * written to. Under the directory given as the destination a new one with
      * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
      * will be created. Inside, the Model and any of its supporting files
      * will be written.
-     * This field should only be set when
-     * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `ARTIFACT`.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -188,14 +188,14 @@ public interface OutputConfigOrBuilder
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the Model artifact is to be
+     * The Cloud Storage location where the Model artifact is to be
      * written to. Under the directory given as the destination a new one with
      * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
      * will be created. Inside, the Model and any of its supporting files
      * will be written.
-     * This field should only be set when
-     * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `ARTIFACT`.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -207,14 +207,14 @@ public interface OutputConfigOrBuilder
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the Model artifact is to be
+     * The Cloud Storage location where the Model artifact is to be
      * written to. Under the directory given as the destination a new one with
      * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
      * will be created. Inside, the Model and any of its supporting files
      * will be written.
-     * This field should only be set when
-     * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `ARTIFACT`.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -227,8 +227,8 @@ public interface OutputConfigOrBuilder
      * <pre>
      * The Google Container Registry or Artifact Registry uri where the
      * Model container image will be copied to.
-     * This field should only be set when
-     * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `IMAGE`.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -243,8 +243,8 @@ public interface OutputConfigOrBuilder
      * <pre>
      * The Google Container Registry or Artifact Registry uri where the
      * Model container image will be copied to.
-     * This field should only be set when
-     * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `IMAGE`.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -259,8 +259,8 @@ public interface OutputConfigOrBuilder
      * <pre>
      * The Google Container Registry or Artifact Registry uri where the
      * Model container image will be copied to.
-     * This field should only be set when
-     * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `IMAGE`.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -458,14 +458,14 @@ public com.google.protobuf.ByteString getExportFormatIdBytes() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the Model artifact is to be
+     * The Cloud Storage location where the Model artifact is to be
      * written to. Under the directory given as the destination a new one with
      * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
      * will be created. Inside, the Model and any of its supporting files
      * will be written.
-     * This field should only be set when
-     * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `ARTIFACT`.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -480,14 +480,14 @@ public boolean hasArtifactDestination() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the Model artifact is to be
+     * The Cloud Storage location where the Model artifact is to be
      * written to. Under the directory given as the destination a new one with
      * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
      * will be created. Inside, the Model and any of its supporting files
      * will be written.
-     * This field should only be set when
-     * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `ARTIFACT`.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -504,14 +504,14 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getArtifactDestination
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the Model artifact is to be
+     * The Cloud Storage location where the Model artifact is to be
      * written to. Under the directory given as the destination a new one with
      * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
      * will be created. Inside, the Model and any of its supporting files
      * will be written.
-     * This field should only be set when
-     * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `ARTIFACT`.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -530,8 +530,8 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getArtifactDestination
      * <pre>
      * The Google Container Registry or Artifact Registry uri where the
      * Model container image will be copied to.
-     * This field should only be set when
-     * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `IMAGE`.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -549,8 +549,8 @@ public boolean hasImageDestination() {
      * <pre>
      * The Google Container Registry or Artifact Registry uri where the
      * Model container image will be copied to.
-     * This field should only be set when
-     * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `IMAGE`.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -570,8 +570,8 @@ public com.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination getImage
      * <pre>
      * The Google Container Registry or Artifact Registry uri where the
      * Model container image will be copied to.
-     * This field should only be set when
-     * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+     * This field should only be set when the `exportableContent` field of the
+     * [Model.supported_export_formats] object contains `IMAGE`.
      * </pre>
      *
      * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -1102,14 +1102,14 @@ public Builder setExportFormatIdBytes(com.google.protobuf.ByteString value) {
        *
        *
        * <pre>
-       * The Google Cloud Storage location where the Model artifact is to be
+       * The Cloud Storage location where the Model artifact is to be
        * written to. Under the directory given as the destination a new one with
        * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
        * will be created. Inside, the Model and any of its supporting files
        * will be written.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `ARTIFACT`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -1123,14 +1123,14 @@ public boolean hasArtifactDestination() {
        *
        *
        * <pre>
-       * The Google Cloud Storage location where the Model artifact is to be
+       * The Cloud Storage location where the Model artifact is to be
        * written to. Under the directory given as the destination a new one with
        * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
        * will be created. Inside, the Model and any of its supporting files
        * will be written.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `ARTIFACT`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -1150,14 +1150,14 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getArtifactDestination
        *
        *
        * <pre>
-       * The Google Cloud Storage location where the Model artifact is to be
+       * The Cloud Storage location where the Model artifact is to be
        * written to. Under the directory given as the destination a new one with
        * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
        * will be created. Inside, the Model and any of its supporting files
        * will be written.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `ARTIFACT`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -1180,14 +1180,14 @@ public Builder setArtifactDestination(
        *
        *
        * <pre>
-       * The Google Cloud Storage location where the Model artifact is to be
+       * The Cloud Storage location where the Model artifact is to be
        * written to. Under the directory given as the destination a new one with
        * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
        * will be created. Inside, the Model and any of its supporting files
        * will be written.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `ARTIFACT`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -1207,14 +1207,14 @@ public Builder setArtifactDestination(
        *
        *
        * <pre>
-       * The Google Cloud Storage location where the Model artifact is to be
+       * The Cloud Storage location where the Model artifact is to be
        * written to. Under the directory given as the destination a new one with
        * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
        * will be created. Inside, the Model and any of its supporting files
        * will be written.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `ARTIFACT`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -1241,14 +1241,14 @@ public Builder mergeArtifactDestination(
        *
        *
        * <pre>
-       * The Google Cloud Storage location where the Model artifact is to be
+       * The Cloud Storage location where the Model artifact is to be
        * written to. Under the directory given as the destination a new one with
        * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
        * will be created. Inside, the Model and any of its supporting files
        * will be written.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `ARTIFACT`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -1268,14 +1268,14 @@ public Builder clearArtifactDestination() {
        *
        *
        * <pre>
-       * The Google Cloud Storage location where the Model artifact is to be
+       * The Cloud Storage location where the Model artifact is to be
        * written to. Under the directory given as the destination a new one with
        * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
        * will be created. Inside, the Model and any of its supporting files
        * will be written.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `ARTIFACT`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -1290,14 +1290,14 @@ public Builder clearArtifactDestination() {
        *
        *
        * <pre>
-       * The Google Cloud Storage location where the Model artifact is to be
+       * The Cloud Storage location where the Model artifact is to be
        * written to. Under the directory given as the destination a new one with
        * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
        * will be created. Inside, the Model and any of its supporting files
        * will be written.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `ARTIFACT`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -1316,14 +1316,14 @@ public Builder clearArtifactDestination() {
        *
        *
        * <pre>
-       * The Google Cloud Storage location where the Model artifact is to be
+       * The Cloud Storage location where the Model artifact is to be
        * written to. Under the directory given as the destination a new one with
        * name "`model-export-&lt;model-display-name&gt;-&lt;timestamp-of-export-call&gt;`",
        * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
        * will be created. Inside, the Model and any of its supporting files
        * will be written.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `ARTIFACT`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.GcsDestination artifact_destination = 3;</code>
@@ -1357,8 +1357,8 @@ public Builder clearArtifactDestination() {
        * <pre>
        * The Google Container Registry or Artifact Registry uri where the
        * Model container image will be copied to.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `IMAGE`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -1375,8 +1375,8 @@ public boolean hasImageDestination() {
        * <pre>
        * The Google Container Registry or Artifact Registry uri where the
        * Model container image will be copied to.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `IMAGE`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -1401,8 +1401,8 @@ public boolean hasImageDestination() {
        * <pre>
        * The Google Container Registry or Artifact Registry uri where the
        * Model container image will be copied to.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `IMAGE`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -1428,8 +1428,8 @@ public Builder setImageDestination(
        * <pre>
        * The Google Container Registry or Artifact Registry uri where the
        * Model container image will be copied to.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `IMAGE`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -1453,8 +1453,8 @@ public Builder setImageDestination(
        * <pre>
        * The Google Container Registry or Artifact Registry uri where the
        * Model container image will be copied to.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `IMAGE`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -1485,8 +1485,8 @@ public Builder mergeImageDestination(
        * <pre>
        * The Google Container Registry or Artifact Registry uri where the
        * Model container image will be copied to.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `IMAGE`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -1509,8 +1509,8 @@ public Builder clearImageDestination() {
        * <pre>
        * The Google Container Registry or Artifact Registry uri where the
        * Model container image will be copied to.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `IMAGE`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -1528,8 +1528,8 @@ public Builder clearImageDestination() {
        * <pre>
        * The Google Container Registry or Artifact Registry uri where the
        * Model container image will be copied to.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `IMAGE`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
@@ -1552,8 +1552,8 @@ public Builder clearImageDestination() {
        * <pre>
        * The Google Container Registry or Artifact Registry uri where the
        * Model container image will be copied to.
-       * This field should only be set when
-       * [Models.supported_export_formats.exportable_contents] contains IMAGE.
+       * This field should only be set when the `exportableContent` field of the
+       * [Model.supported_export_formats] object contains `IMAGE`.
        * </pre>
        *
        * <code>.google.cloud.aiplatform.v1beta1.ContainerRegistryDestination image_destination = 4;
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplit.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplit.java
index ec7a1316b..b76ec6200 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplit.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplit.java
@@ -27,6 +27,7 @@
  * supported for Datasets containing DataItems.
  * If any of the filters in this message are to match nothing, then they can be
  * set as '-' (the minus sign).
+ * Supported only for unstructured Datasets.
  * </pre>
  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.FilterSplit}
@@ -141,7 +142,7 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    * this filter are used to train the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it will be assigned to the first set that applies to it in the
+   * then it is assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -169,7 +170,7 @@ public java.lang.String getTrainingFilter() {
    * this filter are used to train the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it will be assigned to the first set that applies to it in the
+   * then it is assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -200,7 +201,7 @@ public com.google.protobuf.ByteString getTrainingFilterBytes() {
    * this filter are used to validate the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it will be assigned to the first set that applies to it in the
+   * then it is assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -228,7 +229,7 @@ public java.lang.String getValidationFilter() {
    * this filter are used to validate the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it will be assigned to the first set that applies to it in the
+   * then it is assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -259,7 +260,7 @@ public com.google.protobuf.ByteString getValidationFilterBytes() {
    * this filter are used to test the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it will be assigned to the first set that applies to it in the
+   * then it is assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -287,7 +288,7 @@ public java.lang.String getTestFilter() {
    * this filter are used to test the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it will be assigned to the first set that applies to it in the
+   * then it is assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -494,6 +495,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    * supported for Datasets containing DataItems.
    * If any of the filters in this message are to match nothing, then they can be
    * set as '-' (the minus sign).
+   * Supported only for unstructured Datasets.
    * </pre>
    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.FilterSplit}
@@ -670,7 +672,7 @@ public Builder mergeFrom(
      * this filter are used to train the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -697,7 +699,7 @@ public java.lang.String getTrainingFilter() {
      * this filter are used to train the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -724,7 +726,7 @@ public com.google.protobuf.ByteString getTrainingFilterBytes() {
      * this filter are used to train the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -750,7 +752,7 @@ public Builder setTrainingFilter(java.lang.String value) {
      * this filter are used to train the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -772,7 +774,7 @@ public Builder clearTrainingFilter() {
      * this filter are used to train the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -801,7 +803,7 @@ public Builder setTrainingFilterBytes(com.google.protobuf.ByteString value) {
      * this filter are used to validate the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -828,7 +830,7 @@ public java.lang.String getValidationFilter() {
      * this filter are used to validate the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -855,7 +857,7 @@ public com.google.protobuf.ByteString getValidationFilterBytes() {
      * this filter are used to validate the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -881,7 +883,7 @@ public Builder setValidationFilter(java.lang.String value) {
      * this filter are used to validate the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -903,7 +905,7 @@ public Builder clearValidationFilter() {
      * this filter are used to validate the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -932,7 +934,7 @@ public Builder setValidationFilterBytes(com.google.protobuf.ByteString value) {
      * this filter are used to test the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -959,7 +961,7 @@ public java.lang.String getTestFilter() {
      * this filter are used to test the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -986,7 +988,7 @@ public com.google.protobuf.ByteString getTestFilterBytes() {
      * this filter are used to test the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -1012,7 +1014,7 @@ public Builder setTestFilter(java.lang.String value) {
      * this filter are used to test the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
@@ -1034,7 +1036,7 @@ public Builder clearTestFilter() {
      * this filter are used to test the Model. A filter with same syntax
      * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
      * single DataItem is matched by more than one of the FilterSplit filters,
-     * then it will be assigned to the first set that applies to it in the
+     * then it is assigned to the first set that applies to it in the
      * training, validation, test order.
      * </pre>
      *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplitOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplitOrBuilder.java
index 1ea8fdbbd..b859b4ca0 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplitOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FilterSplitOrBuilder.java
@@ -31,7 +31,7 @@ public interface FilterSplitOrBuilder
    * this filter are used to train the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it will be assigned to the first set that applies to it in the
+   * then it is assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -48,7 +48,7 @@ public interface FilterSplitOrBuilder
    * this filter are used to train the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it will be assigned to the first set that applies to it in the
+   * then it is assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -66,7 +66,7 @@ public interface FilterSplitOrBuilder
    * this filter are used to validate the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it will be assigned to the first set that applies to it in the
+   * then it is assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -83,7 +83,7 @@ public interface FilterSplitOrBuilder
    * this filter are used to validate the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it will be assigned to the first set that applies to it in the
+   * then it is assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -101,7 +101,7 @@ public interface FilterSplitOrBuilder
    * this filter are used to test the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it will be assigned to the first set that applies to it in the
+   * then it is assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
@@ -118,7 +118,7 @@ public interface FilterSplitOrBuilder
    * this filter are used to test the Model. A filter with same syntax
    * as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
    * single DataItem is matched by more than one of the FilterSplit filters,
-   * then it will be assigned to the first set that applies to it in the
+   * then it is assigned to the first set that applies to it in the
    * training, validation, test order.
    * </pre>
    *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FractionSplit.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FractionSplit.java
index 5f81ef874..090e468b4 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FractionSplit.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/FractionSplit.java
@@ -27,7 +27,7 @@
  * `test_fraction` may optionally be provided, they must sum to up to 1. If the
  * provided ones sum to less than 1, the remainder is assigned to sets as
  * decided by AI Platform. If none of the fractions are set, by default roughly
- * 80% of data will be used for training, 10% for validation, and 10% for test.
+ * 80% of data is used for training, 10% for validation, and 10% for test.
  * </pre>
  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.FractionSplit}
@@ -374,7 +374,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    * `test_fraction` may optionally be provided, they must sum to up to 1. If the
    * provided ones sum to less than 1, the remainder is assigned to sets as
    * decided by AI Platform. If none of the fractions are set, by default roughly
-   * 80% of data will be used for training, 10% for validation, and 10% for test.
+   * 80% of data is used for training, 10% for validation, and 10% for test.
    * </pre>
    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.FractionSplit}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJob.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJob.java
index 69a860a4e..cd90bc6c8 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJob.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJob.java
@@ -241,6 +241,23 @@ private HyperparameterTuningJob(
                   input.readMessage(
                       LabelsDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry);
               labels_.getMutableMap().put(labels__.getKey(), labels__.getValue());
+              break;
+            }
+          case 138:
+            {
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder subBuilder = null;
+              if (encryptionSpec_ != null) {
+                subBuilder = encryptionSpec_.toBuilder();
+              }
+              encryptionSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1beta1.EncryptionSpec.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(encryptionSpec_);
+                encryptionSpec_ = subBuilder.buildPartial();
+              }
+
               break;
             }
           default:
@@ -1045,6 +1062,60 @@ public java.lang.String getLabelsOrThrow(java.lang.String key) {
     return map.get(key);
   }
 
+  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 17;
+  private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a HyperparameterTuningJob.
+   * If this is set, then all resources created by the HyperparameterTuningJob
+   * will be encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasEncryptionSpec() {
+    return encryptionSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a HyperparameterTuningJob.
+   * If this is set, then all resources created by the HyperparameterTuningJob
+   * will be encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+    return encryptionSpec_ == null
+        ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+        : encryptionSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a HyperparameterTuningJob.
+   * If this is set, then all resources created by the HyperparameterTuningJob
+   * will be encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+    return getEncryptionSpec();
+  }
+
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -1103,6 +1174,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     }
     com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
         output, internalGetLabels(), LabelsDefaultEntryHolder.defaultEntry, 16);
+    if (encryptionSpec_ != null) {
+      output.writeMessage(17, getEncryptionSpec());
+    }
     unknownFields.writeTo(output);
   }
 
@@ -1164,6 +1238,9 @@ public int getSerializedSize() {
               .build();
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(16, labels__);
     }
+    if (encryptionSpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(17, getEncryptionSpec());
+    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -1216,6 +1293,10 @@ public boolean equals(final java.lang.Object obj) {
       if (!getError().equals(other.getError())) return false;
     }
     if (!internalGetLabels().equals(other.internalGetLabels())) return false;
+    if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
+    if (hasEncryptionSpec()) {
+      if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
+    }
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -1275,6 +1356,10 @@ public int hashCode() {
       hash = (37 * hash) + LABELS_FIELD_NUMBER;
       hash = (53 * hash) + internalGetLabels().hashCode();
     }
+    if (hasEncryptionSpec()) {
+      hash = (37 * hash) + ENCRYPTION_SPEC_FIELD_NUMBER;
+      hash = (53 * hash) + getEncryptionSpec().hashCode();
+    }
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -1506,6 +1591,12 @@ public Builder clear() {
         errorBuilder_ = null;
       }
       internalGetMutableLabels().clear();
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
       return this;
     }
 
@@ -1586,6 +1677,11 @@ public com.google.cloud.aiplatform.v1beta1.HyperparameterTuningJob buildPartial(
       }
       result.labels_ = internalGetLabels();
       result.labels_.makeImmutable();
+      if (encryptionSpecBuilder_ == null) {
+        result.encryptionSpec_ = encryptionSpec_;
+      } else {
+        result.encryptionSpec_ = encryptionSpecBuilder_.build();
+      }
       onBuilt();
       return result;
     }
@@ -1705,6 +1801,9 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.HyperparameterTunin
         mergeError(other.getError());
       }
       internalGetMutableLabels().mergeFrom(other.internalGetLabels());
+      if (other.hasEncryptionSpec()) {
+        mergeEncryptionSpec(other.getEncryptionSpec());
+      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -4199,6 +4298,211 @@ public Builder putAllLabels(java.util.Map<java.lang.String, java.lang.String> va
       return this;
     }
 
+    private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        encryptionSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a HyperparameterTuningJob.
+     * If this is set, then all resources created by the HyperparameterTuningJob
+     * will be encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+     *
+     * @return Whether the encryptionSpec field is set.
+     */
+    public boolean hasEncryptionSpec() {
+      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a HyperparameterTuningJob.
+     * If this is set, then all resources created by the HyperparameterTuningJob
+     * will be encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+     *
+     * @return The encryptionSpec.
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      } else {
+        return encryptionSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a HyperparameterTuningJob.
+     * If this is set, then all resources created by the HyperparameterTuningJob
+     * will be encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+     */
+    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        encryptionSpec_ = value;
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a HyperparameterTuningJob.
+     * If this is set, then all resources created by the HyperparameterTuningJob
+     * will be encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+     */
+    public Builder setEncryptionSpec(
+        com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder builderForValue) {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a HyperparameterTuningJob.
+     * If this is set, then all resources created by the HyperparameterTuningJob
+     * will be encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+     */
+    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (encryptionSpec_ != null) {
+          encryptionSpec_ =
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.newBuilder(encryptionSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          encryptionSpec_ = value;
+        }
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a HyperparameterTuningJob.
+     * If this is set, then all resources created by the HyperparameterTuningJob
+     * will be encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+     */
+    public Builder clearEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+        onChanged();
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a HyperparameterTuningJob.
+     * If this is set, then all resources created by the HyperparameterTuningJob
+     * will be encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
+
+      onChanged();
+      return getEncryptionSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a HyperparameterTuningJob.
+     * If this is set, then all resources created by the HyperparameterTuningJob
+     * will be encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder
+        getEncryptionSpecOrBuilder() {
+      if (encryptionSpecBuilder_ != null) {
+        return encryptionSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key options for a HyperparameterTuningJob.
+     * If this is set, then all resources created by the HyperparameterTuningJob
+     * will be encrypted with the provided encryption key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        getEncryptionSpecFieldBuilder() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>(
+                getEncryptionSpec(), getParentForChildren(), isClean());
+        encryptionSpec_ = null;
+      }
+      return encryptionSpecBuilder_;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobOrBuilder.java
index 7634369d1..8de927964 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobOrBuilder.java
@@ -564,4 +564,45 @@ public interface HyperparameterTuningJobOrBuilder
    * <code>map&lt;string, string&gt; labels = 16;</code>
    */
   java.lang.String getLabelsOrThrow(java.lang.String key);
+
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a HyperparameterTuningJob.
+   * If this is set, then all resources created by the HyperparameterTuningJob
+   * will be encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  boolean hasEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a HyperparameterTuningJob.
+   * If this is set, then all resources created by the HyperparameterTuningJob
+   * will be encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key options for a HyperparameterTuningJob.
+   * If this is set, then all resources created by the HyperparameterTuningJob
+   * will be encrypted with the provided encryption key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 17;</code>
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobProto.java
index d96f4404b..fac475138 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/HyperparameterTuningJobProto.java
@@ -49,40 +49,43 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "aiplatform.v1beta1\032\037google/api/field_beh"
           + "avior.proto\032\031google/api/resource.proto\0320"
           + "google/cloud/aiplatform/v1beta1/custom_j"
-          + "ob.proto\032/google/cloud/aiplatform/v1beta"
-          + "1/job_state.proto\032+google/cloud/aiplatfo"
-          + "rm/v1beta1/study.proto\032\037google/protobuf/"
-          + "timestamp.proto\032\027google/rpc/status.proto"
-          + "\032\034google/api/annotations.proto\"\317\007\n\027Hyper"
-          + "parameterTuningJob\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031\n"
-          + "\014display_name\030\002 \001(\tB\003\340A\002\022C\n\nstudy_spec\030\004"
-          + " \001(\0132*.google.cloud.aiplatform.v1beta1.S"
-          + "tudySpecB\003\340A\002\022\034\n\017max_trial_count\030\005 \001(\005B\003"
-          + "\340A\002\022!\n\024parallel_trial_count\030\006 \001(\005B\003\340A\002\022\036"
-          + "\n\026max_failed_trial_count\030\007 \001(\005\022K\n\016trial_"
-          + "job_spec\030\010 \001(\0132..google.cloud.aiplatform"
-          + ".v1beta1.CustomJobSpecB\003\340A\002\022;\n\006trials\030\t "
-          + "\003(\0132&.google.cloud.aiplatform.v1beta1.Tr"
-          + "ialB\003\340A\003\022=\n\005state\030\n \001(\0162).google.cloud.a"
-          + "iplatform.v1beta1.JobStateB\003\340A\003\0224\n\013creat"
-          + "e_time\030\013 \001(\0132\032.google.protobuf.Timestamp"
-          + "B\003\340A\003\0223\n\nstart_time\030\014 \001(\0132\032.google.proto"
-          + "buf.TimestampB\003\340A\003\0221\n\010end_time\030\r \001(\0132\032.g"
-          + "oogle.protobuf.TimestampB\003\340A\003\0224\n\013update_"
-          + "time\030\016 \001(\0132\032.google.protobuf.TimestampB\003"
-          + "\340A\003\022&\n\005error\030\017 \001(\0132\022.google.rpc.StatusB\003"
-          + "\340A\003\022T\n\006labels\030\020 \003(\0132D.google.cloud.aipla"
-          + "tform.v1beta1.HyperparameterTuningJob.La"
-          + "belsEntry\032-\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n"
-          + "\005value\030\002 \001(\t:\0028\001:\225\001\352A\221\001\n1aiplatform.goog"
-          + "leapis.com/HyperparameterTuningJob\022\\proj"
-          + "ects/{project}/locations/{location}/hype"
-          + "rparameterTuningJobs/{hyperparameter_tun"
-          + "ing_job}B\220\001\n#com.google.cloud.aiplatform"
-          + ".v1beta1B\034HyperparameterTuningJobProtoP\001"
-          + "ZIgoogle.golang.org/genproto/googleapis/"
-          + "cloud/aiplatform/v1beta1;aiplatformb\006pro"
-          + "to3"
+          + "ob.proto\0325google/cloud/aiplatform/v1beta"
+          + "1/encryption_spec.proto\032/google/cloud/ai"
+          + "platform/v1beta1/job_state.proto\032+google"
+          + "/cloud/aiplatform/v1beta1/study.proto\032\037g"
+          + "oogle/protobuf/timestamp.proto\032\027google/r"
+          + "pc/status.proto\032\034google/api/annotations."
+          + "proto\"\231\010\n\027HyperparameterTuningJob\022\021\n\004nam"
+          + "e\030\001 \001(\tB\003\340A\003\022\031\n\014display_name\030\002 \001(\tB\003\340A\002\022"
+          + "C\n\nstudy_spec\030\004 \001(\0132*.google.cloud.aipla"
+          + "tform.v1beta1.StudySpecB\003\340A\002\022\034\n\017max_tria"
+          + "l_count\030\005 \001(\005B\003\340A\002\022!\n\024parallel_trial_cou"
+          + "nt\030\006 \001(\005B\003\340A\002\022\036\n\026max_failed_trial_count\030"
+          + "\007 \001(\005\022K\n\016trial_job_spec\030\010 \001(\0132..google.c"
+          + "loud.aiplatform.v1beta1.CustomJobSpecB\003\340"
+          + "A\002\022;\n\006trials\030\t \003(\0132&.google.cloud.aiplat"
+          + "form.v1beta1.TrialB\003\340A\003\022=\n\005state\030\n \001(\0162)"
+          + ".google.cloud.aiplatform.v1beta1.JobStat"
+          + "eB\003\340A\003\0224\n\013create_time\030\013 \001(\0132\032.google.pro"
+          + "tobuf.TimestampB\003\340A\003\0223\n\nstart_time\030\014 \001(\013"
+          + "2\032.google.protobuf.TimestampB\003\340A\003\0221\n\010end"
+          + "_time\030\r \001(\0132\032.google.protobuf.TimestampB"
+          + "\003\340A\003\0224\n\013update_time\030\016 \001(\0132\032.google.proto"
+          + "buf.TimestampB\003\340A\003\022&\n\005error\030\017 \001(\0132\022.goog"
+          + "le.rpc.StatusB\003\340A\003\022T\n\006labels\030\020 \003(\0132D.goo"
+          + "gle.cloud.aiplatform.v1beta1.Hyperparame"
+          + "terTuningJob.LabelsEntry\022H\n\017encryption_s"
+          + "pec\030\021 \001(\0132/.google.cloud.aiplatform.v1be"
+          + "ta1.EncryptionSpec\032-\n\013LabelsEntry\022\013\n\003key"
+          + "\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001:\225\001\352A\221\001\n1aiplat"
+          + "form.googleapis.com/HyperparameterTuning"
+          + "Job\022\\projects/{project}/locations/{locat"
+          + "ion}/hyperparameterTuningJobs/{hyperpara"
+          + "meter_tuning_job}B\220\001\n#com.google.cloud.a"
+          + "iplatform.v1beta1B\034HyperparameterTuningJ"
+          + "obProtoP\001ZIgoogle.golang.org/genproto/go"
+          + "ogleapis/cloud/aiplatform/v1beta1;aiplat"
+          + "formb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -91,6 +94,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               com.google.api.FieldBehaviorProto.getDescriptor(),
               com.google.api.ResourceProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.CustomJobProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.JobStateProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.StudyProto.getDescriptor(),
               com.google.protobuf.TimestampProto.getDescriptor(),
@@ -118,6 +122,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "UpdateTime",
               "Error",
               "Labels",
+              "EncryptionSpec",
             });
     internal_static_google_cloud_aiplatform_v1beta1_HyperparameterTuningJob_LabelsEntry_descriptor =
         internal_static_google_cloud_aiplatform_v1beta1_HyperparameterTuningJob_descriptor
@@ -138,6 +143,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     com.google.api.FieldBehaviorProto.getDescriptor();
     com.google.api.ResourceProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.CustomJobProto.getDescriptor();
+    com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.JobStateProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.StudyProto.getDescriptor();
     com.google.protobuf.TimestampProto.getDescriptor();
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfig.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfig.java
index 3b6605cc0..eb71199dc 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfig.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfig.java
@@ -553,17 +553,17 @@ public com.google.cloud.aiplatform.v1beta1.TimestampSplitOrBuilder getTimestampS
    *
    *
    * <pre>
-   * The Google Cloud Storage location where the training data is to be
-   * written to. In the given directory a new directory will be created with
+   * The Cloud Storage location where the training data is to be
+   * written to. In the given directory a new directory is created with
    * name:
    * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-   * All training input data will be written into that directory.
-   * The AI Platform environment variables representing Google Cloud Storage
-   * data URIs will always be represented in the Google Cloud Storage wildcard
+   * All training input data is written into that directory.
+   * The AI Platform environment variables representing Cloud Storage
+   * data URIs are represented in the Cloud Storage wildcard
    * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
    * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-   * * AIP_TRAINING_DATA_URI  =
+   * * AIP_TRAINING_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
    * * AIP_VALIDATION_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -583,17 +583,17 @@ public boolean hasGcsDestination() {
    *
    *
    * <pre>
-   * The Google Cloud Storage location where the training data is to be
-   * written to. In the given directory a new directory will be created with
+   * The Cloud Storage location where the training data is to be
+   * written to. In the given directory a new directory is created with
    * name:
    * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-   * All training input data will be written into that directory.
-   * The AI Platform environment variables representing Google Cloud Storage
-   * data URIs will always be represented in the Google Cloud Storage wildcard
+   * All training input data is written into that directory.
+   * The AI Platform environment variables representing Cloud Storage
+   * data URIs are represented in the Cloud Storage wildcard
    * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
    * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-   * * AIP_TRAINING_DATA_URI  =
+   * * AIP_TRAINING_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
    * * AIP_VALIDATION_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -616,17 +616,17 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getGcsDestination() {
    *
    *
    * <pre>
-   * The Google Cloud Storage location where the training data is to be
-   * written to. In the given directory a new directory will be created with
+   * The Cloud Storage location where the training data is to be
+   * written to. In the given directory a new directory is created with
    * name:
    * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-   * All training input data will be written into that directory.
-   * The AI Platform environment variables representing Google Cloud Storage
-   * data URIs will always be represented in the Google Cloud Storage wildcard
+   * All training input data is written into that directory.
+   * The AI Platform environment variables representing Cloud Storage
+   * data URIs are represented in the Cloud Storage wildcard
    * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
    * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-   * * AIP_TRAINING_DATA_URI  =
+   * * AIP_TRAINING_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
    * * AIP_VALIDATION_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -649,12 +649,14 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestinationOrBuilder getGcsDestina
    *
    *
    * <pre>
+   * Only applicable to custom training with tabular Dataset with BigQuery
+   * source.
    * The BigQuery project location where the training data is to be written
    * to. In the given project a new dataset is created with name
    * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-   * input data will be written into that dataset. In the dataset three
-   * tables will be created, `training`, `validation` and `test`.
+   * input data is written into that dataset. In the dataset three
+   * tables are created, `training`, `validation` and `test`.
    * * AIP_DATA_FORMAT = "bigquery".
    * * AIP_TRAINING_DATA_URI  =
    * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -676,12 +678,14 @@ public boolean hasBigqueryDestination() {
    *
    *
    * <pre>
+   * Only applicable to custom training with tabular Dataset with BigQuery
+   * source.
    * The BigQuery project location where the training data is to be written
    * to. In the given project a new dataset is created with name
    * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-   * input data will be written into that dataset. In the dataset three
-   * tables will be created, `training`, `validation` and `test`.
+   * input data is written into that dataset. In the dataset three
+   * tables are created, `training`, `validation` and `test`.
    * * AIP_DATA_FORMAT = "bigquery".
    * * AIP_TRAINING_DATA_URI  =
    * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -706,12 +710,14 @@ public com.google.cloud.aiplatform.v1beta1.BigQueryDestination getBigqueryDestin
    *
    *
    * <pre>
+   * Only applicable to custom training with tabular Dataset with BigQuery
+   * source.
    * The BigQuery project location where the training data is to be written
    * to. In the given project a new dataset is created with name
    * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-   * input data will be written into that dataset. In the dataset three
-   * tables will be created, `training`, `validation` and `test`.
+   * input data is written into that dataset. In the dataset three
+   * tables are created, `training`, `validation` and `test`.
    * * AIP_DATA_FORMAT = "bigquery".
    * * AIP_TRAINING_DATA_URI  =
    * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -799,7 +805,7 @@ public com.google.protobuf.ByteString getDatasetIdBytes() {
    *
    *
    * <pre>
-   * Only applicable to Datasets that have DataItems and Annotations.
+   * Applicable only to Datasets that have DataItems and Annotations.
    * A filter on Annotations of the Dataset. Only Annotations that both
    * match this filter and belong to DataItems not ignored by the split method
    * are used in respectively training, validation or test role, depending on
@@ -830,7 +836,7 @@ public java.lang.String getAnnotationsFilter() {
    *
    *
    * <pre>
-   * Only applicable to Datasets that have DataItems and Annotations.
+   * Applicable only to Datasets that have DataItems and Annotations.
    * A filter on Annotations of the Dataset. Only Annotations that both
    * match this filter and belong to DataItems not ignored by the split method
    * are used in respectively training, validation or test role, depending on
@@ -864,14 +870,13 @@ public com.google.protobuf.ByteString getAnnotationsFilterBytes() {
    *
    *
    * <pre>
-   * Only applicable to custom training.
-   * Google Cloud Storage URI points to a YAML file describing annotation
-   * schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
-   * https:
-   * //github.com/OAI/OpenAPI-Specification/b
-   * // lob/master/versions/3.0.2.md#schema-object)
+   * Applicable only to custom training with Datasets that have DataItems and
+   * Annotations.
+   * Cloud Storage URI that points to a YAML file describing the annotation
+   * schema. The schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
    * The schema files that can be used here are found in
-   * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+   * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
    * chosen schema must be consistent with
    * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
    * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
@@ -903,14 +908,13 @@ public java.lang.String getAnnotationSchemaUri() {
    *
    *
    * <pre>
-   * Only applicable to custom training.
-   * Google Cloud Storage URI points to a YAML file describing annotation
-   * schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
-   * https:
-   * //github.com/OAI/OpenAPI-Specification/b
-   * // lob/master/versions/3.0.2.md#schema-object)
+   * Applicable only to custom training with Datasets that have DataItems and
+   * Annotations.
+   * Cloud Storage URI that points to a YAML file describing the annotation
+   * schema. The schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
    * The schema files that can be used here are found in
-   * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+   * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
    * chosen schema must be consistent with
    * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
    * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
@@ -2382,17 +2386,17 @@ public com.google.cloud.aiplatform.v1beta1.TimestampSplit.Builder getTimestampSp
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the training data is to be
-     * written to. In the given directory a new directory will be created with
+     * The Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory is created with
      * name:
      * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-     * All training input data will be written into that directory.
-     * The AI Platform environment variables representing Google Cloud Storage
-     * data URIs will always be represented in the Google Cloud Storage wildcard
+     * All training input data is written into that directory.
+     * The AI Platform environment variables representing Cloud Storage
+     * data URIs are represented in the Cloud Storage wildcard
      * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
      * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-     * * AIP_TRAINING_DATA_URI  =
+     * * AIP_TRAINING_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
      * * AIP_VALIDATION_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -2412,17 +2416,17 @@ public boolean hasGcsDestination() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the training data is to be
-     * written to. In the given directory a new directory will be created with
+     * The Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory is created with
      * name:
      * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-     * All training input data will be written into that directory.
-     * The AI Platform environment variables representing Google Cloud Storage
-     * data URIs will always be represented in the Google Cloud Storage wildcard
+     * All training input data is written into that directory.
+     * The AI Platform environment variables representing Cloud Storage
+     * data URIs are represented in the Cloud Storage wildcard
      * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
      * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-     * * AIP_TRAINING_DATA_URI  =
+     * * AIP_TRAINING_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
      * * AIP_VALIDATION_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -2452,17 +2456,17 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination getGcsDestination() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the training data is to be
-     * written to. In the given directory a new directory will be created with
+     * The Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory is created with
      * name:
      * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-     * All training input data will be written into that directory.
-     * The AI Platform environment variables representing Google Cloud Storage
-     * data URIs will always be represented in the Google Cloud Storage wildcard
+     * All training input data is written into that directory.
+     * The AI Platform environment variables representing Cloud Storage
+     * data URIs are represented in the Cloud Storage wildcard
      * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
      * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-     * * AIP_TRAINING_DATA_URI  =
+     * * AIP_TRAINING_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
      * * AIP_VALIDATION_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -2489,17 +2493,17 @@ public Builder setGcsDestination(com.google.cloud.aiplatform.v1beta1.GcsDestinat
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the training data is to be
-     * written to. In the given directory a new directory will be created with
+     * The Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory is created with
      * name:
      * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-     * All training input data will be written into that directory.
-     * The AI Platform environment variables representing Google Cloud Storage
-     * data URIs will always be represented in the Google Cloud Storage wildcard
+     * All training input data is written into that directory.
+     * The AI Platform environment variables representing Cloud Storage
+     * data URIs are represented in the Cloud Storage wildcard
      * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
      * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-     * * AIP_TRAINING_DATA_URI  =
+     * * AIP_TRAINING_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
      * * AIP_VALIDATION_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -2524,17 +2528,17 @@ public Builder setGcsDestination(
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the training data is to be
-     * written to. In the given directory a new directory will be created with
+     * The Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory is created with
      * name:
      * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-     * All training input data will be written into that directory.
-     * The AI Platform environment variables representing Google Cloud Storage
-     * data URIs will always be represented in the Google Cloud Storage wildcard
+     * All training input data is written into that directory.
+     * The AI Platform environment variables representing Cloud Storage
+     * data URIs are represented in the Cloud Storage wildcard
      * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
      * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-     * * AIP_TRAINING_DATA_URI  =
+     * * AIP_TRAINING_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
      * * AIP_VALIDATION_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -2571,17 +2575,17 @@ public Builder mergeGcsDestination(com.google.cloud.aiplatform.v1beta1.GcsDestin
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the training data is to be
-     * written to. In the given directory a new directory will be created with
+     * The Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory is created with
      * name:
      * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-     * All training input data will be written into that directory.
-     * The AI Platform environment variables representing Google Cloud Storage
-     * data URIs will always be represented in the Google Cloud Storage wildcard
+     * All training input data is written into that directory.
+     * The AI Platform environment variables representing Cloud Storage
+     * data URIs are represented in the Cloud Storage wildcard
      * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
      * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-     * * AIP_TRAINING_DATA_URI  =
+     * * AIP_TRAINING_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
      * * AIP_VALIDATION_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -2611,17 +2615,17 @@ public Builder clearGcsDestination() {
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the training data is to be
-     * written to. In the given directory a new directory will be created with
+     * The Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory is created with
      * name:
      * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-     * All training input data will be written into that directory.
-     * The AI Platform environment variables representing Google Cloud Storage
-     * data URIs will always be represented in the Google Cloud Storage wildcard
+     * All training input data is written into that directory.
+     * The AI Platform environment variables representing Cloud Storage
+     * data URIs are represented in the Cloud Storage wildcard
      * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
      * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-     * * AIP_TRAINING_DATA_URI  =
+     * * AIP_TRAINING_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
      * * AIP_VALIDATION_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -2638,17 +2642,17 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination.Builder getGcsDestinat
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the training data is to be
-     * written to. In the given directory a new directory will be created with
+     * The Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory is created with
      * name:
      * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-     * All training input data will be written into that directory.
-     * The AI Platform environment variables representing Google Cloud Storage
-     * data URIs will always be represented in the Google Cloud Storage wildcard
+     * All training input data is written into that directory.
+     * The AI Platform environment variables representing Cloud Storage
+     * data URIs are represented in the Cloud Storage wildcard
      * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
      * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-     * * AIP_TRAINING_DATA_URI  =
+     * * AIP_TRAINING_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
      * * AIP_VALIDATION_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -2674,17 +2678,17 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination.Builder getGcsDestinat
      *
      *
      * <pre>
-     * The Google Cloud Storage location where the training data is to be
-     * written to. In the given directory a new directory will be created with
+     * The Cloud Storage location where the training data is to be
+     * written to. In the given directory a new directory is created with
      * name:
      * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-     * All training input data will be written into that directory.
-     * The AI Platform environment variables representing Google Cloud Storage
-     * data URIs will always be represented in the Google Cloud Storage wildcard
+     * All training input data is written into that directory.
+     * The AI Platform environment variables representing Cloud Storage
+     * data URIs are represented in the Cloud Storage wildcard
      * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
      * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-     * * AIP_TRAINING_DATA_URI  =
+     * * AIP_TRAINING_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
      * * AIP_VALIDATION_DATA_URI =
      * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -2728,12 +2732,14 @@ public com.google.cloud.aiplatform.v1beta1.GcsDestination.Builder getGcsDestinat
      *
      *
      * <pre>
+     * Only applicable to custom training with tabular Dataset with BigQuery
+     * source.
      * The BigQuery project location where the training data is to be written
      * to. In the given project a new dataset is created with name
      * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-     * input data will be written into that dataset. In the dataset three
-     * tables will be created, `training`, `validation` and `test`.
+     * input data is written into that dataset. In the dataset three
+     * tables are created, `training`, `validation` and `test`.
      * * AIP_DATA_FORMAT = "bigquery".
      * * AIP_TRAINING_DATA_URI  =
      * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -2755,12 +2761,14 @@ public boolean hasBigqueryDestination() {
      *
      *
      * <pre>
+     * Only applicable to custom training with tabular Dataset with BigQuery
+     * source.
      * The BigQuery project location where the training data is to be written
      * to. In the given project a new dataset is created with name
      * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-     * input data will be written into that dataset. In the dataset three
-     * tables will be created, `training`, `validation` and `test`.
+     * input data is written into that dataset. In the dataset three
+     * tables are created, `training`, `validation` and `test`.
      * * AIP_DATA_FORMAT = "bigquery".
      * * AIP_TRAINING_DATA_URI  =
      * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -2792,12 +2800,14 @@ public com.google.cloud.aiplatform.v1beta1.BigQueryDestination getBigqueryDestin
      *
      *
      * <pre>
+     * Only applicable to custom training with tabular Dataset with BigQuery
+     * source.
      * The BigQuery project location where the training data is to be written
      * to. In the given project a new dataset is created with name
      * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-     * input data will be written into that dataset. In the dataset three
-     * tables will be created, `training`, `validation` and `test`.
+     * input data is written into that dataset. In the dataset three
+     * tables are created, `training`, `validation` and `test`.
      * * AIP_DATA_FORMAT = "bigquery".
      * * AIP_TRAINING_DATA_URI  =
      * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -2827,12 +2837,14 @@ public Builder setBigqueryDestination(
      *
      *
      * <pre>
+     * Only applicable to custom training with tabular Dataset with BigQuery
+     * source.
      * The BigQuery project location where the training data is to be written
      * to. In the given project a new dataset is created with name
      * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-     * input data will be written into that dataset. In the dataset three
-     * tables will be created, `training`, `validation` and `test`.
+     * input data is written into that dataset. In the dataset three
+     * tables are created, `training`, `validation` and `test`.
      * * AIP_DATA_FORMAT = "bigquery".
      * * AIP_TRAINING_DATA_URI  =
      * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -2859,12 +2871,14 @@ public Builder setBigqueryDestination(
      *
      *
      * <pre>
+     * Only applicable to custom training with tabular Dataset with BigQuery
+     * source.
      * The BigQuery project location where the training data is to be written
      * to. In the given project a new dataset is created with name
      * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-     * input data will be written into that dataset. In the dataset three
-     * tables will be created, `training`, `validation` and `test`.
+     * input data is written into that dataset. In the dataset three
+     * tables are created, `training`, `validation` and `test`.
      * * AIP_DATA_FORMAT = "bigquery".
      * * AIP_TRAINING_DATA_URI  =
      * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -2904,12 +2918,14 @@ public Builder mergeBigqueryDestination(
      *
      *
      * <pre>
+     * Only applicable to custom training with tabular Dataset with BigQuery
+     * source.
      * The BigQuery project location where the training data is to be written
      * to. In the given project a new dataset is created with name
      * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-     * input data will be written into that dataset. In the dataset three
-     * tables will be created, `training`, `validation` and `test`.
+     * input data is written into that dataset. In the dataset three
+     * tables are created, `training`, `validation` and `test`.
      * * AIP_DATA_FORMAT = "bigquery".
      * * AIP_TRAINING_DATA_URI  =
      * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -2941,12 +2957,14 @@ public Builder clearBigqueryDestination() {
      *
      *
      * <pre>
+     * Only applicable to custom training with tabular Dataset with BigQuery
+     * source.
      * The BigQuery project location where the training data is to be written
      * to. In the given project a new dataset is created with name
      * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-     * input data will be written into that dataset. In the dataset three
-     * tables will be created, `training`, `validation` and `test`.
+     * input data is written into that dataset. In the dataset three
+     * tables are created, `training`, `validation` and `test`.
      * * AIP_DATA_FORMAT = "bigquery".
      * * AIP_TRAINING_DATA_URI  =
      * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -2966,12 +2984,14 @@ public Builder clearBigqueryDestination() {
      *
      *
      * <pre>
+     * Only applicable to custom training with tabular Dataset with BigQuery
+     * source.
      * The BigQuery project location where the training data is to be written
      * to. In the given project a new dataset is created with name
      * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-     * input data will be written into that dataset. In the dataset three
-     * tables will be created, `training`, `validation` and `test`.
+     * input data is written into that dataset. In the dataset three
+     * tables are created, `training`, `validation` and `test`.
      * * AIP_DATA_FORMAT = "bigquery".
      * * AIP_TRAINING_DATA_URI  =
      * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -2999,12 +3019,14 @@ public Builder clearBigqueryDestination() {
      *
      *
      * <pre>
+     * Only applicable to custom training with tabular Dataset with BigQuery
+     * source.
      * The BigQuery project location where the training data is to be written
      * to. In the given project a new dataset is created with name
      * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
      * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-     * input data will be written into that dataset. In the dataset three
-     * tables will be created, `training`, `validation` and `test`.
+     * input data is written into that dataset. In the dataset three
+     * tables are created, `training`, `validation` and `test`.
      * * AIP_DATA_FORMAT = "bigquery".
      * * AIP_TRAINING_DATA_URI  =
      * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -3183,7 +3205,7 @@ public Builder setDatasetIdBytes(com.google.protobuf.ByteString value) {
      *
      *
      * <pre>
-     * Only applicable to Datasets that have DataItems and Annotations.
+     * Applicable only to Datasets that have DataItems and Annotations.
      * A filter on Annotations of the Dataset. Only Annotations that both
      * match this filter and belong to DataItems not ignored by the split method
      * are used in respectively training, validation or test role, depending on
@@ -3213,7 +3235,7 @@ public java.lang.String getAnnotationsFilter() {
      *
      *
      * <pre>
-     * Only applicable to Datasets that have DataItems and Annotations.
+     * Applicable only to Datasets that have DataItems and Annotations.
      * A filter on Annotations of the Dataset. Only Annotations that both
      * match this filter and belong to DataItems not ignored by the split method
      * are used in respectively training, validation or test role, depending on
@@ -3243,7 +3265,7 @@ public com.google.protobuf.ByteString getAnnotationsFilterBytes() {
      *
      *
      * <pre>
-     * Only applicable to Datasets that have DataItems and Annotations.
+     * Applicable only to Datasets that have DataItems and Annotations.
      * A filter on Annotations of the Dataset. Only Annotations that both
      * match this filter and belong to DataItems not ignored by the split method
      * are used in respectively training, validation or test role, depending on
@@ -3272,7 +3294,7 @@ public Builder setAnnotationsFilter(java.lang.String value) {
      *
      *
      * <pre>
-     * Only applicable to Datasets that have DataItems and Annotations.
+     * Applicable only to Datasets that have DataItems and Annotations.
      * A filter on Annotations of the Dataset. Only Annotations that both
      * match this filter and belong to DataItems not ignored by the split method
      * are used in respectively training, validation or test role, depending on
@@ -3297,7 +3319,7 @@ public Builder clearAnnotationsFilter() {
      *
      *
      * <pre>
-     * Only applicable to Datasets that have DataItems and Annotations.
+     * Applicable only to Datasets that have DataItems and Annotations.
      * A filter on Annotations of the Dataset. Only Annotations that both
      * match this filter and belong to DataItems not ignored by the split method
      * are used in respectively training, validation or test role, depending on
@@ -3329,14 +3351,13 @@ public Builder setAnnotationsFilterBytes(com.google.protobuf.ByteString value) {
      *
      *
      * <pre>
-     * Only applicable to custom training.
-     * Google Cloud Storage URI points to a YAML file describing annotation
-     * schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
-     * https:
-     * //github.com/OAI/OpenAPI-Specification/b
-     * // lob/master/versions/3.0.2.md#schema-object)
+     * Applicable only to custom training with Datasets that have DataItems and
+     * Annotations.
+     * Cloud Storage URI that points to a YAML file describing the annotation
+     * schema. The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
      * The schema files that can be used here are found in
-     * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+     * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
      * chosen schema must be consistent with
      * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
      * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
@@ -3367,14 +3388,13 @@ public java.lang.String getAnnotationSchemaUri() {
      *
      *
      * <pre>
-     * Only applicable to custom training.
-     * Google Cloud Storage URI points to a YAML file describing annotation
-     * schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
-     * https:
-     * //github.com/OAI/OpenAPI-Specification/b
-     * // lob/master/versions/3.0.2.md#schema-object)
+     * Applicable only to custom training with Datasets that have DataItems and
+     * Annotations.
+     * Cloud Storage URI that points to a YAML file describing the annotation
+     * schema. The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
      * The schema files that can be used here are found in
-     * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+     * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
      * chosen schema must be consistent with
      * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
      * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
@@ -3405,14 +3425,13 @@ public com.google.protobuf.ByteString getAnnotationSchemaUriBytes() {
      *
      *
      * <pre>
-     * Only applicable to custom training.
-     * Google Cloud Storage URI points to a YAML file describing annotation
-     * schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
-     * https:
-     * //github.com/OAI/OpenAPI-Specification/b
-     * // lob/master/versions/3.0.2.md#schema-object)
+     * Applicable only to custom training with Datasets that have DataItems and
+     * Annotations.
+     * Cloud Storage URI that points to a YAML file describing the annotation
+     * schema. The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
      * The schema files that can be used here are found in
-     * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+     * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
      * chosen schema must be consistent with
      * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
      * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
@@ -3442,14 +3461,13 @@ public Builder setAnnotationSchemaUri(java.lang.String value) {
      *
      *
      * <pre>
-     * Only applicable to custom training.
-     * Google Cloud Storage URI points to a YAML file describing annotation
-     * schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
-     * https:
-     * //github.com/OAI/OpenAPI-Specification/b
-     * // lob/master/versions/3.0.2.md#schema-object)
+     * Applicable only to custom training with Datasets that have DataItems and
+     * Annotations.
+     * Cloud Storage URI that points to a YAML file describing the annotation
+     * schema. The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
      * The schema files that can be used here are found in
-     * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+     * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
      * chosen schema must be consistent with
      * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
      * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
@@ -3475,14 +3493,13 @@ public Builder clearAnnotationSchemaUri() {
      *
      *
      * <pre>
-     * Only applicable to custom training.
-     * Google Cloud Storage URI points to a YAML file describing annotation
-     * schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
-     * https:
-     * //github.com/OAI/OpenAPI-Specification/b
-     * // lob/master/versions/3.0.2.md#schema-object)
+     * Applicable only to custom training with Datasets that have DataItems and
+     * Annotations.
+     * Cloud Storage URI that points to a YAML file describing the annotation
+     * schema. The schema is defined as an OpenAPI 3.0.2
+     * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
      * The schema files that can be used here are found in
-     * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+     * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
      * chosen schema must be consistent with
      * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
      * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfigOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfigOrBuilder.java
index aff3c1765..552e4ae07 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfigOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/InputDataConfigOrBuilder.java
@@ -173,17 +173,17 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
-   * The Google Cloud Storage location where the training data is to be
-   * written to. In the given directory a new directory will be created with
+   * The Cloud Storage location where the training data is to be
+   * written to. In the given directory a new directory is created with
    * name:
    * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-   * All training input data will be written into that directory.
-   * The AI Platform environment variables representing Google Cloud Storage
-   * data URIs will always be represented in the Google Cloud Storage wildcard
+   * All training input data is written into that directory.
+   * The AI Platform environment variables representing Cloud Storage
+   * data URIs are represented in the Cloud Storage wildcard
    * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
    * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-   * * AIP_TRAINING_DATA_URI  =
+   * * AIP_TRAINING_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
    * * AIP_VALIDATION_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -200,17 +200,17 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
-   * The Google Cloud Storage location where the training data is to be
-   * written to. In the given directory a new directory will be created with
+   * The Cloud Storage location where the training data is to be
+   * written to. In the given directory a new directory is created with
    * name:
    * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-   * All training input data will be written into that directory.
-   * The AI Platform environment variables representing Google Cloud Storage
-   * data URIs will always be represented in the Google Cloud Storage wildcard
+   * All training input data is written into that directory.
+   * The AI Platform environment variables representing Cloud Storage
+   * data URIs are represented in the Cloud Storage wildcard
    * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
    * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-   * * AIP_TRAINING_DATA_URI  =
+   * * AIP_TRAINING_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
    * * AIP_VALIDATION_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -227,17 +227,17 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
-   * The Google Cloud Storage location where the training data is to be
-   * written to. In the given directory a new directory will be created with
+   * The Cloud Storage location where the training data is to be
+   * written to. In the given directory a new directory is created with
    * name:
    * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-   * All training input data will be written into that directory.
-   * The AI Platform environment variables representing Google Cloud Storage
-   * data URIs will always be represented in the Google Cloud Storage wildcard
+   * All training input data is written into that directory.
+   * The AI Platform environment variables representing Cloud Storage
+   * data URIs are represented in the Cloud Storage wildcard
    * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
    * * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-   * * AIP_TRAINING_DATA_URI  =
+   * * AIP_TRAINING_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AIP_DATA_FORMAT}"
    * * AIP_VALIDATION_DATA_URI =
    * "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/validation-*.${AIP_DATA_FORMAT}"
@@ -253,12 +253,14 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
+   * Only applicable to custom training with tabular Dataset with BigQuery
+   * source.
    * The BigQuery project location where the training data is to be written
    * to. In the given project a new dataset is created with name
    * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-   * input data will be written into that dataset. In the dataset three
-   * tables will be created, `training`, `validation` and `test`.
+   * input data is written into that dataset. In the dataset three
+   * tables are created, `training`, `validation` and `test`.
    * * AIP_DATA_FORMAT = "bigquery".
    * * AIP_TRAINING_DATA_URI  =
    * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -277,12 +279,14 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
+   * Only applicable to custom training with tabular Dataset with BigQuery
+   * source.
    * The BigQuery project location where the training data is to be written
    * to. In the given project a new dataset is created with name
    * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-   * input data will be written into that dataset. In the dataset three
-   * tables will be created, `training`, `validation` and `test`.
+   * input data is written into that dataset. In the dataset three
+   * tables are created, `training`, `validation` and `test`.
    * * AIP_DATA_FORMAT = "bigquery".
    * * AIP_TRAINING_DATA_URI  =
    * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -301,12 +305,14 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
+   * Only applicable to custom training with tabular Dataset with BigQuery
+   * source.
    * The BigQuery project location where the training data is to be written
    * to. In the given project a new dataset is created with name
    * `dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;timestamp-of-training-call&gt;`
    * where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-   * input data will be written into that dataset. In the dataset three
-   * tables will be created, `training`, `validation` and `test`.
+   * input data is written into that dataset. In the dataset three
+   * tables are created, `training`, `validation` and `test`.
    * * AIP_DATA_FORMAT = "bigquery".
    * * AIP_TRAINING_DATA_URI  =
    * "bigquery_destination.dataset_&lt;dataset-id&gt;_&lt;annotation-type&gt;_&lt;time&gt;.training"
@@ -362,7 +368,7 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
-   * Only applicable to Datasets that have DataItems and Annotations.
+   * Applicable only to Datasets that have DataItems and Annotations.
    * A filter on Annotations of the Dataset. Only Annotations that both
    * match this filter and belong to DataItems not ignored by the split method
    * are used in respectively training, validation or test role, depending on
@@ -382,7 +388,7 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
-   * Only applicable to Datasets that have DataItems and Annotations.
+   * Applicable only to Datasets that have DataItems and Annotations.
    * A filter on Annotations of the Dataset. Only Annotations that both
    * match this filter and belong to DataItems not ignored by the split method
    * are used in respectively training, validation or test role, depending on
@@ -403,14 +409,13 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
-   * Only applicable to custom training.
-   * Google Cloud Storage URI points to a YAML file describing annotation
-   * schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
-   * https:
-   * //github.com/OAI/OpenAPI-Specification/b
-   * // lob/master/versions/3.0.2.md#schema-object)
+   * Applicable only to custom training with Datasets that have DataItems and
+   * Annotations.
+   * Cloud Storage URI that points to a YAML file describing the annotation
+   * schema. The schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
    * The schema files that can be used here are found in
-   * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+   * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
    * chosen schema must be consistent with
    * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
    * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
@@ -431,14 +436,13 @@ public interface InputDataConfigOrBuilder
    *
    *
    * <pre>
-   * Only applicable to custom training.
-   * Google Cloud Storage URI points to a YAML file describing annotation
-   * schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
-   * https:
-   * //github.com/OAI/OpenAPI-Specification/b
-   * // lob/master/versions/3.0.2.md#schema-object)
+   * Applicable only to custom training with Datasets that have DataItems and
+   * Annotations.
+   * Cloud Storage URI that points to a YAML file describing the annotation
+   * schema. The schema is defined as an OpenAPI 3.0.2
+   * [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
    * The schema files that can be used here are found in
-   * gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+   * gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
    * chosen schema must be consistent with
    * [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
    * [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceProto.java
index 5f182f9f1..f90dbd52a 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/JobServiceProto.java
@@ -142,212 +142,214 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "form/v1beta1/custom_job.proto\0327google/cl"
           + "oud/aiplatform/v1beta1/data_labeling_job"
           + ".proto\032?google/cloud/aiplatform/v1beta1/"
-          + "hyperparameter_tuning_job.proto\032#google/"
-          + "longrunning/operations.proto\032\033google/pro"
-          + "tobuf/empty.proto\032 google/protobuf/field"
-          + "_mask.proto\"\230\001\n\026CreateCustomJobRequest\0229"
-          + "\n\006parent\030\001 \001(\tB)\340A\002\372A#\n!locations.google"
-          + "apis.com/Location\022C\n\ncustom_job\030\002 \001(\0132*."
-          + "google.cloud.aiplatform.v1beta1.CustomJo"
-          + "bB\003\340A\002\"P\n\023GetCustomJobRequest\0229\n\004name\030\001 "
-          + "\001(\tB+\340A\002\372A%\n#aiplatform.googleapis.com/C"
-          + "ustomJob\"\270\001\n\025ListCustomJobsRequest\0229\n\006pa"
-          + "rent\030\001 \001(\tB)\340A\002\372A#\n!locations.googleapis"
-          + ".com/Location\022\016\n\006filter\030\002 \001(\t\022\021\n\tpage_si"
-          + "ze\030\003 \001(\005\022\022\n\npage_token\030\004 \001(\t\022-\n\tread_mas"
-          + "k\030\005 \001(\0132\032.google.protobuf.FieldMask\"r\n\026L"
-          + "istCustomJobsResponse\022?\n\013custom_jobs\030\001 \003"
-          + "(\0132*.google.cloud.aiplatform.v1beta1.Cus"
-          + "tomJob\022\027\n\017next_page_token\030\002 \001(\t\"S\n\026Delet"
-          + "eCustomJobRequest\0229\n\004name\030\001 \001(\tB+\340A\002\372A%\n"
-          + "#aiplatform.googleapis.com/CustomJob\"S\n\026"
-          + "CancelCustomJobRequest\0229\n\004name\030\001 \001(\tB+\340A"
-          + "\002\372A%\n#aiplatform.googleapis.com/CustomJo"
-          + "b\"\253\001\n\034CreateDataLabelingJobRequest\0229\n\006pa"
-          + "rent\030\001 \001(\tB)\340A\002\372A#\n!locations.googleapis"
-          + ".com/Location\022P\n\021data_labeling_job\030\002 \001(\013"
-          + "20.google.cloud.aiplatform.v1beta1.DataL"
-          + "abelingJobB\003\340A\002\"\\\n\031GetDataLabelingJobReq"
-          + "uest\022?\n\004name\030\001 \001(\tB1\340A\002\372A+\n)aiplatform.g"
-          + "oogleapis.com/DataLabelingJob\"\320\001\n\033ListDa"
-          + "taLabelingJobsRequest\0229\n\006parent\030\001 \001(\tB)\340"
-          + "A\002\372A#\n!locations.googleapis.com/Location"
-          + "\022\016\n\006filter\030\002 \001(\t\022\021\n\tpage_size\030\003 \001(\005\022\022\n\np"
-          + "age_token\030\004 \001(\t\022-\n\tread_mask\030\005 \001(\0132\032.goo"
-          + "gle.protobuf.FieldMask\022\020\n\010order_by\030\006 \001(\t"
-          + "\"\205\001\n\034ListDataLabelingJobsResponse\022L\n\022dat"
-          + "a_labeling_jobs\030\001 \003(\01320.google.cloud.aip"
-          + "latform.v1beta1.DataLabelingJob\022\027\n\017next_"
-          + "page_token\030\002 \001(\t\"_\n\034DeleteDataLabelingJo"
-          + "bRequest\022?\n\004name\030\001 \001(\tB1\340A\002\372A+\n)aiplatfo"
-          + "rm.googleapis.com/DataLabelingJob\"_\n\034Can"
-          + "celDataLabelingJobRequest\022?\n\004name\030\001 \001(\tB"
-          + "1\340A\002\372A+\n)aiplatform.googleapis.com/DataL"
-          + "abelingJob\"\303\001\n$CreateHyperparameterTunin"
-          + "gJobRequest\0229\n\006parent\030\001 \001(\tB)\340A\002\372A#\n!loc"
-          + "ations.googleapis.com/Location\022`\n\031hyperp"
-          + "arameter_tuning_job\030\002 \001(\01328.google.cloud"
-          + ".aiplatform.v1beta1.HyperparameterTuning"
-          + "JobB\003\340A\002\"l\n!GetHyperparameterTuningJobRe"
-          + "quest\022G\n\004name\030\001 \001(\tB9\340A\002\372A3\n1aiplatform."
-          + "googleapis.com/HyperparameterTuningJob\"\306"
-          + "\001\n#ListHyperparameterTuningJobsRequest\0229"
-          + "\n\006parent\030\001 \001(\tB)\340A\002\372A#\n!locations.google"
-          + "apis.com/Location\022\016\n\006filter\030\002 \001(\t\022\021\n\tpag"
-          + "e_size\030\003 \001(\005\022\022\n\npage_token\030\004 \001(\t\022-\n\tread"
-          + "_mask\030\005 \001(\0132\032.google.protobuf.FieldMask\""
-          + "\235\001\n$ListHyperparameterTuningJobsResponse"
-          + "\022\\\n\032hyperparameter_tuning_jobs\030\001 \003(\01328.g"
-          + "oogle.cloud.aiplatform.v1beta1.Hyperpara"
-          + "meterTuningJob\022\027\n\017next_page_token\030\002 \001(\t\""
-          + "o\n$DeleteHyperparameterTuningJobRequest\022"
-          + "G\n\004name\030\001 \001(\tB9\340A\002\372A3\n1aiplatform.google"
-          + "apis.com/HyperparameterTuningJob\"o\n$Canc"
-          + "elHyperparameterTuningJobRequest\022G\n\004name"
-          + "\030\001 \001(\tB9\340A\002\372A3\n1aiplatform.googleapis.co"
-          + "m/HyperparameterTuningJob\"\264\001\n\037CreateBatc"
-          + "hPredictionJobRequest\0229\n\006parent\030\001 \001(\tB)\340"
-          + "A\002\372A#\n!locations.googleapis.com/Location"
-          + "\022V\n\024batch_prediction_job\030\002 \001(\01323.google."
-          + "cloud.aiplatform.v1beta1.BatchPrediction"
-          + "JobB\003\340A\002\"b\n\034GetBatchPredictionJobRequest"
-          + "\022B\n\004name\030\001 \001(\tB4\340A\002\372A.\n,aiplatform.googl"
-          + "eapis.com/BatchPredictionJob\"\301\001\n\036ListBat"
-          + "chPredictionJobsRequest\0229\n\006parent\030\001 \001(\tB"
+          + "hyperparameter_tuning_job.proto\032/google/"
+          + "cloud/aiplatform/v1beta1/operation.proto"
+          + "\032#google/longrunning/operations.proto\032\033g"
+          + "oogle/protobuf/empty.proto\032 google/proto"
+          + "buf/field_mask.proto\032\037google/protobuf/ti"
+          + "mestamp.proto\"\230\001\n\026CreateCustomJobRequest"
+          + "\0229\n\006parent\030\001 \001(\tB)\340A\002\372A#\n!locations.goog"
+          + "leapis.com/Location\022C\n\ncustom_job\030\002 \001(\0132"
+          + "*.google.cloud.aiplatform.v1beta1.Custom"
+          + "JobB\003\340A\002\"P\n\023GetCustomJobRequest\0229\n\004name\030"
+          + "\001 \001(\tB+\340A\002\372A%\n#aiplatform.googleapis.com"
+          + "/CustomJob\"\270\001\n\025ListCustomJobsRequest\0229\n\006"
+          + "parent\030\001 \001(\tB)\340A\002\372A#\n!locations.googleap"
+          + "is.com/Location\022\016\n\006filter\030\002 \001(\t\022\021\n\tpage_"
+          + "size\030\003 \001(\005\022\022\n\npage_token\030\004 \001(\t\022-\n\tread_m"
+          + "ask\030\005 \001(\0132\032.google.protobuf.FieldMask\"r\n"
+          + "\026ListCustomJobsResponse\022?\n\013custom_jobs\030\001"
+          + " \003(\0132*.google.cloud.aiplatform.v1beta1.C"
+          + "ustomJob\022\027\n\017next_page_token\030\002 \001(\t\"S\n\026Del"
+          + "eteCustomJobRequest\0229\n\004name\030\001 \001(\tB+\340A\002\372A"
+          + "%\n#aiplatform.googleapis.com/CustomJob\"S"
+          + "\n\026CancelCustomJobRequest\0229\n\004name\030\001 \001(\tB+"
+          + "\340A\002\372A%\n#aiplatform.googleapis.com/Custom"
+          + "Job\"\253\001\n\034CreateDataLabelingJobRequest\0229\n\006"
+          + "parent\030\001 \001(\tB)\340A\002\372A#\n!locations.googleap"
+          + "is.com/Location\022P\n\021data_labeling_job\030\002 \001"
+          + "(\01320.google.cloud.aiplatform.v1beta1.Dat"
+          + "aLabelingJobB\003\340A\002\"\\\n\031GetDataLabelingJobR"
+          + "equest\022?\n\004name\030\001 \001(\tB1\340A\002\372A+\n)aiplatform"
+          + ".googleapis.com/DataLabelingJob\"\320\001\n\033List"
+          + "DataLabelingJobsRequest\0229\n\006parent\030\001 \001(\tB"
           + ")\340A\002\372A#\n!locations.googleapis.com/Locati"
           + "on\022\016\n\006filter\030\002 \001(\t\022\021\n\tpage_size\030\003 \001(\005\022\022\n"
           + "\npage_token\030\004 \001(\t\022-\n\tread_mask\030\005 \001(\0132\032.g"
-          + "oogle.protobuf.FieldMask\"\216\001\n\037ListBatchPr"
-          + "edictionJobsResponse\022R\n\025batch_prediction"
-          + "_jobs\030\001 \003(\01323.google.cloud.aiplatform.v1"
-          + "beta1.BatchPredictionJob\022\027\n\017next_page_to"
-          + "ken\030\002 \001(\t\"e\n\037DeleteBatchPredictionJobReq"
-          + "uest\022B\n\004name\030\001 \001(\tB4\340A\002\372A.\n,aiplatform.g"
-          + "oogleapis.com/BatchPredictionJob\"e\n\037Canc"
-          + "elBatchPredictionJobRequest\022B\n\004name\030\001 \001("
-          + "\tB4\340A\002\372A.\n,aiplatform.googleapis.com/Bat"
-          + "chPredictionJob2\333$\n\nJobService\022\323\001\n\017Creat"
-          + "eCustomJob\0227.google.cloud.aiplatform.v1b"
-          + "eta1.CreateCustomJobRequest\032*.google.clo"
-          + "ud.aiplatform.v1beta1.CustomJob\"[\202\323\344\223\002A\""
-          + "3/v1beta1/{parent=projects/*/locations/*"
-          + "}/customJobs:\ncustom_job\332A\021parent,custom"
-          + "_job\022\264\001\n\014GetCustomJob\0224.google.cloud.aip"
-          + "latform.v1beta1.GetCustomJobRequest\032*.go"
-          + "ogle.cloud.aiplatform.v1beta1.CustomJob\""
-          + "B\202\323\344\223\0025\0223/v1beta1/{name=projects/*/locat"
-          + "ions/*/customJobs/*}\332A\004name\022\307\001\n\016ListCust"
-          + "omJobs\0226.google.cloud.aiplatform.v1beta1"
-          + ".ListCustomJobsRequest\0327.google.cloud.ai"
-          + "platform.v1beta1.ListCustomJobsResponse\""
-          + "D\202\323\344\223\0025\0223/v1beta1/{parent=projects/*/loc"
-          + "ations/*}/customJobs\332A\006parent\022\340\001\n\017Delete"
-          + "CustomJob\0227.google.cloud.aiplatform.v1be"
-          + "ta1.DeleteCustomJobRequest\032\035.google.long"
-          + "running.Operation\"u\202\323\344\223\0025*3/v1beta1/{nam"
-          + "e=projects/*/locations/*/customJobs/*}\332A"
-          + "\004name\312A0\n\025google.protobuf.Empty\022\027DeleteO"
-          + "perationMetadata\022\260\001\n\017CancelCustomJob\0227.g"
-          + "oogle.cloud.aiplatform.v1beta1.CancelCus"
-          + "tomJobRequest\032\026.google.protobuf.Empty\"L\202"
-          + "\323\344\223\002?\":/v1beta1/{name=projects/*/locatio"
-          + "ns/*/customJobs/*}:cancel:\001*\332A\004name\022\371\001\n\025"
-          + "CreateDataLabelingJob\022=.google.cloud.aip"
-          + "latform.v1beta1.CreateDataLabelingJobReq"
-          + "uest\0320.google.cloud.aiplatform.v1beta1.D"
-          + "ataLabelingJob\"o\202\323\344\223\002N\"9/v1beta1/{parent"
-          + "=projects/*/locations/*}/dataLabelingJob"
-          + "s:\021data_labeling_job\332A\030parent,data_label"
-          + "ing_job\022\314\001\n\022GetDataLabelingJob\022:.google."
-          + "cloud.aiplatform.v1beta1.GetDataLabeling"
-          + "JobRequest\0320.google.cloud.aiplatform.v1b"
-          + "eta1.DataLabelingJob\"H\202\323\344\223\002;\0229/v1beta1/{"
-          + "name=projects/*/locations/*/dataLabeling"
-          + "Jobs/*}\332A\004name\022\337\001\n\024ListDataLabelingJobs\022"
-          + "<.google.cloud.aiplatform.v1beta1.ListDa"
-          + "taLabelingJobsRequest\032=.google.cloud.aip"
-          + "latform.v1beta1.ListDataLabelingJobsResp"
-          + "onse\"J\202\323\344\223\002;\0229/v1beta1/{parent=projects/"
-          + "*/locations/*}/dataLabelingJobs\332A\006parent"
-          + "\022\362\001\n\025DeleteDataLabelingJob\022=.google.clou"
-          + "d.aiplatform.v1beta1.DeleteDataLabelingJ"
-          + "obRequest\032\035.google.longrunning.Operation"
-          + "\"{\202\323\344\223\002;*9/v1beta1/{name=projects/*/loca"
-          + "tions/*/dataLabelingJobs/*}\332A\004name\312A0\n\025g"
-          + "oogle.protobuf.Empty\022\027DeleteOperationMet"
-          + "adata\022\302\001\n\025CancelDataLabelingJob\022=.google"
-          + ".cloud.aiplatform.v1beta1.CancelDataLabe"
-          + "lingJobRequest\032\026.google.protobuf.Empty\"R"
-          + "\202\323\344\223\002E\"@/v1beta1/{name=projects/*/locati"
-          + "ons/*/dataLabelingJobs/*}:cancel:\001*\332A\004na"
-          + "me\022\252\002\n\035CreateHyperparameterTuningJob\022E.g"
-          + "oogle.cloud.aiplatform.v1beta1.CreateHyp"
-          + "erparameterTuningJobRequest\0328.google.clo"
+          + "oogle.protobuf.FieldMask\022\020\n\010order_by\030\006 \001"
+          + "(\t\"\205\001\n\034ListDataLabelingJobsResponse\022L\n\022d"
+          + "ata_labeling_jobs\030\001 \003(\01320.google.cloud.a"
+          + "iplatform.v1beta1.DataLabelingJob\022\027\n\017nex"
+          + "t_page_token\030\002 \001(\t\"_\n\034DeleteDataLabeling"
+          + "JobRequest\022?\n\004name\030\001 \001(\tB1\340A\002\372A+\n)aiplat"
+          + "form.googleapis.com/DataLabelingJob\"_\n\034C"
+          + "ancelDataLabelingJobRequest\022?\n\004name\030\001 \001("
+          + "\tB1\340A\002\372A+\n)aiplatform.googleapis.com/Dat"
+          + "aLabelingJob\"\303\001\n$CreateHyperparameterTun"
+          + "ingJobRequest\0229\n\006parent\030\001 \001(\tB)\340A\002\372A#\n!l"
+          + "ocations.googleapis.com/Location\022`\n\031hype"
+          + "rparameter_tuning_job\030\002 \001(\01328.google.clo"
           + "ud.aiplatform.v1beta1.HyperparameterTuni"
-          + "ngJob\"\207\001\202\323\344\223\002^\"A/v1beta1/{parent=project"
-          + "s/*/locations/*}/hyperparameterTuningJob"
-          + "s:\031hyperparameter_tuning_job\332A parent,hy"
-          + "perparameter_tuning_job\022\354\001\n\032GetHyperpara"
-          + "meterTuningJob\022B.google.cloud.aiplatform"
-          + ".v1beta1.GetHyperparameterTuningJobReque"
-          + "st\0328.google.cloud.aiplatform.v1beta1.Hyp"
-          + "erparameterTuningJob\"P\202\323\344\223\002C\022A/v1beta1/{"
-          + "name=projects/*/locations/*/hyperparamet"
-          + "erTuningJobs/*}\332A\004name\022\377\001\n\034ListHyperpara"
-          + "meterTuningJobs\022D.google.cloud.aiplatfor"
-          + "m.v1beta1.ListHyperparameterTuningJobsRe"
-          + "quest\032E.google.cloud.aiplatform.v1beta1."
-          + "ListHyperparameterTuningJobsResponse\"R\202\323"
-          + "\344\223\002C\022A/v1beta1/{parent=projects/*/locati"
-          + "ons/*}/hyperparameterTuningJobs\332A\006parent"
-          + "\022\213\002\n\035DeleteHyperparameterTuningJob\022E.goo"
-          + "gle.cloud.aiplatform.v1beta1.DeleteHyper"
-          + "parameterTuningJobRequest\032\035.google.longr"
-          + "unning.Operation\"\203\001\202\323\344\223\002C*A/v1beta1/{nam"
-          + "e=projects/*/locations/*/hyperparameterT"
-          + "uningJobs/*}\332A\004name\312A0\n\025google.protobuf."
-          + "Empty\022\027DeleteOperationMetadata\022\332\001\n\035Cance"
-          + "lHyperparameterTuningJob\022E.google.cloud."
-          + "aiplatform.v1beta1.CancelHyperparameterT"
-          + "uningJobRequest\032\026.google.protobuf.Empty\""
-          + "Z\202\323\344\223\002M\"H/v1beta1/{name=projects/*/locat"
-          + "ions/*/hyperparameterTuningJobs/*}:cance"
-          + "l:\001*\332A\004name\022\213\002\n\030CreateBatchPredictionJob"
-          + "\022@.google.cloud.aiplatform.v1beta1.Creat"
-          + "eBatchPredictionJobRequest\0323.google.clou"
-          + "d.aiplatform.v1beta1.BatchPredictionJob\""
-          + "x\202\323\344\223\002T\"</v1beta1/{parent=projects/*/loc"
-          + "ations/*}/batchPredictionJobs:\024batch_pre"
-          + "diction_job\332A\033parent,batch_prediction_jo"
-          + "b\022\330\001\n\025GetBatchPredictionJob\022=.google.clo"
-          + "ud.aiplatform.v1beta1.GetBatchPrediction"
-          + "JobRequest\0323.google.cloud.aiplatform.v1b"
-          + "eta1.BatchPredictionJob\"K\202\323\344\223\002>\022</v1beta"
-          + "1/{name=projects/*/locations/*/batchPred"
-          + "ictionJobs/*}\332A\004name\022\353\001\n\027ListBatchPredic"
-          + "tionJobs\022?.google.cloud.aiplatform.v1bet"
-          + "a1.ListBatchPredictionJobsRequest\032@.goog"
-          + "le.cloud.aiplatform.v1beta1.ListBatchPre"
-          + "dictionJobsResponse\"M\202\323\344\223\002>\022</v1beta1/{p"
-          + "arent=projects/*/locations/*}/batchPredi"
-          + "ctionJobs\332A\006parent\022\373\001\n\030DeleteBatchPredic"
-          + "tionJob\022@.google.cloud.aiplatform.v1beta"
-          + "1.DeleteBatchPredictionJobRequest\032\035.goog"
-          + "le.longrunning.Operation\"~\202\323\344\223\002>*</v1bet"
-          + "a1/{name=projects/*/locations/*/batchPre"
-          + "dictionJobs/*}\332A\004name\312A0\n\025google.protobu"
-          + "f.Empty\022\027DeleteOperationMetadata\022\313\001\n\030Can"
-          + "celBatchPredictionJob\022@.google.cloud.aip"
-          + "latform.v1beta1.CancelBatchPredictionJob"
-          + "Request\032\026.google.protobuf.Empty\"U\202\323\344\223\002H\""
-          + "C/v1beta1/{name=projects/*/locations/*/b"
-          + "atchPredictionJobs/*}:cancel:\001*\332A\004name\032M"
-          + "\312A\031aiplatform.googleapis.com\322A.https://w"
-          + "ww.googleapis.com/auth/cloud-platformB\203\001"
-          + "\n#com.google.cloud.aiplatform.v1beta1B\017J"
-          + "obServiceProtoP\001ZIgoogle.golang.org/genp"
-          + "roto/googleapis/cloud/aiplatform/v1beta1"
-          + ";aiplatformb\006proto3"
+          + "ngJobB\003\340A\002\"l\n!GetHyperparameterTuningJob"
+          + "Request\022G\n\004name\030\001 \001(\tB9\340A\002\372A3\n1aiplatfor"
+          + "m.googleapis.com/HyperparameterTuningJob"
+          + "\"\306\001\n#ListHyperparameterTuningJobsRequest"
+          + "\0229\n\006parent\030\001 \001(\tB)\340A\002\372A#\n!locations.goog"
+          + "leapis.com/Location\022\016\n\006filter\030\002 \001(\t\022\021\n\tp"
+          + "age_size\030\003 \001(\005\022\022\n\npage_token\030\004 \001(\t\022-\n\tre"
+          + "ad_mask\030\005 \001(\0132\032.google.protobuf.FieldMas"
+          + "k\"\235\001\n$ListHyperparameterTuningJobsRespon"
+          + "se\022\\\n\032hyperparameter_tuning_jobs\030\001 \003(\01328"
+          + ".google.cloud.aiplatform.v1beta1.Hyperpa"
+          + "rameterTuningJob\022\027\n\017next_page_token\030\002 \001("
+          + "\t\"o\n$DeleteHyperparameterTuningJobReques"
+          + "t\022G\n\004name\030\001 \001(\tB9\340A\002\372A3\n1aiplatform.goog"
+          + "leapis.com/HyperparameterTuningJob\"o\n$Ca"
+          + "ncelHyperparameterTuningJobRequest\022G\n\004na"
+          + "me\030\001 \001(\tB9\340A\002\372A3\n1aiplatform.googleapis."
+          + "com/HyperparameterTuningJob\"\264\001\n\037CreateBa"
+          + "tchPredictionJobRequest\0229\n\006parent\030\001 \001(\tB"
+          + ")\340A\002\372A#\n!locations.googleapis.com/Locati"
+          + "on\022V\n\024batch_prediction_job\030\002 \001(\01323.googl"
+          + "e.cloud.aiplatform.v1beta1.BatchPredicti"
+          + "onJobB\003\340A\002\"b\n\034GetBatchPredictionJobReque"
+          + "st\022B\n\004name\030\001 \001(\tB4\340A\002\372A.\n,aiplatform.goo"
+          + "gleapis.com/BatchPredictionJob\"\301\001\n\036ListB"
+          + "atchPredictionJobsRequest\0229\n\006parent\030\001 \001("
+          + "\tB)\340A\002\372A#\n!locations.googleapis.com/Loca"
+          + "tion\022\016\n\006filter\030\002 \001(\t\022\021\n\tpage_size\030\003 \001(\005\022"
+          + "\022\n\npage_token\030\004 \001(\t\022-\n\tread_mask\030\005 \001(\0132\032"
+          + ".google.protobuf.FieldMask\"\216\001\n\037ListBatch"
+          + "PredictionJobsResponse\022R\n\025batch_predicti"
+          + "on_jobs\030\001 \003(\01323.google.cloud.aiplatform."
+          + "v1beta1.BatchPredictionJob\022\027\n\017next_page_"
+          + "token\030\002 \001(\t\"e\n\037DeleteBatchPredictionJobR"
+          + "equest\022B\n\004name\030\001 \001(\tB4\340A\002\372A.\n,aiplatform"
+          + ".googleapis.com/BatchPredictionJob\"e\n\037Ca"
+          + "ncelBatchPredictionJobRequest\022B\n\004name\030\001 "
+          + "\001(\tB4\340A\002\372A.\n,aiplatform.googleapis.com/B"
+          + "atchPredictionJob2\333$\n\nJobService\022\323\001\n\017Cre"
+          + "ateCustomJob\0227.google.cloud.aiplatform.v"
+          + "1beta1.CreateCustomJobRequest\032*.google.c"
+          + "loud.aiplatform.v1beta1.CustomJob\"[\202\323\344\223\002"
+          + "A\"3/v1beta1/{parent=projects/*/locations"
+          + "/*}/customJobs:\ncustom_job\332A\021parent,cust"
+          + "om_job\022\264\001\n\014GetCustomJob\0224.google.cloud.a"
+          + "iplatform.v1beta1.GetCustomJobRequest\032*."
+          + "google.cloud.aiplatform.v1beta1.CustomJo"
+          + "b\"B\202\323\344\223\0025\0223/v1beta1/{name=projects/*/loc"
+          + "ations/*/customJobs/*}\332A\004name\022\307\001\n\016ListCu"
+          + "stomJobs\0226.google.cloud.aiplatform.v1bet"
+          + "a1.ListCustomJobsRequest\0327.google.cloud."
+          + "aiplatform.v1beta1.ListCustomJobsRespons"
+          + "e\"D\202\323\344\223\0025\0223/v1beta1/{parent=projects/*/l"
+          + "ocations/*}/customJobs\332A\006parent\022\340\001\n\017Dele"
+          + "teCustomJob\0227.google.cloud.aiplatform.v1"
+          + "beta1.DeleteCustomJobRequest\032\035.google.lo"
+          + "ngrunning.Operation\"u\202\323\344\223\0025*3/v1beta1/{n"
+          + "ame=projects/*/locations/*/customJobs/*}"
+          + "\332A\004name\312A0\n\025google.protobuf.Empty\022\027Delet"
+          + "eOperationMetadata\022\260\001\n\017CancelCustomJob\0227"
+          + ".google.cloud.aiplatform.v1beta1.CancelC"
+          + "ustomJobRequest\032\026.google.protobuf.Empty\""
+          + "L\202\323\344\223\002?\":/v1beta1/{name=projects/*/locat"
+          + "ions/*/customJobs/*}:cancel:\001*\332A\004name\022\371\001"
+          + "\n\025CreateDataLabelingJob\022=.google.cloud.a"
+          + "iplatform.v1beta1.CreateDataLabelingJobR"
+          + "equest\0320.google.cloud.aiplatform.v1beta1"
+          + ".DataLabelingJob\"o\202\323\344\223\002N\"9/v1beta1/{pare"
+          + "nt=projects/*/locations/*}/dataLabelingJ"
+          + "obs:\021data_labeling_job\332A\030parent,data_lab"
+          + "eling_job\022\314\001\n\022GetDataLabelingJob\022:.googl"
+          + "e.cloud.aiplatform.v1beta1.GetDataLabeli"
+          + "ngJobRequest\0320.google.cloud.aiplatform.v"
+          + "1beta1.DataLabelingJob\"H\202\323\344\223\002;\0229/v1beta1"
+          + "/{name=projects/*/locations/*/dataLabeli"
+          + "ngJobs/*}\332A\004name\022\337\001\n\024ListDataLabelingJob"
+          + "s\022<.google.cloud.aiplatform.v1beta1.List"
+          + "DataLabelingJobsRequest\032=.google.cloud.a"
+          + "iplatform.v1beta1.ListDataLabelingJobsRe"
+          + "sponse\"J\202\323\344\223\002;\0229/v1beta1/{parent=project"
+          + "s/*/locations/*}/dataLabelingJobs\332A\006pare"
+          + "nt\022\362\001\n\025DeleteDataLabelingJob\022=.google.cl"
+          + "oud.aiplatform.v1beta1.DeleteDataLabelin"
+          + "gJobRequest\032\035.google.longrunning.Operati"
+          + "on\"{\202\323\344\223\002;*9/v1beta1/{name=projects/*/lo"
+          + "cations/*/dataLabelingJobs/*}\332A\004name\312A0\n"
+          + "\025google.protobuf.Empty\022\027DeleteOperationM"
+          + "etadata\022\302\001\n\025CancelDataLabelingJob\022=.goog"
+          + "le.cloud.aiplatform.v1beta1.CancelDataLa"
+          + "belingJobRequest\032\026.google.protobuf.Empty"
+          + "\"R\202\323\344\223\002E\"@/v1beta1/{name=projects/*/loca"
+          + "tions/*/dataLabelingJobs/*}:cancel:\001*\332A\004"
+          + "name\022\252\002\n\035CreateHyperparameterTuningJob\022E"
+          + ".google.cloud.aiplatform.v1beta1.CreateH"
+          + "yperparameterTuningJobRequest\0328.google.c"
+          + "loud.aiplatform.v1beta1.HyperparameterTu"
+          + "ningJob\"\207\001\202\323\344\223\002^\"A/v1beta1/{parent=proje"
+          + "cts/*/locations/*}/hyperparameterTuningJ"
+          + "obs:\031hyperparameter_tuning_job\332A parent,"
+          + "hyperparameter_tuning_job\022\354\001\n\032GetHyperpa"
+          + "rameterTuningJob\022B.google.cloud.aiplatfo"
+          + "rm.v1beta1.GetHyperparameterTuningJobReq"
+          + "uest\0328.google.cloud.aiplatform.v1beta1.H"
+          + "yperparameterTuningJob\"P\202\323\344\223\002C\022A/v1beta1"
+          + "/{name=projects/*/locations/*/hyperparam"
+          + "eterTuningJobs/*}\332A\004name\022\377\001\n\034ListHyperpa"
+          + "rameterTuningJobs\022D.google.cloud.aiplatf"
+          + "orm.v1beta1.ListHyperparameterTuningJobs"
+          + "Request\032E.google.cloud.aiplatform.v1beta"
+          + "1.ListHyperparameterTuningJobsResponse\"R"
+          + "\202\323\344\223\002C\022A/v1beta1/{parent=projects/*/loca"
+          + "tions/*}/hyperparameterTuningJobs\332A\006pare"
+          + "nt\022\213\002\n\035DeleteHyperparameterTuningJob\022E.g"
+          + "oogle.cloud.aiplatform.v1beta1.DeleteHyp"
+          + "erparameterTuningJobRequest\032\035.google.lon"
+          + "grunning.Operation\"\203\001\202\323\344\223\002C*A/v1beta1/{n"
+          + "ame=projects/*/locations/*/hyperparamete"
+          + "rTuningJobs/*}\332A\004name\312A0\n\025google.protobu"
+          + "f.Empty\022\027DeleteOperationMetadata\022\332\001\n\035Can"
+          + "celHyperparameterTuningJob\022E.google.clou"
+          + "d.aiplatform.v1beta1.CancelHyperparamete"
+          + "rTuningJobRequest\032\026.google.protobuf.Empt"
+          + "y\"Z\202\323\344\223\002M\"H/v1beta1/{name=projects/*/loc"
+          + "ations/*/hyperparameterTuningJobs/*}:can"
+          + "cel:\001*\332A\004name\022\213\002\n\030CreateBatchPredictionJ"
+          + "ob\022@.google.cloud.aiplatform.v1beta1.Cre"
+          + "ateBatchPredictionJobRequest\0323.google.cl"
+          + "oud.aiplatform.v1beta1.BatchPredictionJo"
+          + "b\"x\202\323\344\223\002T\"</v1beta1/{parent=projects/*/l"
+          + "ocations/*}/batchPredictionJobs:\024batch_p"
+          + "rediction_job\332A\033parent,batch_prediction_"
+          + "job\022\330\001\n\025GetBatchPredictionJob\022=.google.c"
+          + "loud.aiplatform.v1beta1.GetBatchPredicti"
+          + "onJobRequest\0323.google.cloud.aiplatform.v"
+          + "1beta1.BatchPredictionJob\"K\202\323\344\223\002>\022</v1be"
+          + "ta1/{name=projects/*/locations/*/batchPr"
+          + "edictionJobs/*}\332A\004name\022\353\001\n\027ListBatchPred"
+          + "ictionJobs\022?.google.cloud.aiplatform.v1b"
+          + "eta1.ListBatchPredictionJobsRequest\032@.go"
+          + "ogle.cloud.aiplatform.v1beta1.ListBatchP"
+          + "redictionJobsResponse\"M\202\323\344\223\002>\022</v1beta1/"
+          + "{parent=projects/*/locations/*}/batchPre"
+          + "dictionJobs\332A\006parent\022\373\001\n\030DeleteBatchPred"
+          + "ictionJob\022@.google.cloud.aiplatform.v1be"
+          + "ta1.DeleteBatchPredictionJobRequest\032\035.go"
+          + "ogle.longrunning.Operation\"~\202\323\344\223\002>*</v1b"
+          + "eta1/{name=projects/*/locations/*/batchP"
+          + "redictionJobs/*}\332A\004name\312A0\n\025google.proto"
+          + "buf.Empty\022\027DeleteOperationMetadata\022\313\001\n\030C"
+          + "ancelBatchPredictionJob\022@.google.cloud.a"
+          + "iplatform.v1beta1.CancelBatchPredictionJ"
+          + "obRequest\032\026.google.protobuf.Empty\"U\202\323\344\223\002"
+          + "H\"C/v1beta1/{name=projects/*/locations/*"
+          + "/batchPredictionJobs/*}:cancel:\001*\332A\004name"
+          + "\032M\312A\031aiplatform.googleapis.com\322A.https:/"
+          + "/www.googleapis.com/auth/cloud-platformB"
+          + "\203\001\n#com.google.cloud.aiplatform.v1beta1B"
+          + "\017JobServiceProtoP\001ZIgoogle.golang.org/ge"
+          + "nproto/googleapis/cloud/aiplatform/v1bet"
+          + "a1;aiplatformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -361,9 +363,11 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               com.google.cloud.aiplatform.v1beta1.CustomJobProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.DataLabelingJobProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.HyperparameterTuningJobProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1beta1.OperationProto.getDescriptor(),
               com.google.longrunning.OperationsProto.getDescriptor(),
               com.google.protobuf.EmptyProto.getDescriptor(),
               com.google.protobuf.FieldMaskProto.getDescriptor(),
+              com.google.protobuf.TimestampProto.getDescriptor(),
             });
     internal_static_google_cloud_aiplatform_v1beta1_CreateCustomJobRequest_descriptor =
         getDescriptor().getMessageTypes().get(0);
@@ -576,9 +580,11 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     com.google.cloud.aiplatform.v1beta1.CustomJobProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.DataLabelingJobProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.HyperparameterTuningJobProto.getDescriptor();
+    com.google.cloud.aiplatform.v1beta1.OperationProto.getDescriptor();
     com.google.longrunning.OperationsProto.getDescriptor();
     com.google.protobuf.EmptyProto.getDescriptor();
     com.google.protobuf.FieldMaskProto.getDescriptor();
+    com.google.protobuf.TimestampProto.getDescriptor();
   }
 
   // @@protoc_insertion_point(outer_class_scope)
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsRequest.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsRequest.java
index 718f5b265..abaf3f278 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsRequest.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsRequest.java
@@ -216,7 +216,17 @@ public com.google.protobuf.ByteString getParentBytes() {
    *
    *
    * <pre>
-   * The standard list filter.
+   * An expression for filtering the results of the request. For field names
+   * both snake_case and camelCase are supported.
+   *   * `display_name`: supports = and !=
+   *   * `metadata_schema_uri`: supports = and !=
+   *   * `labels` supports general map functions that is:
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
+   * Some examples:
+   *   * `displayName="myDisplayName"`
+   *   * `labels.myKey="myValue"`
    * </pre>
    *
    * <code>string filter = 2;</code>
@@ -239,7 +249,17 @@ public java.lang.String getFilter() {
    *
    *
    * <pre>
-   * The standard list filter.
+   * An expression for filtering the results of the request. For field names
+   * both snake_case and camelCase are supported.
+   *   * `display_name`: supports = and !=
+   *   * `metadata_schema_uri`: supports = and !=
+   *   * `labels` supports general map functions that is:
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
+   * Some examples:
+   *   * `displayName="myDisplayName"`
+   *   * `labels.myKey="myValue"`
    * </pre>
    *
    * <code>string filter = 2;</code>
@@ -382,7 +402,7 @@ public com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder() {
    * Use "desc" after a field name for descending.
    * Supported fields:
    *   * `display_name`
-   *   * `data_item_count`   * `create_time`
+   *   * `create_time`
    *   * `update_time`
    * </pre>
    *
@@ -410,7 +430,7 @@ public java.lang.String getOrderBy() {
    * Use "desc" after a field name for descending.
    * Supported fields:
    *   * `display_name`
-   *   * `data_item_count`   * `create_time`
+   *   * `create_time`
    *   * `update_time`
    * </pre>
    *
@@ -967,7 +987,17 @@ public Builder setParentBytes(com.google.protobuf.ByteString value) {
      *
      *
      * <pre>
-     * The standard list filter.
+     * An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `display_name`: supports = and !=
+     *   * `metadata_schema_uri`: supports = and !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
      * </pre>
      *
      * <code>string filter = 2;</code>
@@ -989,7 +1019,17 @@ public java.lang.String getFilter() {
      *
      *
      * <pre>
-     * The standard list filter.
+     * An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `display_name`: supports = and !=
+     *   * `metadata_schema_uri`: supports = and !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
      * </pre>
      *
      * <code>string filter = 2;</code>
@@ -1011,7 +1051,17 @@ public com.google.protobuf.ByteString getFilterBytes() {
      *
      *
      * <pre>
-     * The standard list filter.
+     * An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `display_name`: supports = and !=
+     *   * `metadata_schema_uri`: supports = and !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
      * </pre>
      *
      * <code>string filter = 2;</code>
@@ -1032,7 +1082,17 @@ public Builder setFilter(java.lang.String value) {
      *
      *
      * <pre>
-     * The standard list filter.
+     * An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `display_name`: supports = and !=
+     *   * `metadata_schema_uri`: supports = and !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
      * </pre>
      *
      * <code>string filter = 2;</code>
@@ -1049,7 +1109,17 @@ public Builder clearFilter() {
      *
      *
      * <pre>
-     * The standard list filter.
+     * An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `display_name`: supports = and !=
+     *   * `metadata_schema_uri`: supports = and !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
      * </pre>
      *
      * <code>string filter = 2;</code>
@@ -1414,7 +1484,7 @@ public com.google.protobuf.FieldMaskOrBuilder getReadMaskOrBuilder() {
      * Use "desc" after a field name for descending.
      * Supported fields:
      *   * `display_name`
-     *   * `data_item_count`   * `create_time`
+     *   * `create_time`
      *   * `update_time`
      * </pre>
      *
@@ -1441,7 +1511,7 @@ public java.lang.String getOrderBy() {
      * Use "desc" after a field name for descending.
      * Supported fields:
      *   * `display_name`
-     *   * `data_item_count`   * `create_time`
+     *   * `create_time`
      *   * `update_time`
      * </pre>
      *
@@ -1468,7 +1538,7 @@ public com.google.protobuf.ByteString getOrderByBytes() {
      * Use "desc" after a field name for descending.
      * Supported fields:
      *   * `display_name`
-     *   * `data_item_count`   * `create_time`
+     *   * `create_time`
      *   * `update_time`
      * </pre>
      *
@@ -1494,7 +1564,7 @@ public Builder setOrderBy(java.lang.String value) {
      * Use "desc" after a field name for descending.
      * Supported fields:
      *   * `display_name`
-     *   * `data_item_count`   * `create_time`
+     *   * `create_time`
      *   * `update_time`
      * </pre>
      *
@@ -1516,7 +1586,7 @@ public Builder clearOrderBy() {
      * Use "desc" after a field name for descending.
      * Supported fields:
      *   * `display_name`
-     *   * `data_item_count`   * `create_time`
+     *   * `create_time`
      *   * `update_time`
      * </pre>
      *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsRequestOrBuilder.java
index 53573bf34..67015fddf 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsRequestOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListDatasetsRequestOrBuilder.java
@@ -58,7 +58,17 @@ public interface ListDatasetsRequestOrBuilder
    *
    *
    * <pre>
-   * The standard list filter.
+   * An expression for filtering the results of the request. For field names
+   * both snake_case and camelCase are supported.
+   *   * `display_name`: supports = and !=
+   *   * `metadata_schema_uri`: supports = and !=
+   *   * `labels` supports general map functions that is:
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
+   * Some examples:
+   *   * `displayName="myDisplayName"`
+   *   * `labels.myKey="myValue"`
    * </pre>
    *
    * <code>string filter = 2;</code>
@@ -70,7 +80,17 @@ public interface ListDatasetsRequestOrBuilder
    *
    *
    * <pre>
-   * The standard list filter.
+   * An expression for filtering the results of the request. For field names
+   * both snake_case and camelCase are supported.
+   *   * `display_name`: supports = and !=
+   *   * `metadata_schema_uri`: supports = and !=
+   *   * `labels` supports general map functions that is:
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
+   * Some examples:
+   *   * `displayName="myDisplayName"`
+   *   * `labels.myKey="myValue"`
    * </pre>
    *
    * <code>string filter = 2;</code>
@@ -160,7 +180,7 @@ public interface ListDatasetsRequestOrBuilder
    * Use "desc" after a field name for descending.
    * Supported fields:
    *   * `display_name`
-   *   * `data_item_count`   * `create_time`
+   *   * `create_time`
    *   * `update_time`
    * </pre>
    *
@@ -177,7 +197,7 @@ public interface ListDatasetsRequestOrBuilder
    * Use "desc" after a field name for descending.
    * Supported fields:
    *   * `display_name`
-   *   * `data_item_count`   * `create_time`
+   *   * `create_time`
    *   * `update_time`
    * </pre>
    *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequest.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequest.java
index ff2e69216..e39ebcc74 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequest.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequest.java
@@ -211,17 +211,15 @@ public com.google.protobuf.ByteString getParentBytes() {
    * Optional. An expression for filtering the results of the request. For field names
    * both snake_case and camelCase are supported.
    *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-   *     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-   *   * `display_name` supports =, != and regex()
-   *             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
+   *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+   *   * `display_name` supports = and, !=
    *   * `labels` supports general map functions that is:
-   *             `labels.key=value` - key:value equality
-   *             `labels.key:* or labels:key - key existence
-   *              A key including a space must be quoted. `labels."a key"`.
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
    * Some examples:
    *   * `endpoint=1`
    *   * `displayName="myDisplayName"`
-   *   * `regex(display_name, "^A") -&gt; The display name starts with an A.
    *   * `labels.myKey="myValue"`
    * </pre>
    *
@@ -248,17 +246,15 @@ public java.lang.String getFilter() {
    * Optional. An expression for filtering the results of the request. For field names
    * both snake_case and camelCase are supported.
    *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-   *     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-   *   * `display_name` supports =, != and regex()
-   *             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
+   *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+   *   * `display_name` supports = and, !=
    *   * `labels` supports general map functions that is:
-   *             `labels.key=value` - key:value equality
-   *             `labels.key:* or labels:key - key existence
-   *              A key including a space must be quoted. `labels."a key"`.
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
    * Some examples:
    *   * `endpoint=1`
    *   * `displayName="myDisplayName"`
-   *   * `regex(display_name, "^A") -&gt; The display name starts with an A.
    *   * `labels.myKey="myValue"`
    * </pre>
    *
@@ -924,17 +920,15 @@ public Builder setParentBytes(com.google.protobuf.ByteString value) {
      * Optional. An expression for filtering the results of the request. For field names
      * both snake_case and camelCase are supported.
      *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-     *     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-     *   * `display_name` supports =, != and regex()
-     *             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
+     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+     *   * `display_name` supports = and, !=
      *   * `labels` supports general map functions that is:
-     *             `labels.key=value` - key:value equality
-     *             `labels.key:* or labels:key - key existence
-     *              A key including a space must be quoted. `labels."a key"`.
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
      * Some examples:
      *   * `endpoint=1`
      *   * `displayName="myDisplayName"`
-     *   * `regex(display_name, "^A") -&gt; The display name starts with an A.
      *   * `labels.myKey="myValue"`
      * </pre>
      *
@@ -960,17 +954,15 @@ public java.lang.String getFilter() {
      * Optional. An expression for filtering the results of the request. For field names
      * both snake_case and camelCase are supported.
      *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-     *     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-     *   * `display_name` supports =, != and regex()
-     *             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
+     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+     *   * `display_name` supports = and, !=
      *   * `labels` supports general map functions that is:
-     *             `labels.key=value` - key:value equality
-     *             `labels.key:* or labels:key - key existence
-     *              A key including a space must be quoted. `labels."a key"`.
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
      * Some examples:
      *   * `endpoint=1`
      *   * `displayName="myDisplayName"`
-     *   * `regex(display_name, "^A") -&gt; The display name starts with an A.
      *   * `labels.myKey="myValue"`
      * </pre>
      *
@@ -996,17 +988,15 @@ public com.google.protobuf.ByteString getFilterBytes() {
      * Optional. An expression for filtering the results of the request. For field names
      * both snake_case and camelCase are supported.
      *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-     *     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-     *   * `display_name` supports =, != and regex()
-     *             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
+     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+     *   * `display_name` supports = and, !=
      *   * `labels` supports general map functions that is:
-     *             `labels.key=value` - key:value equality
-     *             `labels.key:* or labels:key - key existence
-     *              A key including a space must be quoted. `labels."a key"`.
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
      * Some examples:
      *   * `endpoint=1`
      *   * `displayName="myDisplayName"`
-     *   * `regex(display_name, "^A") -&gt; The display name starts with an A.
      *   * `labels.myKey="myValue"`
      * </pre>
      *
@@ -1031,17 +1021,15 @@ public Builder setFilter(java.lang.String value) {
      * Optional. An expression for filtering the results of the request. For field names
      * both snake_case and camelCase are supported.
      *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-     *     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-     *   * `display_name` supports =, != and regex()
-     *             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
+     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+     *   * `display_name` supports = and, !=
      *   * `labels` supports general map functions that is:
-     *             `labels.key=value` - key:value equality
-     *             `labels.key:* or labels:key - key existence
-     *              A key including a space must be quoted. `labels."a key"`.
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
      * Some examples:
      *   * `endpoint=1`
      *   * `displayName="myDisplayName"`
-     *   * `regex(display_name, "^A") -&gt; The display name starts with an A.
      *   * `labels.myKey="myValue"`
      * </pre>
      *
@@ -1062,17 +1050,15 @@ public Builder clearFilter() {
      * Optional. An expression for filtering the results of the request. For field names
      * both snake_case and camelCase are supported.
      *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-     *     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-     *   * `display_name` supports =, != and regex()
-     *             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
+     *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+     *   * `display_name` supports = and, !=
      *   * `labels` supports general map functions that is:
-     *             `labels.key=value` - key:value equality
-     *             `labels.key:* or labels:key - key existence
-     *              A key including a space must be quoted. `labels."a key"`.
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
      * Some examples:
      *   * `endpoint=1`
      *   * `displayName="myDisplayName"`
-     *   * `regex(display_name, "^A") -&gt; The display name starts with an A.
      *   * `labels.myKey="myValue"`
      * </pre>
      *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequestOrBuilder.java
index 11a5d8957..526e58a30 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequestOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListEndpointsRequestOrBuilder.java
@@ -61,17 +61,15 @@ public interface ListEndpointsRequestOrBuilder
    * Optional. An expression for filtering the results of the request. For field names
    * both snake_case and camelCase are supported.
    *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-   *     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-   *   * `display_name` supports =, != and regex()
-   *             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
+   *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+   *   * `display_name` supports = and, !=
    *   * `labels` supports general map functions that is:
-   *             `labels.key=value` - key:value equality
-   *             `labels.key:* or labels:key - key existence
-   *              A key including a space must be quoted. `labels."a key"`.
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
    * Some examples:
    *   * `endpoint=1`
    *   * `displayName="myDisplayName"`
-   *   * `regex(display_name, "^A") -&gt; The display name starts with an A.
    *   * `labels.myKey="myValue"`
    * </pre>
    *
@@ -87,17 +85,15 @@ public interface ListEndpointsRequestOrBuilder
    * Optional. An expression for filtering the results of the request. For field names
    * both snake_case and camelCase are supported.
    *   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-   *     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-   *   * `display_name` supports =, != and regex()
-   *             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
+   *     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+   *   * `display_name` supports = and, !=
    *   * `labels` supports general map functions that is:
-   *             `labels.key=value` - key:value equality
-   *             `labels.key:* or labels:key - key existence
-   *              A key including a space must be quoted. `labels."a key"`.
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
    * Some examples:
    *   * `endpoint=1`
    *   * `displayName="myDisplayName"`
-   *   * `regex(display_name, "^A") -&gt; The display name starts with an A.
    *   * `labels.myKey="myValue"`
    * </pre>
    *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequest.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequest.java
index 4378609ba..f91dd6a21 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequest.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequest.java
@@ -208,7 +208,19 @@ public com.google.protobuf.ByteString getParentBytes() {
    *
    *
    * <pre>
-   * The standard list filter.
+   * An expression for filtering the results of the request. For field names
+   * both snake_case and camelCase are supported.
+   *   * `model` supports = and !=. `model` represents the Model ID,
+   *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+   *   * `display_name` supports = and !=
+   *   * `labels` supports general map functions that is:
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
+   * Some examples:
+   *   * `model=1234`
+   *   * `displayName="myDisplayName"`
+   *   * `labels.myKey="myValue"`
    * </pre>
    *
    * <code>string filter = 2;</code>
@@ -231,7 +243,19 @@ public java.lang.String getFilter() {
    *
    *
    * <pre>
-   * The standard list filter.
+   * An expression for filtering the results of the request. For field names
+   * both snake_case and camelCase are supported.
+   *   * `model` supports = and !=. `model` represents the Model ID,
+   *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+   *   * `display_name` supports = and !=
+   *   * `labels` supports general map functions that is:
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
+   * Some examples:
+   *   * `model=1234`
+   *   * `displayName="myDisplayName"`
+   *   * `labels.myKey="myValue"`
    * </pre>
    *
    * <code>string filter = 2;</code>
@@ -890,7 +914,19 @@ public Builder setParentBytes(com.google.protobuf.ByteString value) {
      *
      *
      * <pre>
-     * The standard list filter.
+     * An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `model` supports = and !=. `model` represents the Model ID,
+     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+     *   * `display_name` supports = and !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `model=1234`
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
      * </pre>
      *
      * <code>string filter = 2;</code>
@@ -912,7 +948,19 @@ public java.lang.String getFilter() {
      *
      *
      * <pre>
-     * The standard list filter.
+     * An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `model` supports = and !=. `model` represents the Model ID,
+     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+     *   * `display_name` supports = and !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `model=1234`
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
      * </pre>
      *
      * <code>string filter = 2;</code>
@@ -934,7 +982,19 @@ public com.google.protobuf.ByteString getFilterBytes() {
      *
      *
      * <pre>
-     * The standard list filter.
+     * An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `model` supports = and !=. `model` represents the Model ID,
+     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+     *   * `display_name` supports = and !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `model=1234`
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
      * </pre>
      *
      * <code>string filter = 2;</code>
@@ -955,7 +1015,19 @@ public Builder setFilter(java.lang.String value) {
      *
      *
      * <pre>
-     * The standard list filter.
+     * An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `model` supports = and !=. `model` represents the Model ID,
+     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+     *   * `display_name` supports = and !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `model=1234`
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
      * </pre>
      *
      * <code>string filter = 2;</code>
@@ -972,7 +1044,19 @@ public Builder clearFilter() {
      *
      *
      * <pre>
-     * The standard list filter.
+     * An expression for filtering the results of the request. For field names
+     * both snake_case and camelCase are supported.
+     *   * `model` supports = and !=. `model` represents the Model ID,
+     *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+     *   * `display_name` supports = and !=
+     *   * `labels` supports general map functions that is:
+     *     * `labels.key=value` - key:value equality
+     *     * `labels.key:* or labels:key - key existence
+     *     * A key including a space must be quoted. `labels."a key"`.
+     * Some examples:
+     *   * `model=1234`
+     *   * `displayName="myDisplayName"`
+     *   * `labels.myKey="myValue"`
      * </pre>
      *
      * <code>string filter = 2;</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequestOrBuilder.java
index b72b77ea2..8b752cb44 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequestOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ListModelsRequestOrBuilder.java
@@ -58,7 +58,19 @@ public interface ListModelsRequestOrBuilder
    *
    *
    * <pre>
-   * The standard list filter.
+   * An expression for filtering the results of the request. For field names
+   * both snake_case and camelCase are supported.
+   *   * `model` supports = and !=. `model` represents the Model ID,
+   *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+   *   * `display_name` supports = and !=
+   *   * `labels` supports general map functions that is:
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
+   * Some examples:
+   *   * `model=1234`
+   *   * `displayName="myDisplayName"`
+   *   * `labels.myKey="myValue"`
    * </pre>
    *
    * <code>string filter = 2;</code>
@@ -70,7 +82,19 @@ public interface ListModelsRequestOrBuilder
    *
    *
    * <pre>
-   * The standard list filter.
+   * An expression for filtering the results of the request. For field names
+   * both snake_case and camelCase are supported.
+   *   * `model` supports = and !=. `model` represents the Model ID,
+   *     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+   *   * `display_name` supports = and !=
+   *   * `labels` supports general map functions that is:
+   *     * `labels.key=value` - key:value equality
+   *     * `labels.key:* or labels:key - key existence
+   *     * A key including a space must be quoted. `labels."a key"`.
+   * Some examples:
+   *   * `model=1234`
+   *   * `displayName="myDisplayName"`
+   *   * `labels.myKey="myValue"`
    * </pre>
    *
    * <code>string filter = 2;</code>
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpec.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpec.java
index 44b16c16c..1f71333d7 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpec.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpec.java
@@ -130,25 +130,12 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * <pre>
-   * Immutable. The type of the machine.
-   * Following machine types are supported:
-   * * `n1-standard-2`
-   * * `n1-standard-4`
-   * * `n1-standard-8`
-   * * `n1-standard-16`
-   * * `n1-standard-32`
-   * * `n1-highmem-2`
-   * * `n1-highmem-4`
-   * * `n1-highmem-8`
-   * * `n1-highmem-16`
-   * * `n1-highmem-32`
-   * * `n1-highcpu-2`
-   * * `n1-highcpu-4`
-   * * `n1-highcpu-8`
-   * * `n1-highcpu-16`
-   * * `n1-highcpu-32`
-   * When used for [DeployedMode][] this field is optional and the default value
-   * is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+   * Immutable. The type of the machine. For the machine types supported for prediction,
+   * see https://tinyurl.com/aip-docs/predictions/machine-types.
+   * For machine types supported for creating a custom training job, see
+   * https://tinyurl.com/aip-docs/training/configure-compute.
+   * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
+   * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
    * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
    * </pre>
    *
@@ -172,25 +159,12 @@ public java.lang.String getMachineType() {
    *
    *
    * <pre>
-   * Immutable. The type of the machine.
-   * Following machine types are supported:
-   * * `n1-standard-2`
-   * * `n1-standard-4`
-   * * `n1-standard-8`
-   * * `n1-standard-16`
-   * * `n1-standard-32`
-   * * `n1-highmem-2`
-   * * `n1-highmem-4`
-   * * `n1-highmem-8`
-   * * `n1-highmem-16`
-   * * `n1-highmem-32`
-   * * `n1-highcpu-2`
-   * * `n1-highcpu-4`
-   * * `n1-highcpu-8`
-   * * `n1-highcpu-16`
-   * * `n1-highcpu-32`
-   * When used for [DeployedMode][] this field is optional and the default value
-   * is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+   * Immutable. The type of the machine. For the machine types supported for prediction,
+   * see https://tinyurl.com/aip-docs/predictions/machine-types.
+   * For machine types supported for creating a custom training job, see
+   * https://tinyurl.com/aip-docs/training/configure-compute.
+   * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
+   * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
    * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
    * </pre>
    *
@@ -629,25 +603,12 @@ public Builder mergeFrom(
      *
      *
      * <pre>
-     * Immutable. The type of the machine.
-     * Following machine types are supported:
-     * * `n1-standard-2`
-     * * `n1-standard-4`
-     * * `n1-standard-8`
-     * * `n1-standard-16`
-     * * `n1-standard-32`
-     * * `n1-highmem-2`
-     * * `n1-highmem-4`
-     * * `n1-highmem-8`
-     * * `n1-highmem-16`
-     * * `n1-highmem-32`
-     * * `n1-highcpu-2`
-     * * `n1-highcpu-4`
-     * * `n1-highcpu-8`
-     * * `n1-highcpu-16`
-     * * `n1-highcpu-32`
-     * When used for [DeployedMode][] this field is optional and the default value
-     * is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+     * Immutable. The type of the machine. For the machine types supported for prediction,
+     * see https://tinyurl.com/aip-docs/predictions/machine-types.
+     * For machine types supported for creating a custom training job, see
+     * https://tinyurl.com/aip-docs/training/configure-compute.
+     * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
+     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
      * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
      * </pre>
      *
@@ -670,25 +631,12 @@ public java.lang.String getMachineType() {
      *
      *
      * <pre>
-     * Immutable. The type of the machine.
-     * Following machine types are supported:
-     * * `n1-standard-2`
-     * * `n1-standard-4`
-     * * `n1-standard-8`
-     * * `n1-standard-16`
-     * * `n1-standard-32`
-     * * `n1-highmem-2`
-     * * `n1-highmem-4`
-     * * `n1-highmem-8`
-     * * `n1-highmem-16`
-     * * `n1-highmem-32`
-     * * `n1-highcpu-2`
-     * * `n1-highcpu-4`
-     * * `n1-highcpu-8`
-     * * `n1-highcpu-16`
-     * * `n1-highcpu-32`
-     * When used for [DeployedMode][] this field is optional and the default value
-     * is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+     * Immutable. The type of the machine. For the machine types supported for prediction,
+     * see https://tinyurl.com/aip-docs/predictions/machine-types.
+     * For machine types supported for creating a custom training job, see
+     * https://tinyurl.com/aip-docs/training/configure-compute.
+     * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
+     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
      * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
      * </pre>
      *
@@ -711,25 +659,12 @@ public com.google.protobuf.ByteString getMachineTypeBytes() {
      *
      *
      * <pre>
-     * Immutable. The type of the machine.
-     * Following machine types are supported:
-     * * `n1-standard-2`
-     * * `n1-standard-4`
-     * * `n1-standard-8`
-     * * `n1-standard-16`
-     * * `n1-standard-32`
-     * * `n1-highmem-2`
-     * * `n1-highmem-4`
-     * * `n1-highmem-8`
-     * * `n1-highmem-16`
-     * * `n1-highmem-32`
-     * * `n1-highcpu-2`
-     * * `n1-highcpu-4`
-     * * `n1-highcpu-8`
-     * * `n1-highcpu-16`
-     * * `n1-highcpu-32`
-     * When used for [DeployedMode][] this field is optional and the default value
-     * is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+     * Immutable. The type of the machine. For the machine types supported for prediction,
+     * see https://tinyurl.com/aip-docs/predictions/machine-types.
+     * For machine types supported for creating a custom training job, see
+     * https://tinyurl.com/aip-docs/training/configure-compute.
+     * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
+     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
      * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
      * </pre>
      *
@@ -751,25 +686,12 @@ public Builder setMachineType(java.lang.String value) {
      *
      *
      * <pre>
-     * Immutable. The type of the machine.
-     * Following machine types are supported:
-     * * `n1-standard-2`
-     * * `n1-standard-4`
-     * * `n1-standard-8`
-     * * `n1-standard-16`
-     * * `n1-standard-32`
-     * * `n1-highmem-2`
-     * * `n1-highmem-4`
-     * * `n1-highmem-8`
-     * * `n1-highmem-16`
-     * * `n1-highmem-32`
-     * * `n1-highcpu-2`
-     * * `n1-highcpu-4`
-     * * `n1-highcpu-8`
-     * * `n1-highcpu-16`
-     * * `n1-highcpu-32`
-     * When used for [DeployedMode][] this field is optional and the default value
-     * is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+     * Immutable. The type of the machine. For the machine types supported for prediction,
+     * see https://tinyurl.com/aip-docs/predictions/machine-types.
+     * For machine types supported for creating a custom training job, see
+     * https://tinyurl.com/aip-docs/training/configure-compute.
+     * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
+     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
      * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
      * </pre>
      *
@@ -787,25 +709,12 @@ public Builder clearMachineType() {
      *
      *
      * <pre>
-     * Immutable. The type of the machine.
-     * Following machine types are supported:
-     * * `n1-standard-2`
-     * * `n1-standard-4`
-     * * `n1-standard-8`
-     * * `n1-standard-16`
-     * * `n1-standard-32`
-     * * `n1-highmem-2`
-     * * `n1-highmem-4`
-     * * `n1-highmem-8`
-     * * `n1-highmem-16`
-     * * `n1-highmem-32`
-     * * `n1-highcpu-2`
-     * * `n1-highcpu-4`
-     * * `n1-highcpu-8`
-     * * `n1-highcpu-16`
-     * * `n1-highcpu-32`
-     * When used for [DeployedMode][] this field is optional and the default value
-     * is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+     * Immutable. The type of the machine. For the machine types supported for prediction,
+     * see https://tinyurl.com/aip-docs/predictions/machine-types.
+     * For machine types supported for creating a custom training job, see
+     * https://tinyurl.com/aip-docs/training/configure-compute.
+     * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
+     * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
      * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
      * </pre>
      *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpecOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpecOrBuilder.java
index 854e04550..43a7bc1d7 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpecOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MachineSpecOrBuilder.java
@@ -27,25 +27,12 @@ public interface MachineSpecOrBuilder
    *
    *
    * <pre>
-   * Immutable. The type of the machine.
-   * Following machine types are supported:
-   * * `n1-standard-2`
-   * * `n1-standard-4`
-   * * `n1-standard-8`
-   * * `n1-standard-16`
-   * * `n1-standard-32`
-   * * `n1-highmem-2`
-   * * `n1-highmem-4`
-   * * `n1-highmem-8`
-   * * `n1-highmem-16`
-   * * `n1-highmem-32`
-   * * `n1-highcpu-2`
-   * * `n1-highcpu-4`
-   * * `n1-highcpu-8`
-   * * `n1-highcpu-16`
-   * * `n1-highcpu-32`
-   * When used for [DeployedMode][] this field is optional and the default value
-   * is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+   * Immutable. The type of the machine. For the machine types supported for prediction,
+   * see https://tinyurl.com/aip-docs/predictions/machine-types.
+   * For machine types supported for creating a custom training job, see
+   * https://tinyurl.com/aip-docs/training/configure-compute.
+   * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
+   * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
    * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
    * </pre>
    *
@@ -58,25 +45,12 @@ public interface MachineSpecOrBuilder
    *
    *
    * <pre>
-   * Immutable. The type of the machine.
-   * Following machine types are supported:
-   * * `n1-standard-2`
-   * * `n1-standard-4`
-   * * `n1-standard-8`
-   * * `n1-standard-16`
-   * * `n1-standard-32`
-   * * `n1-highmem-2`
-   * * `n1-highmem-4`
-   * * `n1-highmem-8`
-   * * `n1-highmem-16`
-   * * `n1-highmem-32`
-   * * `n1-highcpu-2`
-   * * `n1-highcpu-4`
-   * * `n1-highcpu-8`
-   * * `n1-highcpu-16`
-   * * `n1-highcpu-32`
-   * When used for [DeployedMode][] this field is optional and the default value
-   * is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+   * Immutable. The type of the machine. For the machine types supported for prediction,
+   * see https://tinyurl.com/aip-docs/predictions/machine-types.
+   * For machine types supported for creating a custom training job, see
+   * https://tinyurl.com/aip-docs/training/configure-compute.
+   * For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
+   * value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
    * [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
    * </pre>
    *
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceProto.java
index 787ef260e..81177ae42 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/MigrationServiceProto.java
@@ -75,6 +75,10 @@ public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry r
       internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
       internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_PartialResult_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_PartialResult_fieldAccessorTable;
 
   public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     return descriptor;
@@ -95,86 +99,97 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "rm/v1beta1/migratable_resource.proto\032/go"
           + "ogle/cloud/aiplatform/v1beta1/operation."
           + "proto\032#google/longrunning/operations.pro"
-          + "to\"\204\001\n SearchMigratableResourcesRequest\022"
-          + "9\n\006parent\030\001 \001(\tB)\340A\002\372A#\n!locations.googl"
-          + "eapis.com/Location\022\021\n\tpage_size\030\002 \001(\005\022\022\n"
-          + "\npage_token\030\003 \001(\t\"\217\001\n!SearchMigratableRe"
-          + "sourcesResponse\022Q\n\024migratable_resources\030"
-          + "\001 \003(\01323.google.cloud.aiplatform.v1beta1."
-          + "MigratableResource\022\027\n\017next_page_token\030\002 "
-          + "\001(\t\"\272\001\n\034BatchMigrateResourcesRequest\0229\n\006"
-          + "parent\030\001 \001(\tB)\340A\002\372A#\n!locations.googleap"
-          + "is.com/Location\022_\n\031migrate_resource_requ"
-          + "ests\030\002 \003(\01327.google.cloud.aiplatform.v1b"
-          + "eta1.MigrateResourceRequestB\003\340A\002\"\374\n\n\026Mig"
-          + "rateResourceRequest\022\213\001\n&migrate_ml_engin"
-          + "e_model_version_config\030\001 \001(\0132Y.google.cl"
-          + "oud.aiplatform.v1beta1.MigrateResourceRe"
-          + "quest.MigrateMlEngineModelVersionConfigH"
-          + "\000\022w\n\033migrate_automl_model_config\030\002 \001(\0132P"
+          + "to\032\027google/rpc/status.proto\"\224\001\n SearchMi"
+          + "gratableResourcesRequest\0229\n\006parent\030\001 \001(\t"
+          + "B)\340A\002\372A#\n!locations.googleapis.com/Locat"
+          + "ion\022\021\n\tpage_size\030\002 \001(\005\022\022\n\npage_token\030\003 \001"
+          + "(\t\022\016\n\006filter\030\004 \001(\t\"\217\001\n!SearchMigratableR"
+          + "esourcesResponse\022Q\n\024migratable_resources"
+          + "\030\001 \003(\01323.google.cloud.aiplatform.v1beta1"
+          + ".MigratableResource\022\027\n\017next_page_token\030\002"
+          + " \001(\t\"\272\001\n\034BatchMigrateResourcesRequest\0229\n"
+          + "\006parent\030\001 \001(\tB)\340A\002\372A#\n!locations.googlea"
+          + "pis.com/Location\022_\n\031migrate_resource_req"
+          + "uests\030\002 \003(\01327.google.cloud.aiplatform.v1"
+          + "beta1.MigrateResourceRequestB\003\340A\002\"\374\n\n\026Mi"
+          + "grateResourceRequest\022\213\001\n&migrate_ml_engi"
+          + "ne_model_version_config\030\001 \001(\0132Y.google.c"
+          + "loud.aiplatform.v1beta1.MigrateResourceR"
+          + "equest.MigrateMlEngineModelVersionConfig"
+          + "H\000\022w\n\033migrate_automl_model_config\030\002 \001(\0132"
+          + "P.google.cloud.aiplatform.v1beta1.Migrat"
+          + "eResourceRequest.MigrateAutomlModelConfi"
+          + "gH\000\022{\n\035migrate_automl_dataset_config\030\003 \001"
+          + "(\0132R.google.cloud.aiplatform.v1beta1.Mig"
+          + "rateResourceRequest.MigrateAutomlDataset"
+          + "ConfigH\000\022\210\001\n$migrate_data_labeling_datas"
+          + "et_config\030\004 \001(\0132X.google.cloud.aiplatfor"
+          + "m.v1beta1.MigrateResourceRequest.Migrate"
+          + "DataLabelingDatasetConfigH\000\032\225\001\n!MigrateM"
+          + "lEngineModelVersionConfig\022\025\n\010endpoint\030\001 "
+          + "\001(\tB\003\340A\002\0228\n\rmodel_version\030\002 \001(\tB!\340A\002\372A\033\n"
+          + "\031ml.googleapis.com/Version\022\037\n\022model_disp"
+          + "lay_name\030\003 \001(\tB\003\340A\002\032o\n\030MigrateAutomlMode"
+          + "lConfig\0222\n\005model\030\001 \001(\tB#\340A\002\372A\035\n\033automl.g"
+          + "oogleapis.com/Model\022\037\n\022model_display_nam"
+          + "e\030\002 \001(\tB\003\340A\001\032w\n\032MigrateAutomlDatasetConf"
+          + "ig\0226\n\007dataset\030\001 \001(\tB%\340A\002\372A\037\n\035automl.goog"
+          + "leapis.com/Dataset\022!\n\024dataset_display_na"
+          + "me\030\002 \001(\tB\003\340A\002\032\305\003\n MigrateDataLabelingDat"
+          + "asetConfig\022<\n\007dataset\030\001 \001(\tB+\340A\002\372A%\n#dat"
+          + "alabeling.googleapis.com/Dataset\022!\n\024data"
+          + "set_display_name\030\002 \001(\tB\003\340A\001\022\301\001\n/migrate_"
+          + "data_labeling_annotated_dataset_configs\030"
+          + "\003 \003(\0132\202\001.google.cloud.aiplatform.v1beta1"
+          + ".MigrateResourceRequest.MigrateDataLabel"
+          + "ingDatasetConfig.MigrateDataLabelingAnno"
+          + "tatedDatasetConfigB\003\340A\001\032|\n)MigrateDataLa"
+          + "belingAnnotatedDatasetConfig\022O\n\021annotate"
+          + "d_dataset\030\001 \001(\tB4\340A\002\372A.\n,datalabeling.go"
+          + "ogleapis.com/AnnotatedDatasetB\t\n\007request"
+          + "\"}\n\035BatchMigrateResourcesResponse\022\\\n\032mig"
+          + "rate_resource_responses\030\001 \003(\01328.google.c"
+          + "loud.aiplatform.v1beta1.MigrateResourceR"
+          + "esponse\"\362\001\n\027MigrateResourceResponse\0229\n\007d"
+          + "ataset\030\001 \001(\tB&\372A#\n!aiplatform.googleapis"
+          + ".com/DatasetH\000\0225\n\005model\030\002 \001(\tB$\372A!\n\037aipl"
+          + "atform.googleapis.com/ModelH\000\022P\n\023migrata"
+          + "ble_resource\030\003 \001(\01323.google.cloud.aiplat"
+          + "form.v1beta1.MigratableResourceB\023\n\021migra"
+          + "ted_resource\"\352\003\n&BatchMigrateResourcesOp"
+          + "erationMetadata\022S\n\020generic_metadata\030\001 \001("
+          + "\01329.google.cloud.aiplatform.v1beta1.Gene"
+          + "ricOperationMetadata\022n\n\017partial_results\030"
+          + "\002 \003(\0132U.google.cloud.aiplatform.v1beta1."
+          + "BatchMigrateResourcesOperationMetadata.P"
+          + "artialResult\032\372\001\n\rPartialResult\022#\n\005error\030"
+          + "\002 \001(\0132\022.google.rpc.StatusH\000\0225\n\005model\030\003 \001"
+          + "(\tB$\372A!\n\037aiplatform.googleapis.com/Model"
+          + "H\000\0229\n\007dataset\030\004 \001(\tB&\372A#\n!aiplatform.goo"
+          + "gleapis.com/DatasetH\000\022H\n\007request\030\001 \001(\01327"
           + ".google.cloud.aiplatform.v1beta1.Migrate"
-          + "ResourceRequest.MigrateAutomlModelConfig"
-          + "H\000\022{\n\035migrate_automl_dataset_config\030\003 \001("
-          + "\0132R.google.cloud.aiplatform.v1beta1.Migr"
-          + "ateResourceRequest.MigrateAutomlDatasetC"
-          + "onfigH\000\022\210\001\n$migrate_data_labeling_datase"
-          + "t_config\030\004 \001(\0132X.google.cloud.aiplatform"
-          + ".v1beta1.MigrateResourceRequest.MigrateD"
-          + "ataLabelingDatasetConfigH\000\032\225\001\n!MigrateMl"
-          + "EngineModelVersionConfig\022\025\n\010endpoint\030\001 \001"
-          + "(\tB\003\340A\002\0228\n\rmodel_version\030\002 \001(\tB!\340A\002\372A\033\n\031"
-          + "ml.googleapis.com/Version\022\037\n\022model_displ"
-          + "ay_name\030\003 \001(\tB\003\340A\002\032o\n\030MigrateAutomlModel"
-          + "Config\0222\n\005model\030\001 \001(\tB#\340A\002\372A\035\n\033automl.go"
-          + "ogleapis.com/Model\022\037\n\022model_display_name"
-          + "\030\002 \001(\tB\003\340A\001\032w\n\032MigrateAutomlDatasetConfi"
-          + "g\0226\n\007dataset\030\001 \001(\tB%\340A\002\372A\037\n\035automl.googl"
-          + "eapis.com/Dataset\022!\n\024dataset_display_nam"
-          + "e\030\002 \001(\tB\003\340A\002\032\305\003\n MigrateDataLabelingData"
-          + "setConfig\022<\n\007dataset\030\001 \001(\tB+\340A\002\372A%\n#data"
-          + "labeling.googleapis.com/Dataset\022!\n\024datas"
-          + "et_display_name\030\002 \001(\tB\003\340A\001\022\301\001\n/migrate_d"
-          + "ata_labeling_annotated_dataset_configs\030\003"
-          + " \003(\0132\202\001.google.cloud.aiplatform.v1beta1."
-          + "MigrateResourceRequest.MigrateDataLabeli"
-          + "ngDatasetConfig.MigrateDataLabelingAnnot"
-          + "atedDatasetConfigB\003\340A\001\032|\n)MigrateDataLab"
-          + "elingAnnotatedDatasetConfig\022O\n\021annotated"
-          + "_dataset\030\001 \001(\tB4\340A\002\372A.\n,datalabeling.goo"
-          + "gleapis.com/AnnotatedDatasetB\t\n\007request\""
-          + "}\n\035BatchMigrateResourcesResponse\022\\\n\032migr"
-          + "ate_resource_responses\030\001 \003(\01328.google.cl"
-          + "oud.aiplatform.v1beta1.MigrateResourceRe"
-          + "sponse\"\362\001\n\027MigrateResourceResponse\0229\n\007da"
-          + "taset\030\001 \001(\tB&\372A#\n!aiplatform.googleapis."
-          + "com/DatasetH\000\0225\n\005model\030\002 \001(\tB$\372A!\n\037aipla"
-          + "tform.googleapis.com/ModelH\000\022P\n\023migratab"
-          + "le_resource\030\003 \001(\01323.google.cloud.aiplatf"
-          + "orm.v1beta1.MigratableResourceB\023\n\021migrat"
-          + "ed_resource\"}\n&BatchMigrateResourcesOper"
-          + "ationMetadata\022S\n\020generic_metadata\030\001 \001(\0132"
-          + "9.google.cloud.aiplatform.v1beta1.Generi"
-          + "cOperationMetadata2\233\005\n\020MigrationService\022"
-          + "\373\001\n\031SearchMigratableResources\022A.google.c"
-          + "loud.aiplatform.v1beta1.SearchMigratable"
-          + "ResourcesRequest\032B.google.cloud.aiplatfo"
-          + "rm.v1beta1.SearchMigratableResourcesResp"
-          + "onse\"W\202\323\344\223\002H\"C/v1beta1/{parent=projects/"
-          + "*/locations/*}/migratableResources:searc"
-          + "h:\001*\332A\006parent\022\271\002\n\025BatchMigrateResources\022"
-          + "=.google.cloud.aiplatform.v1beta1.BatchM"
-          + "igrateResourcesRequest\032\035.google.longrunn"
-          + "ing.Operation\"\301\001\202\323\344\223\002N\"I/v1beta1/{parent"
-          + "=projects/*/locations/*}/migratableResou"
-          + "rces:batchMigrate:\001*\332A parent,migrate_re"
-          + "source_requests\312AG\n\035BatchMigrateResource"
-          + "sResponse\022&BatchMigrateResourcesOperatio"
-          + "nMetadata\032M\312A\031aiplatform.googleapis.com\322"
-          + "A.https://www.googleapis.com/auth/cloud-"
-          + "platformB\211\001\n#com.google.cloud.aiplatform"
-          + ".v1beta1B\025MigrationServiceProtoP\001ZIgoogl"
-          + "e.golang.org/genproto/googleapis/cloud/a"
-          + "iplatform/v1beta1;aiplatformb\006proto3"
+          + "ResourceRequestB\010\n\006result2\233\005\n\020MigrationS"
+          + "ervice\022\373\001\n\031SearchMigratableResources\022A.g"
+          + "oogle.cloud.aiplatform.v1beta1.SearchMig"
+          + "ratableResourcesRequest\032B.google.cloud.a"
+          + "iplatform.v1beta1.SearchMigratableResour"
+          + "cesResponse\"W\202\323\344\223\002H\"C/v1beta1/{parent=pr"
+          + "ojects/*/locations/*}/migratableResource"
+          + "s:search:\001*\332A\006parent\022\271\002\n\025BatchMigrateRes"
+          + "ources\022=.google.cloud.aiplatform.v1beta1"
+          + ".BatchMigrateResourcesRequest\032\035.google.l"
+          + "ongrunning.Operation\"\301\001\202\323\344\223\002N\"I/v1beta1/"
+          + "{parent=projects/*/locations/*}/migratab"
+          + "leResources:batchMigrate:\001*\332A parent,mig"
+          + "rate_resource_requests\312AG\n\035BatchMigrateR"
+          + "esourcesResponse\022&BatchMigrateResourcesO"
+          + "perationMetadata\032M\312A\031aiplatform.googleap"
+          + "is.com\322A.https://www.googleapis.com/auth"
+          + "/cloud-platformB\211\001\n#com.google.cloud.aip"
+          + "latform.v1beta1B\025MigrationServiceProtoP\001"
+          + "ZIgoogle.golang.org/genproto/googleapis/"
+          + "cloud/aiplatform/v1beta1;aiplatformb\006pro"
+          + "to3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -189,6 +204,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               com.google.cloud.aiplatform.v1beta1.MigratableResourceProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.OperationProto.getDescriptor(),
               com.google.longrunning.OperationsProto.getDescriptor(),
+              com.google.rpc.StatusProto.getDescriptor(),
             });
     internal_static_google_cloud_aiplatform_v1beta1_SearchMigratableResourcesRequest_descriptor =
         getDescriptor().getMessageTypes().get(0);
@@ -196,7 +212,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_SearchMigratableResourcesRequest_descriptor,
             new java.lang.String[] {
-              "Parent", "PageSize", "PageToken",
+              "Parent", "PageSize", "PageToken", "Filter",
             });
     internal_static_google_cloud_aiplatform_v1beta1_SearchMigratableResourcesResponse_descriptor =
         getDescriptor().getMessageTypes().get(1);
@@ -298,7 +314,17 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_descriptor,
             new java.lang.String[] {
-              "GenericMetadata",
+              "GenericMetadata", "PartialResults",
+            });
+    internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_PartialResult_descriptor =
+        internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_PartialResult_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1beta1_BatchMigrateResourcesOperationMetadata_PartialResult_descriptor,
+            new java.lang.String[] {
+              "Error", "Model", "Dataset", "Request", "Result",
             });
     com.google.protobuf.ExtensionRegistry registry =
         com.google.protobuf.ExtensionRegistry.newInstance();
@@ -320,6 +346,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     com.google.cloud.aiplatform.v1beta1.MigratableResourceProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.OperationProto.getDescriptor();
     com.google.longrunning.OperationsProto.getDescriptor();
+    com.google.rpc.StatusProto.getDescriptor();
   }
 
   // @@protoc_insertion_point(outer_class_scope)
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Model.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Model.java
index 14d76fee0..e7fcfc7af 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Model.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Model.java
@@ -302,6 +302,23 @@ private Model(
                 explanationSpec_ = subBuilder.buildPartial();
               }
 
+              break;
+            }
+          case 194:
+            {
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder subBuilder = null;
+              if (encryptionSpec_ != null) {
+                subBuilder = encryptionSpec_.toBuilder();
+              }
+              encryptionSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1beta1.EncryptionSpec.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(encryptionSpec_);
+                encryptionSpec_ = subBuilder.buildPartial();
+              }
+
               break;
             }
           case 210:
@@ -2790,6 +2807,10 @@ public int getSupportedDeploymentResourcesTypesValue(int index) {
    * * `bigquery`
    * Each instance is a single row in BigQuery. Uses
    * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+   * * `file-list`
+   * Each line of the file is the location of an instance to process, uses
+   * `gcs_source` field of the
+   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
    * If this Model doesn't support any of these formats it means it cannot be
    * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
    * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -2831,6 +2852,10 @@ public com.google.protobuf.ProtocolStringList getSupportedInputStorageFormatsLis
    * * `bigquery`
    * Each instance is a single row in BigQuery. Uses
    * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+   * * `file-list`
+   * Each line of the file is the location of an instance to process, uses
+   * `gcs_source` field of the
+   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
    * If this Model doesn't support any of these formats it means it cannot be
    * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
    * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -2872,6 +2897,10 @@ public int getSupportedInputStorageFormatsCount() {
    * * `bigquery`
    * Each instance is a single row in BigQuery. Uses
    * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+   * * `file-list`
+   * Each line of the file is the location of an instance to process, uses
+   * `gcs_source` field of the
+   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
    * If this Model doesn't support any of these formats it means it cannot be
    * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
    * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -2914,6 +2943,10 @@ public java.lang.String getSupportedInputStorageFormats(int index) {
    * * `bigquery`
    * Each instance is a single row in BigQuery. Uses
    * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+   * * `file-list`
+   * Each line of the file is the location of an instance to process, uses
+   * `gcs_source` field of the
+   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
    * If this Model doesn't support any of these formats it means it cannot be
    * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
    * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -3287,19 +3320,20 @@ public com.google.cloud.aiplatform.v1beta1.DeployedModelRefOrBuilder getDeployed
    *
    *
    * <pre>
-   * Output only. The default explanation specification for this Model.
-   * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-   * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+   * The default explanation specification for this Model.
+   * The Model can be used for [requesting
+   * explanation][PredictionService.Explain] after being
+   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+   * The Model can be used for [batch
+   * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
    * All fields of the explanation_spec can be overridden by
    * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-   * This field is populated only for tabular AutoML Models.
-   * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
    * </pre>
    *
-   * <code>
-   * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-   * </code>
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
    *
    * @return Whether the explanationSpec field is set.
    */
@@ -3311,19 +3345,20 @@ public boolean hasExplanationSpec() {
    *
    *
    * <pre>
-   * Output only. The default explanation specification for this Model.
-   * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-   * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+   * The default explanation specification for this Model.
+   * The Model can be used for [requesting
+   * explanation][PredictionService.Explain] after being
+   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+   * The Model can be used for [batch
+   * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
    * All fields of the explanation_spec can be overridden by
    * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-   * This field is populated only for tabular AutoML Models.
-   * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
    * </pre>
    *
-   * <code>
-   * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-   * </code>
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
    *
    * @return The explanationSpec.
    */
@@ -3337,19 +3372,20 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec getExplanationSpec()
    *
    *
    * <pre>
-   * Output only. The default explanation specification for this Model.
-   * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-   * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+   * The default explanation specification for this Model.
+   * The Model can be used for [requesting
+   * explanation][PredictionService.Explain] after being
+   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+   * The Model can be used for [batch
+   * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
    * All fields of the explanation_spec can be overridden by
    * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-   * This field is populated only for tabular AutoML Models.
-   * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
    * </pre>
    *
-   * <code>
-   * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-   * </code>
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
    */
   @java.lang.Override
   public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOrBuilder
@@ -3522,6 +3558,57 @@ public java.lang.String getLabelsOrThrow(java.lang.String key) {
     return map.get(key);
   }
 
+  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 24;
+  private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Model. If set, this
+   * Model and all sub-resources of this Model will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasEncryptionSpec() {
+    return encryptionSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Model. If set, this
+   * Model and all sub-resources of this Model will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+    return encryptionSpec_ == null
+        ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+        : encryptionSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Model. If set, this
+   * Model and all sub-resources of this Model will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+    return getEncryptionSpec();
+  }
+
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -3596,6 +3683,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (explanationSpec_ != null) {
       output.writeMessage(23, getExplanationSpec());
     }
+    if (encryptionSpec_ != null) {
+      output.writeMessage(24, getEncryptionSpec());
+    }
     if (!getArtifactUriBytes().isEmpty()) {
       com.google.protobuf.GeneratedMessageV3.writeString(output, 26, artifactUri_);
     }
@@ -3692,6 +3782,9 @@ public int getSerializedSize() {
     if (explanationSpec_ != null) {
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(23, getExplanationSpec());
     }
+    if (encryptionSpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(24, getEncryptionSpec());
+    }
     if (!getArtifactUriBytes().isEmpty()) {
       size += com.google.protobuf.GeneratedMessageV3.computeStringSize(26, artifactUri_);
     }
@@ -3752,6 +3845,10 @@ public boolean equals(final java.lang.Object obj) {
     }
     if (!getEtag().equals(other.getEtag())) return false;
     if (!internalGetLabels().equals(other.internalGetLabels())) return false;
+    if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
+    if (hasEncryptionSpec()) {
+      if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
+    }
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -3825,6 +3922,10 @@ public int hashCode() {
       hash = (37 * hash) + LABELS_FIELD_NUMBER;
       hash = (53 * hash) + internalGetLabels().hashCode();
     }
+    if (hasEncryptionSpec()) {
+      hash = (37 * hash) + ENCRYPTION_SPEC_FIELD_NUMBER;
+      hash = (53 * hash) + getEncryptionSpec().hashCode();
+    }
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -4062,6 +4163,12 @@ public Builder clear() {
       etag_ = "";
 
       internalGetMutableLabels().clear();
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
       return this;
     }
 
@@ -4163,6 +4270,11 @@ public com.google.cloud.aiplatform.v1beta1.Model buildPartial() {
       result.etag_ = etag_;
       result.labels_ = internalGetLabels();
       result.labels_.makeImmutable();
+      if (encryptionSpecBuilder_ == null) {
+        result.encryptionSpec_ = encryptionSpec_;
+      } else {
+        result.encryptionSpec_ = encryptionSpecBuilder_.build();
+      }
       onBuilt();
       return result;
     }
@@ -4343,6 +4455,9 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.Model other) {
         onChanged();
       }
       internalGetMutableLabels().mergeFrom(other.internalGetLabels());
+      if (other.hasEncryptionSpec()) {
+        mergeEncryptionSpec(other.getEncryptionSpec());
+      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -6564,6 +6679,10 @@ private void ensureSupportedInputStorageFormatsIsMutable() {
      * * `bigquery`
      * Each instance is a single row in BigQuery. Uses
      * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+     * * `file-list`
+     * Each line of the file is the location of an instance to process, uses
+     * `gcs_source` field of the
+     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
      * If this Model doesn't support any of these formats it means it cannot be
      * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
      * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -6605,6 +6724,10 @@ public com.google.protobuf.ProtocolStringList getSupportedInputStorageFormatsLis
      * * `bigquery`
      * Each instance is a single row in BigQuery. Uses
      * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+     * * `file-list`
+     * Each line of the file is the location of an instance to process, uses
+     * `gcs_source` field of the
+     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
      * If this Model doesn't support any of these formats it means it cannot be
      * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
      * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -6646,6 +6769,10 @@ public int getSupportedInputStorageFormatsCount() {
      * * `bigquery`
      * Each instance is a single row in BigQuery. Uses
      * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+     * * `file-list`
+     * Each line of the file is the location of an instance to process, uses
+     * `gcs_source` field of the
+     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
      * If this Model doesn't support any of these formats it means it cannot be
      * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
      * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -6688,6 +6815,10 @@ public java.lang.String getSupportedInputStorageFormats(int index) {
      * * `bigquery`
      * Each instance is a single row in BigQuery. Uses
      * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+     * * `file-list`
+     * Each line of the file is the location of an instance to process, uses
+     * `gcs_source` field of the
+     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
      * If this Model doesn't support any of these formats it means it cannot be
      * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
      * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -6730,6 +6861,10 @@ public com.google.protobuf.ByteString getSupportedInputStorageFormatsBytes(int i
      * * `bigquery`
      * Each instance is a single row in BigQuery. Uses
      * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+     * * `file-list`
+     * Each line of the file is the location of an instance to process, uses
+     * `gcs_source` field of the
+     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
      * If this Model doesn't support any of these formats it means it cannot be
      * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
      * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -6779,6 +6914,10 @@ public Builder setSupportedInputStorageFormats(int index, java.lang.String value
      * * `bigquery`
      * Each instance is a single row in BigQuery. Uses
      * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+     * * `file-list`
+     * Each line of the file is the location of an instance to process, uses
+     * `gcs_source` field of the
+     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
      * If this Model doesn't support any of these formats it means it cannot be
      * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
      * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -6827,6 +6966,10 @@ public Builder addSupportedInputStorageFormats(java.lang.String value) {
      * * `bigquery`
      * Each instance is a single row in BigQuery. Uses
      * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+     * * `file-list`
+     * Each line of the file is the location of an instance to process, uses
+     * `gcs_source` field of the
+     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
      * If this Model doesn't support any of these formats it means it cannot be
      * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
      * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -6872,6 +7015,10 @@ public Builder addAllSupportedInputStorageFormats(java.lang.Iterable<java.lang.S
      * * `bigquery`
      * Each instance is a single row in BigQuery. Uses
      * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+     * * `file-list`
+     * Each line of the file is the location of an instance to process, uses
+     * `gcs_source` field of the
+     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
      * If this Model doesn't support any of these formats it means it cannot be
      * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
      * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -6916,6 +7063,10 @@ public Builder clearSupportedInputStorageFormats() {
      * * `bigquery`
      * Each instance is a single row in BigQuery. Uses
      * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+     * * `file-list`
+     * Each line of the file is the location of an instance to process, uses
+     * `gcs_source` field of the
+     * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
      * If this Model doesn't support any of these formats it means it cannot be
      * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
      * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -8174,19 +8325,20 @@ public com.google.cloud.aiplatform.v1beta1.DeployedModelRef.Builder addDeployedM
      *
      *
      * <pre>
-     * Output only. The default explanation specification for this Model.
-     * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-     * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The default explanation specification for this Model.
+     * The Model can be used for [requesting
+     * explanation][PredictionService.Explain] after being
+     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The Model can be used for [batch
+     * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
      * All fields of the explanation_spec can be overridden by
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-     * This field is populated only for tabular AutoML Models.
-     * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * </pre>
      *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
      *
      * @return Whether the explanationSpec field is set.
      */
@@ -8197,19 +8349,20 @@ public boolean hasExplanationSpec() {
      *
      *
      * <pre>
-     * Output only. The default explanation specification for this Model.
-     * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-     * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The default explanation specification for this Model.
+     * The Model can be used for [requesting
+     * explanation][PredictionService.Explain] after being
+     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The Model can be used for [batch
+     * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
      * All fields of the explanation_spec can be overridden by
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-     * This field is populated only for tabular AutoML Models.
-     * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * </pre>
      *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
      *
      * @return The explanationSpec.
      */
@@ -8226,19 +8379,20 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec getExplanationSpec()
      *
      *
      * <pre>
-     * Output only. The default explanation specification for this Model.
-     * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-     * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The default explanation specification for this Model.
+     * The Model can be used for [requesting
+     * explanation][PredictionService.Explain] after being
+     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The Model can be used for [batch
+     * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
      * All fields of the explanation_spec can be overridden by
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-     * This field is populated only for tabular AutoML Models.
-     * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * </pre>
      *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
      */
     public Builder setExplanationSpec(com.google.cloud.aiplatform.v1beta1.ExplanationSpec value) {
       if (explanationSpecBuilder_ == null) {
@@ -8257,19 +8411,20 @@ public Builder setExplanationSpec(com.google.cloud.aiplatform.v1beta1.Explanatio
      *
      *
      * <pre>
-     * Output only. The default explanation specification for this Model.
-     * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-     * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The default explanation specification for this Model.
+     * The Model can be used for [requesting
+     * explanation][PredictionService.Explain] after being
+     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The Model can be used for [batch
+     * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
      * All fields of the explanation_spec can be overridden by
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-     * This field is populated only for tabular AutoML Models.
-     * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * </pre>
      *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
      */
     public Builder setExplanationSpec(
         com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder builderForValue) {
@@ -8286,19 +8441,20 @@ public Builder setExplanationSpec(
      *
      *
      * <pre>
-     * Output only. The default explanation specification for this Model.
-     * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-     * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The default explanation specification for this Model.
+     * The Model can be used for [requesting
+     * explanation][PredictionService.Explain] after being
+     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The Model can be used for [batch
+     * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
      * All fields of the explanation_spec can be overridden by
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-     * This field is populated only for tabular AutoML Models.
-     * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * </pre>
      *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
      */
     public Builder mergeExplanationSpec(com.google.cloud.aiplatform.v1beta1.ExplanationSpec value) {
       if (explanationSpecBuilder_ == null) {
@@ -8321,19 +8477,20 @@ public Builder mergeExplanationSpec(com.google.cloud.aiplatform.v1beta1.Explanat
      *
      *
      * <pre>
-     * Output only. The default explanation specification for this Model.
-     * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-     * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The default explanation specification for this Model.
+     * The Model can be used for [requesting
+     * explanation][PredictionService.Explain] after being
+     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The Model can be used for [batch
+     * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
      * All fields of the explanation_spec can be overridden by
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-     * This field is populated only for tabular AutoML Models.
-     * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * </pre>
      *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
      */
     public Builder clearExplanationSpec() {
       if (explanationSpecBuilder_ == null) {
@@ -8350,19 +8507,20 @@ public Builder clearExplanationSpec() {
      *
      *
      * <pre>
-     * Output only. The default explanation specification for this Model.
-     * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-     * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The default explanation specification for this Model.
+     * The Model can be used for [requesting
+     * explanation][PredictionService.Explain] after being
+     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The Model can be used for [batch
+     * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
      * All fields of the explanation_spec can be overridden by
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-     * This field is populated only for tabular AutoML Models.
-     * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * </pre>
      *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
      */
     public com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder getExplanationSpecBuilder() {
 
@@ -8373,19 +8531,20 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder getExplanatio
      *
      *
      * <pre>
-     * Output only. The default explanation specification for this Model.
-     * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-     * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The default explanation specification for this Model.
+     * The Model can be used for [requesting
+     * explanation][PredictionService.Explain] after being
+     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The Model can be used for [batch
+     * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
      * All fields of the explanation_spec can be overridden by
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-     * This field is populated only for tabular AutoML Models.
-     * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * </pre>
      *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
      */
     public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOrBuilder
         getExplanationSpecOrBuilder() {
@@ -8401,19 +8560,20 @@ public com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder getExplanatio
      *
      *
      * <pre>
-     * Output only. The default explanation specification for this Model.
-     * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-     * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The default explanation specification for this Model.
+     * The Model can be used for [requesting
+     * explanation][PredictionService.Explain] after being
+     * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+     * The Model can be used for [batch
+     * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
      * All fields of the explanation_spec can be overridden by
      * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-     * This field is populated only for tabular AutoML Models.
-     * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+     * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+     * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+     * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
      * </pre>
      *
-     * <code>
-     * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-     * </code>
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
      */
     private com.google.protobuf.SingleFieldBuilderV3<
             com.google.cloud.aiplatform.v1beta1.ExplanationSpec,
@@ -8728,6 +8888,202 @@ public Builder putAllLabels(java.util.Map<java.lang.String, java.lang.String> va
       return this;
     }
 
+    private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        encryptionSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Model. If set, this
+     * Model and all sub-resources of this Model will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     *
+     * @return Whether the encryptionSpec field is set.
+     */
+    public boolean hasEncryptionSpec() {
+      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Model. If set, this
+     * Model and all sub-resources of this Model will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     *
+     * @return The encryptionSpec.
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      } else {
+        return encryptionSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Model. If set, this
+     * Model and all sub-resources of this Model will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        encryptionSpec_ = value;
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Model. If set, this
+     * Model and all sub-resources of this Model will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public Builder setEncryptionSpec(
+        com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder builderForValue) {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Model. If set, this
+     * Model and all sub-resources of this Model will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (encryptionSpec_ != null) {
+          encryptionSpec_ =
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.newBuilder(encryptionSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          encryptionSpec_ = value;
+        }
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Model. If set, this
+     * Model and all sub-resources of this Model will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public Builder clearEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+        onChanged();
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Model. If set, this
+     * Model and all sub-resources of this Model will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
+
+      onChanged();
+      return getEncryptionSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Model. If set, this
+     * Model and all sub-resources of this Model will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder
+        getEncryptionSpecOrBuilder() {
+      if (encryptionSpecBuilder_ != null) {
+        return encryptionSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a Model. If set, this
+     * Model and all sub-resources of this Model will be secured by this key.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        getEncryptionSpecFieldBuilder() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>(
+                getEncryptionSpec(), getParentForChildren(), isClean());
+        encryptionSpec_ = null;
+      }
+      return encryptionSpecBuilder_;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpec.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpec.java
index 3db576bb5..0f8cd2ff7 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpec.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpec.java
@@ -981,9 +981,8 @@ public com.google.cloud.aiplatform.v1beta1.PortOrBuilder getPortsOrBuilder(int i
    * container's response in the API response.
    * For example, if you set this field to `/foo`, then when AI Platform
    * receives a prediction request, it forwards the request body in a POST
-   * request to the following URL on the container:
-   * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/foo&lt;/code&gt;
-   * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+   * request to the `/foo` path on the port of your container specified by the
+   * first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
    * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -1028,9 +1027,8 @@ public java.lang.String getPredictRoute() {
    * container's response in the API response.
    * For example, if you set this field to `/foo`, then when AI Platform
    * receives a prediction request, it forwards the request body in a POST
-   * request to the following URL on the container:
-   * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/foo&lt;/code&gt;
-   * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+   * request to the `/foo` path on the port of your container specified by the
+   * first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
    * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -1077,9 +1075,8 @@ public com.google.protobuf.ByteString getPredictRouteBytes() {
    * [health
    * checks](https://tinyurl.com/cust-cont-reqs#checks).
    * For example, if you set this field to `/bar`, then AI Platform
-   * intermittently sends a GET request to the following URL on the container:
-   * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/bar&lt;/code&gt;
-   * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+   * intermittently sends a GET request to the `/bar` path on the port of your
+   * container specified by the first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
    * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -1123,9 +1120,8 @@ public java.lang.String getHealthRoute() {
    * [health
    * checks](https://tinyurl.com/cust-cont-reqs#checks).
    * For example, if you set this field to `/bar`, then AI Platform
-   * intermittently sends a GET request to the following URL on the container:
-   * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/bar&lt;/code&gt;
-   * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+   * intermittently sends a GET request to the `/bar` path on the port of your
+   * container specified by the first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
    * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4183,9 +4179,8 @@ public java.util.List<com.google.cloud.aiplatform.v1beta1.Port.Builder> getPorts
      * container's response in the API response.
      * For example, if you set this field to `/foo`, then when AI Platform
      * receives a prediction request, it forwards the request body in a POST
-     * request to the following URL on the container:
-     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/foo&lt;/code&gt;
-     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+     * request to the `/foo` path on the port of your container specified by the
+     * first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4229,9 +4224,8 @@ public java.lang.String getPredictRoute() {
      * container's response in the API response.
      * For example, if you set this field to `/foo`, then when AI Platform
      * receives a prediction request, it forwards the request body in a POST
-     * request to the following URL on the container:
-     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/foo&lt;/code&gt;
-     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+     * request to the `/foo` path on the port of your container specified by the
+     * first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4275,9 +4269,8 @@ public com.google.protobuf.ByteString getPredictRouteBytes() {
      * container's response in the API response.
      * For example, if you set this field to `/foo`, then when AI Platform
      * receives a prediction request, it forwards the request body in a POST
-     * request to the following URL on the container:
-     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/foo&lt;/code&gt;
-     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+     * request to the `/foo` path on the port of your container specified by the
+     * first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4320,9 +4313,8 @@ public Builder setPredictRoute(java.lang.String value) {
      * container's response in the API response.
      * For example, if you set this field to `/foo`, then when AI Platform
      * receives a prediction request, it forwards the request body in a POST
-     * request to the following URL on the container:
-     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/foo&lt;/code&gt;
-     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+     * request to the `/foo` path on the port of your container specified by the
+     * first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4361,9 +4353,8 @@ public Builder clearPredictRoute() {
      * container's response in the API response.
      * For example, if you set this field to `/foo`, then when AI Platform
      * receives a prediction request, it forwards the request body in a POST
-     * request to the following URL on the container:
-     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/foo&lt;/code&gt;
-     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+     * request to the `/foo` path on the port of your container specified by the
+     * first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4408,9 +4399,8 @@ public Builder setPredictRouteBytes(com.google.protobuf.ByteString value) {
      * [health
      * checks](https://tinyurl.com/cust-cont-reqs#checks).
      * For example, if you set this field to `/bar`, then AI Platform
-     * intermittently sends a GET request to the following URL on the container:
-     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/bar&lt;/code&gt;
-     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+     * intermittently sends a GET request to the `/bar` path on the port of your
+     * container specified by the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4453,9 +4443,8 @@ public java.lang.String getHealthRoute() {
      * [health
      * checks](https://tinyurl.com/cust-cont-reqs#checks).
      * For example, if you set this field to `/bar`, then AI Platform
-     * intermittently sends a GET request to the following URL on the container:
-     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/bar&lt;/code&gt;
-     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+     * intermittently sends a GET request to the `/bar` path on the port of your
+     * container specified by the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4498,9 +4487,8 @@ public com.google.protobuf.ByteString getHealthRouteBytes() {
      * [health
      * checks](https://tinyurl.com/cust-cont-reqs#checks).
      * For example, if you set this field to `/bar`, then AI Platform
-     * intermittently sends a GET request to the following URL on the container:
-     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/bar&lt;/code&gt;
-     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+     * intermittently sends a GET request to the `/bar` path on the port of your
+     * container specified by the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4542,9 +4530,8 @@ public Builder setHealthRoute(java.lang.String value) {
      * [health
      * checks](https://tinyurl.com/cust-cont-reqs#checks).
      * For example, if you set this field to `/bar`, then AI Platform
-     * intermittently sends a GET request to the following URL on the container:
-     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/bar&lt;/code&gt;
-     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+     * intermittently sends a GET request to the `/bar` path on the port of your
+     * container specified by the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -4582,9 +4569,8 @@ public Builder clearHealthRoute() {
      * [health
      * checks](https://tinyurl.com/cust-cont-reqs#checks).
      * For example, if you set this field to `/bar`, then AI Platform
-     * intermittently sends a GET request to the following URL on the container:
-     * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/bar&lt;/code&gt;
-     * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+     * intermittently sends a GET request to the `/bar` path on the port of your
+     * container specified by the first value of this `ModelContainerSpec`'s
      * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
      * If you don't specify this field, it defaults to the following value when
      * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpecOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpecOrBuilder.java
index d6d497de8..4a8124685 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpecOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelContainerSpecOrBuilder.java
@@ -736,9 +736,8 @@ public interface ModelContainerSpecOrBuilder
    * container's response in the API response.
    * For example, if you set this field to `/foo`, then when AI Platform
    * receives a prediction request, it forwards the request body in a POST
-   * request to the following URL on the container:
-   * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/foo&lt;/code&gt;
-   * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+   * request to the `/foo` path on the port of your container specified by the
+   * first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
    * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -772,9 +771,8 @@ public interface ModelContainerSpecOrBuilder
    * container's response in the API response.
    * For example, if you set this field to `/foo`, then when AI Platform
    * receives a prediction request, it forwards the request body in a POST
-   * request to the following URL on the container:
-   * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/foo&lt;/code&gt;
-   * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+   * request to the `/foo` path on the port of your container specified by the
+   * first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
    * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -808,9 +806,8 @@ public interface ModelContainerSpecOrBuilder
    * [health
    * checks](https://tinyurl.com/cust-cont-reqs#checks).
    * For example, if you set this field to `/bar`, then AI Platform
-   * intermittently sends a GET request to the following URL on the container:
-   * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/bar&lt;/code&gt;
-   * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+   * intermittently sends a GET request to the `/bar` path on the port of your
+   * container specified by the first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
    * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
@@ -843,9 +840,8 @@ public interface ModelContainerSpecOrBuilder
    * [health
    * checks](https://tinyurl.com/cust-cont-reqs#checks).
    * For example, if you set this field to `/bar`, then AI Platform
-   * intermittently sends a GET request to the following URL on the container:
-   * &lt;code&gt;localhost:&lt;var&gt;PORT&lt;/var&gt;/bar&lt;/code&gt;
-   * &lt;var&gt;PORT&lt;/var&gt; refers to the first value of this `ModelContainerSpec`'s
+   * intermittently sends a GET request to the `/bar` path on the port of your
+   * container specified by the first value of this `ModelContainerSpec`'s
    * [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
    * If you don't specify this field, it defaults to the following value when
    * you [deploy this Model to an Endpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel]:
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluation.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluation.java
index 66f27a69e..a18f74929 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluation.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluation.java
@@ -42,6 +42,7 @@ private ModelEvaluation() {
     name_ = "";
     metricsSchemaUri_ = "";
     sliceDimensions_ = com.google.protobuf.LazyStringArrayList.EMPTY;
+    explanationSpecs_ = java.util.Collections.emptyList();
   }
 
   @java.lang.Override
@@ -144,6 +145,22 @@ private ModelEvaluation(
 
               break;
             }
+          case 74:
+            {
+              if (!((mutable_bitField0_ & 0x00000002) != 0)) {
+                explanationSpecs_ =
+                    new java.util.ArrayList<
+                        com.google.cloud.aiplatform.v1beta1.ModelEvaluation
+                            .ModelEvaluationExplanationSpec>();
+                mutable_bitField0_ |= 0x00000002;
+              }
+              explanationSpecs_.add(
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1beta1.ModelEvaluation
+                          .ModelEvaluationExplanationSpec.parser(),
+                      extensionRegistry));
+              break;
+            }
           default:
             {
               if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
@@ -161,6 +178,9 @@ private ModelEvaluation(
       if (((mutable_bitField0_ & 0x00000001) != 0)) {
         sliceDimensions_ = sliceDimensions_.getUnmodifiableView();
       }
+      if (((mutable_bitField0_ & 0x00000002) != 0)) {
+        explanationSpecs_ = java.util.Collections.unmodifiableList(explanationSpecs_);
+      }
       this.unknownFields = unknownFields.build();
       makeExtensionsImmutable();
     }
@@ -181,6 +201,1031 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
             com.google.cloud.aiplatform.v1beta1.ModelEvaluation.Builder.class);
   }
 
+  public interface ModelEvaluationExplanationSpecOrBuilder
+      extends
+      // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec)
+      com.google.protobuf.MessageOrBuilder {
+
+    /**
+     *
+     *
+     * <pre>
+     * Explanation type.
+     * For AutoML Image Classification models, possible values are:
+     *   * `image-integrated-gradients`
+     *   * `image-xrai`
+     * </pre>
+     *
+     * <code>string explanation_type = 1;</code>
+     *
+     * @return The explanationType.
+     */
+    java.lang.String getExplanationType();
+    /**
+     *
+     *
+     * <pre>
+     * Explanation type.
+     * For AutoML Image Classification models, possible values are:
+     *   * `image-integrated-gradients`
+     *   * `image-xrai`
+     * </pre>
+     *
+     * <code>string explanation_type = 1;</code>
+     *
+     * @return The bytes for explanationType.
+     */
+    com.google.protobuf.ByteString getExplanationTypeBytes();
+
+    /**
+     *
+     *
+     * <pre>
+     * Explanation spec details.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
+     *
+     * @return Whether the explanationSpec field is set.
+     */
+    boolean hasExplanationSpec();
+    /**
+     *
+     *
+     * <pre>
+     * Explanation spec details.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
+     *
+     * @return The explanationSpec.
+     */
+    com.google.cloud.aiplatform.v1beta1.ExplanationSpec getExplanationSpec();
+    /**
+     *
+     *
+     * <pre>
+     * Explanation spec details.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
+     */
+    com.google.cloud.aiplatform.v1beta1.ExplanationSpecOrBuilder getExplanationSpecOrBuilder();
+  }
+  /**
+   * Protobuf type {@code
+   * google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec}
+   */
+  public static final class ModelEvaluationExplanationSpec
+      extends com.google.protobuf.GeneratedMessageV3
+      implements
+      // @@protoc_insertion_point(message_implements:google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec)
+      ModelEvaluationExplanationSpecOrBuilder {
+    private static final long serialVersionUID = 0L;
+    // Use ModelEvaluationExplanationSpec.newBuilder() to construct.
+    private ModelEvaluationExplanationSpec(
+        com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
+      super(builder);
+    }
+
+    private ModelEvaluationExplanationSpec() {
+      explanationType_ = "";
+    }
+
+    @java.lang.Override
+    @SuppressWarnings({"unused"})
+    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
+      return new ModelEvaluationExplanationSpec();
+    }
+
+    @java.lang.Override
+    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
+      return this.unknownFields;
+    }
+
+    private ModelEvaluationExplanationSpec(
+        com.google.protobuf.CodedInputStream input,
+        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+        throws com.google.protobuf.InvalidProtocolBufferException {
+      this();
+      if (extensionRegistry == null) {
+        throw new java.lang.NullPointerException();
+      }
+      com.google.protobuf.UnknownFieldSet.Builder unknownFields =
+          com.google.protobuf.UnknownFieldSet.newBuilder();
+      try {
+        boolean done = false;
+        while (!done) {
+          int tag = input.readTag();
+          switch (tag) {
+            case 0:
+              done = true;
+              break;
+            case 10:
+              {
+                java.lang.String s = input.readStringRequireUtf8();
+
+                explanationType_ = s;
+                break;
+              }
+            case 18:
+              {
+                com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder subBuilder = null;
+                if (explanationSpec_ != null) {
+                  subBuilder = explanationSpec_.toBuilder();
+                }
+                explanationSpec_ =
+                    input.readMessage(
+                        com.google.cloud.aiplatform.v1beta1.ExplanationSpec.parser(),
+                        extensionRegistry);
+                if (subBuilder != null) {
+                  subBuilder.mergeFrom(explanationSpec_);
+                  explanationSpec_ = subBuilder.buildPartial();
+                }
+
+                break;
+              }
+            default:
+              {
+                if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
+                  done = true;
+                }
+                break;
+              }
+          }
+        }
+      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+        throw e.setUnfinishedMessage(this);
+      } catch (java.io.IOException e) {
+        throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
+      } finally {
+        this.unknownFields = unknownFields.build();
+        makeExtensionsImmutable();
+      }
+    }
+
+    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1beta1.ModelEvaluationProto
+          .internal_static_google_cloud_aiplatform_v1beta1_ModelEvaluation_ModelEvaluationExplanationSpec_descriptor;
+    }
+
+    @java.lang.Override
+    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+        internalGetFieldAccessorTable() {
+      return com.google.cloud.aiplatform.v1beta1.ModelEvaluationProto
+          .internal_static_google_cloud_aiplatform_v1beta1_ModelEvaluation_ModelEvaluationExplanationSpec_fieldAccessorTable
+          .ensureFieldAccessorsInitialized(
+              com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+                  .class,
+              com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+                  .Builder.class);
+    }
+
+    public static final int EXPLANATION_TYPE_FIELD_NUMBER = 1;
+    private volatile java.lang.Object explanationType_;
+    /**
+     *
+     *
+     * <pre>
+     * Explanation type.
+     * For AutoML Image Classification models, possible values are:
+     *   * `image-integrated-gradients`
+     *   * `image-xrai`
+     * </pre>
+     *
+     * <code>string explanation_type = 1;</code>
+     *
+     * @return The explanationType.
+     */
+    @java.lang.Override
+    public java.lang.String getExplanationType() {
+      java.lang.Object ref = explanationType_;
+      if (ref instanceof java.lang.String) {
+        return (java.lang.String) ref;
+      } else {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        explanationType_ = s;
+        return s;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Explanation type.
+     * For AutoML Image Classification models, possible values are:
+     *   * `image-integrated-gradients`
+     *   * `image-xrai`
+     * </pre>
+     *
+     * <code>string explanation_type = 1;</code>
+     *
+     * @return The bytes for explanationType.
+     */
+    @java.lang.Override
+    public com.google.protobuf.ByteString getExplanationTypeBytes() {
+      java.lang.Object ref = explanationType_;
+      if (ref instanceof java.lang.String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        explanationType_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+
+    public static final int EXPLANATION_SPEC_FIELD_NUMBER = 2;
+    private com.google.cloud.aiplatform.v1beta1.ExplanationSpec explanationSpec_;
+    /**
+     *
+     *
+     * <pre>
+     * Explanation spec details.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
+     *
+     * @return Whether the explanationSpec field is set.
+     */
+    @java.lang.Override
+    public boolean hasExplanationSpec() {
+      return explanationSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Explanation spec details.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
+     *
+     * @return The explanationSpec.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.ExplanationSpec getExplanationSpec() {
+      return explanationSpec_ == null
+          ? com.google.cloud.aiplatform.v1beta1.ExplanationSpec.getDefaultInstance()
+          : explanationSpec_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Explanation spec details.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOrBuilder
+        getExplanationSpecOrBuilder() {
+      return getExplanationSpec();
+    }
+
+    private byte memoizedIsInitialized = -1;
+
+    @java.lang.Override
+    public final boolean isInitialized() {
+      byte isInitialized = memoizedIsInitialized;
+      if (isInitialized == 1) return true;
+      if (isInitialized == 0) return false;
+
+      memoizedIsInitialized = 1;
+      return true;
+    }
+
+    @java.lang.Override
+    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+      if (!getExplanationTypeBytes().isEmpty()) {
+        com.google.protobuf.GeneratedMessageV3.writeString(output, 1, explanationType_);
+      }
+      if (explanationSpec_ != null) {
+        output.writeMessage(2, getExplanationSpec());
+      }
+      unknownFields.writeTo(output);
+    }
+
+    @java.lang.Override
+    public int getSerializedSize() {
+      int size = memoizedSize;
+      if (size != -1) return size;
+
+      size = 0;
+      if (!getExplanationTypeBytes().isEmpty()) {
+        size += com.google.protobuf.GeneratedMessageV3.computeStringSize(1, explanationType_);
+      }
+      if (explanationSpec_ != null) {
+        size += com.google.protobuf.CodedOutputStream.computeMessageSize(2, getExplanationSpec());
+      }
+      size += unknownFields.getSerializedSize();
+      memoizedSize = size;
+      return size;
+    }
+
+    @java.lang.Override
+    public boolean equals(final java.lang.Object obj) {
+      if (obj == this) {
+        return true;
+      }
+      if (!(obj
+          instanceof
+          com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec)) {
+        return super.equals(obj);
+      }
+      com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec other =
+          (com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec) obj;
+
+      if (!getExplanationType().equals(other.getExplanationType())) return false;
+      if (hasExplanationSpec() != other.hasExplanationSpec()) return false;
+      if (hasExplanationSpec()) {
+        if (!getExplanationSpec().equals(other.getExplanationSpec())) return false;
+      }
+      if (!unknownFields.equals(other.unknownFields)) return false;
+      return true;
+    }
+
+    @java.lang.Override
+    public int hashCode() {
+      if (memoizedHashCode != 0) {
+        return memoizedHashCode;
+      }
+      int hash = 41;
+      hash = (19 * hash) + getDescriptor().hashCode();
+      hash = (37 * hash) + EXPLANATION_TYPE_FIELD_NUMBER;
+      hash = (53 * hash) + getExplanationType().hashCode();
+      if (hasExplanationSpec()) {
+        hash = (37 * hash) + EXPLANATION_SPEC_FIELD_NUMBER;
+        hash = (53 * hash) + getExplanationSpec().hashCode();
+      }
+      hash = (29 * hash) + unknownFields.hashCode();
+      memoizedHashCode = hash;
+      return hash;
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+        parseFrom(java.nio.ByteBuffer data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+        parseFrom(
+            java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+        parseFrom(com.google.protobuf.ByteString data)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+        parseFrom(
+            com.google.protobuf.ByteString data,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+        parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+        parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws com.google.protobuf.InvalidProtocolBufferException {
+      return PARSER.parseFrom(data, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+        parseFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+        parseFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+        parseDelimitedFrom(
+            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+        parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+        parseFrom(
+            com.google.protobuf.CodedInputStream input,
+            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+            throws java.io.IOException {
+      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
+          PARSER, input, extensionRegistry);
+    }
+
+    @java.lang.Override
+    public Builder newBuilderForType() {
+      return newBuilder();
+    }
+
+    public static Builder newBuilder() {
+      return DEFAULT_INSTANCE.toBuilder();
+    }
+
+    public static Builder newBuilder(
+        com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+            prototype) {
+      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
+    }
+
+    @java.lang.Override
+    public Builder toBuilder() {
+      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
+    }
+
+    @java.lang.Override
+    protected Builder newBuilderForType(
+        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+      Builder builder = new Builder(parent);
+      return builder;
+    }
+    /**
+     * Protobuf type {@code
+     * google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec}
+     */
+    public static final class Builder
+        extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
+        implements
+        // @@protoc_insertion_point(builder_implements:google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec)
+        com.google.cloud.aiplatform.v1beta1.ModelEvaluation
+            .ModelEvaluationExplanationSpecOrBuilder {
+      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
+        return com.google.cloud.aiplatform.v1beta1.ModelEvaluationProto
+            .internal_static_google_cloud_aiplatform_v1beta1_ModelEvaluation_ModelEvaluationExplanationSpec_descriptor;
+      }
+
+      @java.lang.Override
+      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+          internalGetFieldAccessorTable() {
+        return com.google.cloud.aiplatform.v1beta1.ModelEvaluationProto
+            .internal_static_google_cloud_aiplatform_v1beta1_ModelEvaluation_ModelEvaluationExplanationSpec_fieldAccessorTable
+            .ensureFieldAccessorsInitialized(
+                com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+                    .class,
+                com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+                    .Builder.class);
+      }
+
+      // Construct using
+      // com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec.newBuilder()
+      private Builder() {
+        maybeForceBuilderInitialization();
+      }
+
+      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
+        super(parent);
+        maybeForceBuilderInitialization();
+      }
+
+      private void maybeForceBuilderInitialization() {
+        if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      }
+
+      @java.lang.Override
+      public Builder clear() {
+        super.clear();
+        explanationType_ = "";
+
+        if (explanationSpecBuilder_ == null) {
+          explanationSpec_ = null;
+        } else {
+          explanationSpec_ = null;
+          explanationSpecBuilder_ = null;
+        }
+        return this;
+      }
+
+      @java.lang.Override
+      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
+        return com.google.cloud.aiplatform.v1beta1.ModelEvaluationProto
+            .internal_static_google_cloud_aiplatform_v1beta1_ModelEvaluation_ModelEvaluationExplanationSpec_descriptor;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+          getDefaultInstanceForType() {
+        return com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+            .getDefaultInstance();
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+          build() {
+        com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec result =
+            buildPartial();
+        if (!result.isInitialized()) {
+          throw newUninitializedMessageException(result);
+        }
+        return result;
+      }
+
+      @java.lang.Override
+      public com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+          buildPartial() {
+        com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec result =
+            new com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec(
+                this);
+        result.explanationType_ = explanationType_;
+        if (explanationSpecBuilder_ == null) {
+          result.explanationSpec_ = explanationSpec_;
+        } else {
+          result.explanationSpec_ = explanationSpecBuilder_.build();
+        }
+        onBuilt();
+        return result;
+      }
+
+      @java.lang.Override
+      public Builder clone() {
+        return super.clone();
+      }
+
+      @java.lang.Override
+      public Builder setField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.setField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
+        return super.clearField(field);
+      }
+
+      @java.lang.Override
+      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
+        return super.clearOneof(oneof);
+      }
+
+      @java.lang.Override
+      public Builder setRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field,
+          int index,
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+
+      @java.lang.Override
+      public Builder addRepeatedField(
+          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
+        return super.addRepeatedField(field, value);
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(com.google.protobuf.Message other) {
+        if (other
+            instanceof
+            com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec) {
+          return mergeFrom(
+              (com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec)
+                  other);
+        } else {
+          super.mergeFrom(other);
+          return this;
+        }
+      }
+
+      public Builder mergeFrom(
+          com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+              other) {
+        if (other
+            == com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+                .getDefaultInstance()) return this;
+        if (!other.getExplanationType().isEmpty()) {
+          explanationType_ = other.explanationType_;
+          onChanged();
+        }
+        if (other.hasExplanationSpec()) {
+          mergeExplanationSpec(other.getExplanationSpec());
+        }
+        this.mergeUnknownFields(other.unknownFields);
+        onChanged();
+        return this;
+      }
+
+      @java.lang.Override
+      public final boolean isInitialized() {
+        return true;
+      }
+
+      @java.lang.Override
+      public Builder mergeFrom(
+          com.google.protobuf.CodedInputStream input,
+          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+          throws java.io.IOException {
+        com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+            parsedMessage = null;
+        try {
+          parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
+        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
+          parsedMessage =
+              (com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec)
+                  e.getUnfinishedMessage();
+          throw e.unwrapIOException();
+        } finally {
+          if (parsedMessage != null) {
+            mergeFrom(parsedMessage);
+          }
+        }
+        return this;
+      }
+
+      private java.lang.Object explanationType_ = "";
+      /**
+       *
+       *
+       * <pre>
+       * Explanation type.
+       * For AutoML Image Classification models, possible values are:
+       *   * `image-integrated-gradients`
+       *   * `image-xrai`
+       * </pre>
+       *
+       * <code>string explanation_type = 1;</code>
+       *
+       * @return The explanationType.
+       */
+      public java.lang.String getExplanationType() {
+        java.lang.Object ref = explanationType_;
+        if (!(ref instanceof java.lang.String)) {
+          com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+          java.lang.String s = bs.toStringUtf8();
+          explanationType_ = s;
+          return s;
+        } else {
+          return (java.lang.String) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Explanation type.
+       * For AutoML Image Classification models, possible values are:
+       *   * `image-integrated-gradients`
+       *   * `image-xrai`
+       * </pre>
+       *
+       * <code>string explanation_type = 1;</code>
+       *
+       * @return The bytes for explanationType.
+       */
+      public com.google.protobuf.ByteString getExplanationTypeBytes() {
+        java.lang.Object ref = explanationType_;
+        if (ref instanceof String) {
+          com.google.protobuf.ByteString b =
+              com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+          explanationType_ = b;
+          return b;
+        } else {
+          return (com.google.protobuf.ByteString) ref;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Explanation type.
+       * For AutoML Image Classification models, possible values are:
+       *   * `image-integrated-gradients`
+       *   * `image-xrai`
+       * </pre>
+       *
+       * <code>string explanation_type = 1;</code>
+       *
+       * @param value The explanationType to set.
+       * @return This builder for chaining.
+       */
+      public Builder setExplanationType(java.lang.String value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+
+        explanationType_ = value;
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Explanation type.
+       * For AutoML Image Classification models, possible values are:
+       *   * `image-integrated-gradients`
+       *   * `image-xrai`
+       * </pre>
+       *
+       * <code>string explanation_type = 1;</code>
+       *
+       * @return This builder for chaining.
+       */
+      public Builder clearExplanationType() {
+
+        explanationType_ = getDefaultInstance().getExplanationType();
+        onChanged();
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Explanation type.
+       * For AutoML Image Classification models, possible values are:
+       *   * `image-integrated-gradients`
+       *   * `image-xrai`
+       * </pre>
+       *
+       * <code>string explanation_type = 1;</code>
+       *
+       * @param value The bytes for explanationType to set.
+       * @return This builder for chaining.
+       */
+      public Builder setExplanationTypeBytes(com.google.protobuf.ByteString value) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        checkByteStringIsUtf8(value);
+
+        explanationType_ = value;
+        onChanged();
+        return this;
+      }
+
+      private com.google.cloud.aiplatform.v1beta1.ExplanationSpec explanationSpec_;
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1beta1.ExplanationSpec,
+              com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder,
+              com.google.cloud.aiplatform.v1beta1.ExplanationSpecOrBuilder>
+          explanationSpecBuilder_;
+      /**
+       *
+       *
+       * <pre>
+       * Explanation spec details.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
+       *
+       * @return Whether the explanationSpec field is set.
+       */
+      public boolean hasExplanationSpec() {
+        return explanationSpecBuilder_ != null || explanationSpec_ != null;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Explanation spec details.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
+       *
+       * @return The explanationSpec.
+       */
+      public com.google.cloud.aiplatform.v1beta1.ExplanationSpec getExplanationSpec() {
+        if (explanationSpecBuilder_ == null) {
+          return explanationSpec_ == null
+              ? com.google.cloud.aiplatform.v1beta1.ExplanationSpec.getDefaultInstance()
+              : explanationSpec_;
+        } else {
+          return explanationSpecBuilder_.getMessage();
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Explanation spec details.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
+       */
+      public Builder setExplanationSpec(com.google.cloud.aiplatform.v1beta1.ExplanationSpec value) {
+        if (explanationSpecBuilder_ == null) {
+          if (value == null) {
+            throw new NullPointerException();
+          }
+          explanationSpec_ = value;
+          onChanged();
+        } else {
+          explanationSpecBuilder_.setMessage(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Explanation spec details.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
+       */
+      public Builder setExplanationSpec(
+          com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder builderForValue) {
+        if (explanationSpecBuilder_ == null) {
+          explanationSpec_ = builderForValue.build();
+          onChanged();
+        } else {
+          explanationSpecBuilder_.setMessage(builderForValue.build());
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Explanation spec details.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
+       */
+      public Builder mergeExplanationSpec(
+          com.google.cloud.aiplatform.v1beta1.ExplanationSpec value) {
+        if (explanationSpecBuilder_ == null) {
+          if (explanationSpec_ != null) {
+            explanationSpec_ =
+                com.google.cloud.aiplatform.v1beta1.ExplanationSpec.newBuilder(explanationSpec_)
+                    .mergeFrom(value)
+                    .buildPartial();
+          } else {
+            explanationSpec_ = value;
+          }
+          onChanged();
+        } else {
+          explanationSpecBuilder_.mergeFrom(value);
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Explanation spec details.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
+       */
+      public Builder clearExplanationSpec() {
+        if (explanationSpecBuilder_ == null) {
+          explanationSpec_ = null;
+          onChanged();
+        } else {
+          explanationSpec_ = null;
+          explanationSpecBuilder_ = null;
+        }
+
+        return this;
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Explanation spec details.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
+       */
+      public com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder
+          getExplanationSpecBuilder() {
+
+        onChanged();
+        return getExplanationSpecFieldBuilder().getBuilder();
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Explanation spec details.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
+       */
+      public com.google.cloud.aiplatform.v1beta1.ExplanationSpecOrBuilder
+          getExplanationSpecOrBuilder() {
+        if (explanationSpecBuilder_ != null) {
+          return explanationSpecBuilder_.getMessageOrBuilder();
+        } else {
+          return explanationSpec_ == null
+              ? com.google.cloud.aiplatform.v1beta1.ExplanationSpec.getDefaultInstance()
+              : explanationSpec_;
+        }
+      }
+      /**
+       *
+       *
+       * <pre>
+       * Explanation spec details.
+       * </pre>
+       *
+       * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 2;</code>
+       */
+      private com.google.protobuf.SingleFieldBuilderV3<
+              com.google.cloud.aiplatform.v1beta1.ExplanationSpec,
+              com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder,
+              com.google.cloud.aiplatform.v1beta1.ExplanationSpecOrBuilder>
+          getExplanationSpecFieldBuilder() {
+        if (explanationSpecBuilder_ == null) {
+          explanationSpecBuilder_ =
+              new com.google.protobuf.SingleFieldBuilderV3<
+                  com.google.cloud.aiplatform.v1beta1.ExplanationSpec,
+                  com.google.cloud.aiplatform.v1beta1.ExplanationSpec.Builder,
+                  com.google.cloud.aiplatform.v1beta1.ExplanationSpecOrBuilder>(
+                  getExplanationSpec(), getParentForChildren(), isClean());
+          explanationSpec_ = null;
+        }
+        return explanationSpecBuilder_;
+      }
+
+      @java.lang.Override
+      public final Builder setUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.setUnknownFields(unknownFields);
+      }
+
+      @java.lang.Override
+      public final Builder mergeUnknownFields(
+          final com.google.protobuf.UnknownFieldSet unknownFields) {
+        return super.mergeUnknownFields(unknownFields);
+      }
+
+      // @@protoc_insertion_point(builder_scope:google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec)
+    }
+
+    // @@protoc_insertion_point(class_scope:google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec)
+    private static final com.google.cloud.aiplatform.v1beta1.ModelEvaluation
+            .ModelEvaluationExplanationSpec
+        DEFAULT_INSTANCE;
+
+    static {
+      DEFAULT_INSTANCE =
+          new com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec();
+    }
+
+    public static com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+        getDefaultInstance() {
+      return DEFAULT_INSTANCE;
+    }
+
+    private static final com.google.protobuf.Parser<ModelEvaluationExplanationSpec> PARSER =
+        new com.google.protobuf.AbstractParser<ModelEvaluationExplanationSpec>() {
+          @java.lang.Override
+          public ModelEvaluationExplanationSpec parsePartialFrom(
+              com.google.protobuf.CodedInputStream input,
+              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
+              throws com.google.protobuf.InvalidProtocolBufferException {
+            return new ModelEvaluationExplanationSpec(input, extensionRegistry);
+          }
+        };
+
+    public static com.google.protobuf.Parser<ModelEvaluationExplanationSpec> parser() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.protobuf.Parser<ModelEvaluationExplanationSpec> getParserForType() {
+      return PARSER;
+    }
+
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+        getDefaultInstanceForType() {
+      return DEFAULT_INSTANCE;
+    }
+  }
+
   public static final int NAME_FIELD_NUMBER = 1;
   private volatile java.lang.Object name_;
   /**
@@ -517,6 +1562,99 @@ public com.google.cloud.aiplatform.v1beta1.ModelExplanation getModelExplanation(
     return getModelExplanation();
   }
 
+  public static final int EXPLANATION_SPECS_FIELD_NUMBER = 9;
+  private java.util.List<
+          com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec>
+      explanationSpecs_;
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+   * the predicted values on the evaluated data.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<
+          com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec>
+      getExplanationSpecsList() {
+    return explanationSpecs_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+   * the predicted values on the evaluated data.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public java.util.List<
+          ? extends
+              com.google.cloud.aiplatform.v1beta1.ModelEvaluation
+                  .ModelEvaluationExplanationSpecOrBuilder>
+      getExplanationSpecsOrBuilderList() {
+    return explanationSpecs_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+   * the predicted values on the evaluated data.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public int getExplanationSpecsCount() {
+    return explanationSpecs_.size();
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+   * the predicted values on the evaluated data.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+      getExplanationSpecs(int index) {
+    return explanationSpecs_.get(index);
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+   * the predicted values on the evaluated data.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpecOrBuilder
+      getExplanationSpecsOrBuilder(int index) {
+    return explanationSpecs_.get(index);
+  }
+
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -549,6 +1687,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (modelExplanation_ != null) {
       output.writeMessage(8, getModelExplanation());
     }
+    for (int i = 0; i < explanationSpecs_.size(); i++) {
+      output.writeMessage(9, explanationSpecs_.get(i));
+    }
     unknownFields.writeTo(output);
   }
 
@@ -581,6 +1722,9 @@ public int getSerializedSize() {
     if (modelExplanation_ != null) {
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(8, getModelExplanation());
     }
+    for (int i = 0; i < explanationSpecs_.size(); i++) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(9, explanationSpecs_.get(i));
+    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -612,6 +1756,7 @@ public boolean equals(final java.lang.Object obj) {
     if (hasModelExplanation()) {
       if (!getModelExplanation().equals(other.getModelExplanation())) return false;
     }
+    if (!getExplanationSpecsList().equals(other.getExplanationSpecsList())) return false;
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -643,6 +1788,10 @@ public int hashCode() {
       hash = (37 * hash) + MODEL_EXPLANATION_FIELD_NUMBER;
       hash = (53 * hash) + getModelExplanation().hashCode();
     }
+    if (getExplanationSpecsCount() > 0) {
+      hash = (37 * hash) + EXPLANATION_SPECS_FIELD_NUMBER;
+      hash = (53 * hash) + getExplanationSpecsList().hashCode();
+    }
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -783,7 +1932,9 @@ private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
     }
 
     private void maybeForceBuilderInitialization() {
-      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
+      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
+        getExplanationSpecsFieldBuilder();
+      }
     }
 
     @java.lang.Override
@@ -813,6 +1964,12 @@ public Builder clear() {
         modelExplanation_ = null;
         modelExplanationBuilder_ = null;
       }
+      if (explanationSpecsBuilder_ == null) {
+        explanationSpecs_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000002);
+      } else {
+        explanationSpecsBuilder_.clear();
+      }
       return this;
     }
 
@@ -863,6 +2020,15 @@ public com.google.cloud.aiplatform.v1beta1.ModelEvaluation buildPartial() {
       } else {
         result.modelExplanation_ = modelExplanationBuilder_.build();
       }
+      if (explanationSpecsBuilder_ == null) {
+        if (((bitField0_ & 0x00000002) != 0)) {
+          explanationSpecs_ = java.util.Collections.unmodifiableList(explanationSpecs_);
+          bitField0_ = (bitField0_ & ~0x00000002);
+        }
+        result.explanationSpecs_ = explanationSpecs_;
+      } else {
+        result.explanationSpecs_ = explanationSpecsBuilder_.build();
+      }
       onBuilt();
       return result;
     }
@@ -940,6 +2106,33 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.ModelEvaluation oth
       if (other.hasModelExplanation()) {
         mergeModelExplanation(other.getModelExplanation());
       }
+      if (explanationSpecsBuilder_ == null) {
+        if (!other.explanationSpecs_.isEmpty()) {
+          if (explanationSpecs_.isEmpty()) {
+            explanationSpecs_ = other.explanationSpecs_;
+            bitField0_ = (bitField0_ & ~0x00000002);
+          } else {
+            ensureExplanationSpecsIsMutable();
+            explanationSpecs_.addAll(other.explanationSpecs_);
+          }
+          onChanged();
+        }
+      } else {
+        if (!other.explanationSpecs_.isEmpty()) {
+          if (explanationSpecsBuilder_.isEmpty()) {
+            explanationSpecsBuilder_.dispose();
+            explanationSpecsBuilder_ = null;
+            explanationSpecs_ = other.explanationSpecs_;
+            bitField0_ = (bitField0_ & ~0x00000002);
+            explanationSpecsBuilder_ =
+                com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
+                    ? getExplanationSpecsFieldBuilder()
+                    : null;
+          } else {
+            explanationSpecsBuilder_.addAllMessages(other.explanationSpecs_);
+          }
+        }
+      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -2016,6 +3209,458 @@ public Builder clearModelExplanation() {
       return modelExplanationBuilder_;
     }
 
+    private java.util.List<
+            com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec>
+        explanationSpecs_ = java.util.Collections.emptyList();
+
+    private void ensureExplanationSpecsIsMutable() {
+      if (!((bitField0_ & 0x00000002) != 0)) {
+        explanationSpecs_ =
+            new java.util.ArrayList<
+                com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec>(
+                explanationSpecs_);
+        bitField0_ |= 0x00000002;
+      }
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec,
+            com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+                .Builder,
+            com.google.cloud.aiplatform.v1beta1.ModelEvaluation
+                .ModelEvaluationExplanationSpecOrBuilder>
+        explanationSpecsBuilder_;
+
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<
+            com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec>
+        getExplanationSpecsList() {
+      if (explanationSpecsBuilder_ == null) {
+        return java.util.Collections.unmodifiableList(explanationSpecs_);
+      } else {
+        return explanationSpecsBuilder_.getMessageList();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public int getExplanationSpecsCount() {
+      if (explanationSpecsBuilder_ == null) {
+        return explanationSpecs_.size();
+      } else {
+        return explanationSpecsBuilder_.getCount();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+        getExplanationSpecs(int index) {
+      if (explanationSpecsBuilder_ == null) {
+        return explanationSpecs_.get(index);
+      } else {
+        return explanationSpecsBuilder_.getMessage(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setExplanationSpecs(
+        int index,
+        com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec value) {
+      if (explanationSpecsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureExplanationSpecsIsMutable();
+        explanationSpecs_.set(index, value);
+        onChanged();
+      } else {
+        explanationSpecsBuilder_.setMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder setExplanationSpecs(
+        int index,
+        com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec.Builder
+            builderForValue) {
+      if (explanationSpecsBuilder_ == null) {
+        ensureExplanationSpecsIsMutable();
+        explanationSpecs_.set(index, builderForValue.build());
+        onChanged();
+      } else {
+        explanationSpecsBuilder_.setMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addExplanationSpecs(
+        com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec value) {
+      if (explanationSpecsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureExplanationSpecsIsMutable();
+        explanationSpecs_.add(value);
+        onChanged();
+      } else {
+        explanationSpecsBuilder_.addMessage(value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addExplanationSpecs(
+        int index,
+        com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec value) {
+      if (explanationSpecsBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        ensureExplanationSpecsIsMutable();
+        explanationSpecs_.add(index, value);
+        onChanged();
+      } else {
+        explanationSpecsBuilder_.addMessage(index, value);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addExplanationSpecs(
+        com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec.Builder
+            builderForValue) {
+      if (explanationSpecsBuilder_ == null) {
+        ensureExplanationSpecsIsMutable();
+        explanationSpecs_.add(builderForValue.build());
+        onChanged();
+      } else {
+        explanationSpecsBuilder_.addMessage(builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addExplanationSpecs(
+        int index,
+        com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec.Builder
+            builderForValue) {
+      if (explanationSpecsBuilder_ == null) {
+        ensureExplanationSpecsIsMutable();
+        explanationSpecs_.add(index, builderForValue.build());
+        onChanged();
+      } else {
+        explanationSpecsBuilder_.addMessage(index, builderForValue.build());
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder addAllExplanationSpecs(
+        java.lang.Iterable<
+                ? extends
+                    com.google.cloud.aiplatform.v1beta1.ModelEvaluation
+                        .ModelEvaluationExplanationSpec>
+            values) {
+      if (explanationSpecsBuilder_ == null) {
+        ensureExplanationSpecsIsMutable();
+        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, explanationSpecs_);
+        onChanged();
+      } else {
+        explanationSpecsBuilder_.addAllMessages(values);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder clearExplanationSpecs() {
+      if (explanationSpecsBuilder_ == null) {
+        explanationSpecs_ = java.util.Collections.emptyList();
+        bitField0_ = (bitField0_ & ~0x00000002);
+        onChanged();
+      } else {
+        explanationSpecsBuilder_.clear();
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public Builder removeExplanationSpecs(int index) {
+      if (explanationSpecsBuilder_ == null) {
+        ensureExplanationSpecsIsMutable();
+        explanationSpecs_.remove(index);
+        onChanged();
+      } else {
+        explanationSpecsBuilder_.remove(index);
+      }
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+            .Builder
+        getExplanationSpecsBuilder(int index) {
+      return getExplanationSpecsFieldBuilder().getBuilder(index);
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.ModelEvaluation
+            .ModelEvaluationExplanationSpecOrBuilder
+        getExplanationSpecsOrBuilder(int index) {
+      if (explanationSpecsBuilder_ == null) {
+        return explanationSpecs_.get(index);
+      } else {
+        return explanationSpecsBuilder_.getMessageOrBuilder(index);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<
+            ? extends
+                com.google.cloud.aiplatform.v1beta1.ModelEvaluation
+                    .ModelEvaluationExplanationSpecOrBuilder>
+        getExplanationSpecsOrBuilderList() {
+      if (explanationSpecsBuilder_ != null) {
+        return explanationSpecsBuilder_.getMessageOrBuilderList();
+      } else {
+        return java.util.Collections.unmodifiableList(explanationSpecs_);
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+            .Builder
+        addExplanationSpecsBuilder() {
+      return getExplanationSpecsFieldBuilder()
+          .addBuilder(
+              com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+                  .getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+            .Builder
+        addExplanationSpecsBuilder(int index) {
+      return getExplanationSpecsFieldBuilder()
+          .addBuilder(
+              index,
+              com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+                  .getDefaultInstance());
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+     * the predicted values on the evaluated data.
+     * </pre>
+     *
+     * <code>
+     * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+     * </code>
+     */
+    public java.util.List<
+            com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+                .Builder>
+        getExplanationSpecsBuilderList() {
+      return getExplanationSpecsFieldBuilder().getBuilderList();
+    }
+
+    private com.google.protobuf.RepeatedFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec,
+            com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+                .Builder,
+            com.google.cloud.aiplatform.v1beta1.ModelEvaluation
+                .ModelEvaluationExplanationSpecOrBuilder>
+        getExplanationSpecsFieldBuilder() {
+      if (explanationSpecsBuilder_ == null) {
+        explanationSpecsBuilder_ =
+            new com.google.protobuf.RepeatedFieldBuilderV3<
+                com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec,
+                com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+                    .Builder,
+                com.google.cloud.aiplatform.v1beta1.ModelEvaluation
+                    .ModelEvaluationExplanationSpecOrBuilder>(
+                explanationSpecs_,
+                ((bitField0_ & 0x00000002) != 0),
+                getParentForChildren(),
+                isClean());
+        explanationSpecs_ = null;
+      }
+      return explanationSpecsBuilder_;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder.java
index 57cf0caf2..40c7fdd28 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationOrBuilder.java
@@ -264,4 +264,77 @@ public interface ModelEvaluationOrBuilder
    * </code>
    */
   com.google.cloud.aiplatform.v1beta1.ModelExplanationOrBuilder getModelExplanationOrBuilder();
+
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+   * the predicted values on the evaluated data.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  java.util.List<com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec>
+      getExplanationSpecsList();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+   * the predicted values on the evaluated data.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec
+      getExplanationSpecs(int index);
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+   * the predicted values on the evaluated data.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  int getExplanationSpecsCount();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+   * the predicted values on the evaluated data.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  java.util.List<
+          ? extends
+              com.google.cloud.aiplatform.v1beta1.ModelEvaluation
+                  .ModelEvaluationExplanationSpecOrBuilder>
+      getExplanationSpecsOrBuilderList();
+  /**
+   *
+   *
+   * <pre>
+   * Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+   * the predicted values on the evaluated data.
+   * </pre>
+   *
+   * <code>
+   * repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
+   * </code>
+   */
+  com.google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpecOrBuilder
+      getExplanationSpecsOrBuilder(int index);
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationProto.java
index bca98ace2..b219e56e7 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelEvaluationProto.java
@@ -31,6 +31,10 @@ public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry r
       internal_static_google_cloud_aiplatform_v1beta1_ModelEvaluation_descriptor;
   static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
       internal_static_google_cloud_aiplatform_v1beta1_ModelEvaluation_fieldAccessorTable;
+  static final com.google.protobuf.Descriptors.Descriptor
+      internal_static_google_cloud_aiplatform_v1beta1_ModelEvaluation_ModelEvaluationExplanationSpec_descriptor;
+  static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
+      internal_static_google_cloud_aiplatform_v1beta1_ModelEvaluation_ModelEvaluationExplanationSpec_fieldAccessorTable;
 
   public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     return descriptor;
@@ -47,21 +51,27 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "oud/aiplatform/v1beta1/explanation.proto"
           + "\032\034google/protobuf/struct.proto\032\037google/p"
           + "rotobuf/timestamp.proto\032\034google/api/anno"
-          + "tations.proto\"\234\003\n\017ModelEvaluation\022\021\n\004nam"
+          + "tations.proto\"\226\005\n\017ModelEvaluation\022\021\n\004nam"
           + "e\030\001 \001(\tB\003\340A\003\022\037\n\022metrics_schema_uri\030\002 \001(\t"
           + "B\003\340A\003\022,\n\007metrics\030\003 \001(\0132\026.google.protobuf"
           + ".ValueB\003\340A\003\0224\n\013create_time\030\004 \001(\0132\032.googl"
           + "e.protobuf.TimestampB\003\340A\003\022\035\n\020slice_dimen"
           + "sions\030\005 \003(\tB\003\340A\003\022Q\n\021model_explanation\030\010 "
           + "\001(\01321.google.cloud.aiplatform.v1beta1.Mo"
-          + "delExplanationB\003\340A\003:\177\352A|\n)aiplatform.goo"
-          + "gleapis.com/ModelEvaluation\022Oprojects/{p"
-          + "roject}/locations/{location}/models/{mod"
-          + "el}/evaluations/{evaluation}B\210\001\n#com.goo"
-          + "gle.cloud.aiplatform.v1beta1B\024ModelEvalu"
-          + "ationProtoP\001ZIgoogle.golang.org/genproto"
-          + "/googleapis/cloud/aiplatform/v1beta1;aip"
-          + "latformb\006proto3"
+          + "delExplanationB\003\340A\003\022o\n\021explanation_specs"
+          + "\030\t \003(\0132O.google.cloud.aiplatform.v1beta1"
+          + ".ModelEvaluation.ModelEvaluationExplanat"
+          + "ionSpecB\003\340A\003\032\206\001\n\036ModelEvaluationExplanat"
+          + "ionSpec\022\030\n\020explanation_type\030\001 \001(\t\022J\n\020exp"
+          + "lanation_spec\030\002 \001(\01320.google.cloud.aipla"
+          + "tform.v1beta1.ExplanationSpec:\177\352A|\n)aipl"
+          + "atform.googleapis.com/ModelEvaluation\022Op"
+          + "rojects/{project}/locations/{location}/m"
+          + "odels/{model}/evaluations/{evaluation}B\210"
+          + "\001\n#com.google.cloud.aiplatform.v1beta1B\024"
+          + "ModelEvaluationProtoP\001ZIgoogle.golang.or"
+          + "g/genproto/googleapis/cloud/aiplatform/v"
+          + "1beta1;aiplatformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -86,6 +96,17 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "CreateTime",
               "SliceDimensions",
               "ModelExplanation",
+              "ExplanationSpecs",
+            });
+    internal_static_google_cloud_aiplatform_v1beta1_ModelEvaluation_ModelEvaluationExplanationSpec_descriptor =
+        internal_static_google_cloud_aiplatform_v1beta1_ModelEvaluation_descriptor
+            .getNestedTypes()
+            .get(0);
+    internal_static_google_cloud_aiplatform_v1beta1_ModelEvaluation_ModelEvaluationExplanationSpec_fieldAccessorTable =
+        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
+            internal_static_google_cloud_aiplatform_v1beta1_ModelEvaluation_ModelEvaluationExplanationSpec_descriptor,
+            new java.lang.String[] {
+              "ExplanationType", "ExplanationSpec",
             });
     com.google.protobuf.ExtensionRegistry registry =
         com.google.protobuf.ExtensionRegistry.newInstance();
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanation.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanation.java
index 7afe891e0..42b2d89da 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanation.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanation.java
@@ -126,7 +126,7 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
@@ -155,7 +155,7 @@ public java.util.List<com.google.cloud.aiplatform.v1beta1.Attribution> getMeanAt
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
@@ -185,7 +185,7 @@ public java.util.List<com.google.cloud.aiplatform.v1beta1.Attribution> getMeanAt
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
@@ -214,7 +214,7 @@ public int getMeanAttributionsCount() {
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
@@ -243,7 +243,7 @@ public com.google.cloud.aiplatform.v1beta1.Attribution getMeanAttributions(int i
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
@@ -652,7 +652,7 @@ private void ensureMeanAttributionsIsMutable() {
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -685,7 +685,7 @@ private void ensureMeanAttributionsIsMutable() {
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -717,7 +717,7 @@ public int getMeanAttributionsCount() {
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -749,7 +749,7 @@ public com.google.cloud.aiplatform.v1beta1.Attribution getMeanAttributions(int i
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -788,7 +788,7 @@ public Builder setMeanAttributions(
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -824,7 +824,7 @@ public Builder setMeanAttributions(
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -862,7 +862,7 @@ public Builder addMeanAttributions(com.google.cloud.aiplatform.v1beta1.Attributi
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -901,7 +901,7 @@ public Builder addMeanAttributions(
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -937,7 +937,7 @@ public Builder addMeanAttributions(
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -973,7 +973,7 @@ public Builder addMeanAttributions(
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -1009,7 +1009,7 @@ public Builder addAllMeanAttributions(
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -1044,7 +1044,7 @@ public Builder clearMeanAttributions() {
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -1079,7 +1079,7 @@ public Builder removeMeanAttributions(int index) {
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -1108,7 +1108,7 @@ public com.google.cloud.aiplatform.v1beta1.Attribution.Builder getMeanAttributio
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -1141,7 +1141,7 @@ public com.google.cloud.aiplatform.v1beta1.AttributionOrBuilder getMeanAttributi
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -1174,7 +1174,7 @@ public com.google.cloud.aiplatform.v1beta1.AttributionOrBuilder getMeanAttributi
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -1203,7 +1203,7 @@ public com.google.cloud.aiplatform.v1beta1.Attribution.Builder addMeanAttributio
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
@@ -1233,7 +1233,7 @@ public com.google.cloud.aiplatform.v1beta1.Attribution.Builder addMeanAttributio
      *
      *
      * <pre>
-     * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+     * Output only. Aggregated attributions explaining the Model's prediction outputs over the
      * set of instances. The attributions are grouped by outputs.
      * For Models that predict only one output, such as regression Models that
      * predict only one score, there is only one attibution that explains the
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanationOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanationOrBuilder.java
index 1ab25e538..8871d76a7 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanationOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelExplanationOrBuilder.java
@@ -27,7 +27,7 @@ public interface ModelExplanationOrBuilder
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
@@ -53,7 +53,7 @@ public interface ModelExplanationOrBuilder
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
@@ -79,7 +79,7 @@ public interface ModelExplanationOrBuilder
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
@@ -105,7 +105,7 @@ public interface ModelExplanationOrBuilder
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
@@ -132,7 +132,7 @@ public interface ModelExplanationOrBuilder
    *
    *
    * <pre>
-   * Output only. Aggregated attributions explaning the Model's prediction outputs over the
+   * Output only. Aggregated attributions explaining the Model's prediction outputs over the
    * set of instances. The attributions are grouped by outputs.
    * For Models that predict only one output, such as regression Models that
    * predict only one score, there is only one attibution that explains the
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelOrBuilder.java
index b15effdb0..226bd2b21 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelOrBuilder.java
@@ -559,6 +559,10 @@ public interface ModelOrBuilder
    * * `bigquery`
    * Each instance is a single row in BigQuery. Uses
    * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+   * * `file-list`
+   * Each line of the file is the location of an instance to process, uses
+   * `gcs_source` field of the
+   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
    * If this Model doesn't support any of these formats it means it cannot be
    * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
    * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -598,6 +602,10 @@ public interface ModelOrBuilder
    * * `bigquery`
    * Each instance is a single row in BigQuery. Uses
    * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+   * * `file-list`
+   * Each line of the file is the location of an instance to process, uses
+   * `gcs_source` field of the
+   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
    * If this Model doesn't support any of these formats it means it cannot be
    * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
    * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -637,6 +645,10 @@ public interface ModelOrBuilder
    * * `bigquery`
    * Each instance is a single row in BigQuery. Uses
    * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+   * * `file-list`
+   * Each line of the file is the location of an instance to process, uses
+   * `gcs_source` field of the
+   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
    * If this Model doesn't support any of these formats it means it cannot be
    * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
    * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -677,6 +689,10 @@ public interface ModelOrBuilder
    * * `bigquery`
    * Each instance is a single row in BigQuery. Uses
    * [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
+   * * `file-list`
+   * Each line of the file is the location of an instance to process, uses
+   * `gcs_source` field of the
+   * [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
    * If this Model doesn't support any of these formats it means it cannot be
    * used with a [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob]. However, if it has
    * [supported_deployment_resources_types][google.cloud.aiplatform.v1beta1.Model.supported_deployment_resources_types], it could serve online
@@ -996,19 +1012,20 @@ com.google.cloud.aiplatform.v1beta1.DeployedModelRefOrBuilder getDeployedModelsO
    *
    *
    * <pre>
-   * Output only. The default explanation specification for this Model.
-   * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-   * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+   * The default explanation specification for this Model.
+   * The Model can be used for [requesting
+   * explanation][PredictionService.Explain] after being
+   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+   * The Model can be used for [batch
+   * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
    * All fields of the explanation_spec can be overridden by
    * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-   * This field is populated only for tabular AutoML Models.
-   * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
    * </pre>
    *
-   * <code>
-   * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-   * </code>
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
    *
    * @return Whether the explanationSpec field is set.
    */
@@ -1017,19 +1034,20 @@ com.google.cloud.aiplatform.v1beta1.DeployedModelRefOrBuilder getDeployedModelsO
    *
    *
    * <pre>
-   * Output only. The default explanation specification for this Model.
-   * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-   * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+   * The default explanation specification for this Model.
+   * The Model can be used for [requesting
+   * explanation][PredictionService.Explain] after being
+   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+   * The Model can be used for [batch
+   * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
    * All fields of the explanation_spec can be overridden by
    * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-   * This field is populated only for tabular AutoML Models.
-   * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
    * </pre>
    *
-   * <code>
-   * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-   * </code>
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
    *
    * @return The explanationSpec.
    */
@@ -1038,19 +1056,20 @@ com.google.cloud.aiplatform.v1beta1.DeployedModelRefOrBuilder getDeployedModelsO
    *
    *
    * <pre>
-   * Output only. The default explanation specification for this Model.
-   * Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-   * after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+   * The default explanation specification for this Model.
+   * The Model can be used for [requesting
+   * explanation][PredictionService.Explain] after being
+   * [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+   * The Model can be used for [batch
+   * explanation][BatchPredictionJob.generate_explanation] iff it is populated.
    * All fields of the explanation_spec can be overridden by
    * [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-   * This field is populated only for tabular AutoML Models.
-   * Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
+   * [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+   * [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+   * [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
    * </pre>
    *
-   * <code>
-   * .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
-   * </code>
+   * <code>.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 23;</code>
    */
   com.google.cloud.aiplatform.v1beta1.ExplanationSpecOrBuilder getExplanationSpecOrBuilder();
 
@@ -1154,4 +1173,42 @@ com.google.cloud.aiplatform.v1beta1.DeployedModelRefOrBuilder getDeployedModelsO
    * <code>map&lt;string, string&gt; labels = 17;</code>
    */
   java.lang.String getLabelsOrThrow(java.lang.String key);
+
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Model. If set, this
+   * Model and all sub-resources of this Model will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  boolean hasEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Model. If set, this
+   * Model and all sub-resources of this Model will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a Model. If set, this
+   * Model and all sub-resources of this Model will be secured by this key.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 24;</code>
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelProto.java
index 76874664e..c8b0bde7f 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ModelProto.java
@@ -66,64 +66,67 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "api/resource.proto\032-google/cloud/aiplatf"
           + "orm/v1beta1/dataset.proto\0328google/cloud/"
           + "aiplatform/v1beta1/deployed_model_ref.pr"
-          + "oto\032-google/cloud/aiplatform/v1beta1/env"
-          + "_var.proto\0321google/cloud/aiplatform/v1be"
-          + "ta1/explanation.proto\032\034google/protobuf/s"
-          + "truct.proto\032\037google/protobuf/timestamp.p"
-          + "roto\032\034google/api/annotations.proto\"\214\014\n\005M"
-          + "odel\022\014\n\004name\030\001 \001(\t\022\031\n\014display_name\030\002 \001(\t"
-          + "B\003\340A\002\022\023\n\013description\030\003 \001(\t\022J\n\020predict_sc"
-          + "hemata\030\004 \001(\01320.google.cloud.aiplatform.v"
-          + "1beta1.PredictSchemata\022 \n\023metadata_schem"
-          + "a_uri\030\005 \001(\tB\003\340A\005\022-\n\010metadata\030\006 \001(\0132\026.goo"
-          + "gle.protobuf.ValueB\003\340A\005\022Z\n\030supported_exp"
-          + "ort_formats\030\024 \003(\01323.google.cloud.aiplatf"
-          + "orm.v1beta1.Model.ExportFormatB\003\340A\003\022M\n\021t"
-          + "raining_pipeline\030\007 \001(\tB2\340A\003\372A,\n*aiplatfo"
-          + "rm.googleapis.com/TrainingPipeline\022P\n\016co"
-          + "ntainer_spec\030\t \001(\01323.google.cloud.aiplat"
-          + "form.v1beta1.ModelContainerSpecB\003\340A\004\022\031\n\014"
-          + "artifact_uri\030\032 \001(\tB\003\340A\005\022q\n$supported_dep"
-          + "loyment_resources_types\030\n \003(\0162>.google.c"
-          + "loud.aiplatform.v1beta1.Model.Deployment"
-          + "ResourcesTypeB\003\340A\003\022,\n\037supported_input_st"
-          + "orage_formats\030\013 \003(\tB\003\340A\003\022-\n supported_ou"
-          + "tput_storage_formats\030\014 \003(\tB\003\340A\003\0224\n\013creat"
-          + "e_time\030\r \001(\0132\032.google.protobuf.Timestamp"
-          + "B\003\340A\003\0224\n\013update_time\030\016 \001(\0132\032.google.prot"
-          + "obuf.TimestampB\003\340A\003\022O\n\017deployed_models\030\017"
-          + " \003(\01321.google.cloud.aiplatform.v1beta1.D"
-          + "eployedModelRefB\003\340A\003\022O\n\020explanation_spec"
-          + "\030\027 \001(\01320.google.cloud.aiplatform.v1beta1"
-          + ".ExplanationSpecB\003\340A\003\022\014\n\004etag\030\020 \001(\t\022B\n\006l"
-          + "abels\030\021 \003(\01322.google.cloud.aiplatform.v1"
-          + "beta1.Model.LabelsEntry\032\332\001\n\014ExportFormat"
-          + "\022\017\n\002id\030\001 \001(\tB\003\340A\003\022g\n\023exportable_contents"
-          + "\030\002 \003(\0162E.google.cloud.aiplatform.v1beta1"
-          + ".Model.ExportFormat.ExportableContentB\003\340"
-          + "A\003\"P\n\021ExportableContent\022\"\n\036EXPORTABLE_CO"
-          + "NTENT_UNSPECIFIED\020\000\022\014\n\010ARTIFACT\020\001\022\t\n\005IMA"
-          + "GE\020\002\032-\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005valu"
-          + "e\030\002 \001(\t:\0028\001\"v\n\027DeploymentResourcesType\022)"
-          + "\n%DEPLOYMENT_RESOURCES_TYPE_UNSPECIFIED\020"
-          + "\000\022\027\n\023DEDICATED_RESOURCES\020\001\022\027\n\023AUTOMATIC_"
-          + "RESOURCES\020\002:\\\352AY\n\037aiplatform.googleapis."
-          + "com/Model\0226projects/{project}/locations/"
-          + "{location}/models/{model}\"{\n\017PredictSche"
-          + "mata\022 \n\023instance_schema_uri\030\001 \001(\tB\003\340A\005\022\""
-          + "\n\025parameters_schema_uri\030\002 \001(\tB\003\340A\005\022\"\n\025pr"
-          + "ediction_schema_uri\030\003 \001(\tB\003\340A\005\"\205\002\n\022Model"
-          + "ContainerSpec\022\031\n\timage_uri\030\001 \001(\tB\006\340A\002\340A\005"
-          + "\022\024\n\007command\030\002 \003(\tB\003\340A\005\022\021\n\004args\030\003 \003(\tB\003\340A"
-          + "\005\0229\n\003env\030\004 \003(\0132\'.google.cloud.aiplatform"
-          + ".v1beta1.EnvVarB\003\340A\005\0229\n\005ports\030\005 \003(\0132%.go"
-          + "ogle.cloud.aiplatform.v1beta1.PortB\003\340A\005\022"
-          + "\032\n\rpredict_route\030\006 \001(\tB\003\340A\005\022\031\n\014health_ro"
-          + "ute\030\007 \001(\tB\003\340A\005\"\036\n\004Port\022\026\n\016container_port"
-          + "\030\003 \001(\005B~\n#com.google.cloud.aiplatform.v1"
-          + "beta1B\nModelProtoP\001ZIgoogle.golang.org/g"
-          + "enproto/googleapis/cloud/aiplatform/v1be"
-          + "ta1;aiplatformb\006proto3"
+          + "oto\0325google/cloud/aiplatform/v1beta1/enc"
+          + "ryption_spec.proto\032-google/cloud/aiplatf"
+          + "orm/v1beta1/env_var.proto\0321google/cloud/"
+          + "aiplatform/v1beta1/explanation.proto\032\034go"
+          + "ogle/protobuf/struct.proto\032\037google/proto"
+          + "buf/timestamp.proto\032\034google/api/annotati"
+          + "ons.proto\"\321\014\n\005Model\022\014\n\004name\030\001 \001(\t\022\031\n\014dis"
+          + "play_name\030\002 \001(\tB\003\340A\002\022\023\n\013description\030\003 \001("
+          + "\t\022J\n\020predict_schemata\030\004 \001(\01320.google.clo"
+          + "ud.aiplatform.v1beta1.PredictSchemata\022 \n"
+          + "\023metadata_schema_uri\030\005 \001(\tB\003\340A\005\022-\n\010metad"
+          + "ata\030\006 \001(\0132\026.google.protobuf.ValueB\003\340A\005\022Z"
+          + "\n\030supported_export_formats\030\024 \003(\01323.googl"
+          + "e.cloud.aiplatform.v1beta1.Model.ExportF"
+          + "ormatB\003\340A\003\022M\n\021training_pipeline\030\007 \001(\tB2\340"
+          + "A\003\372A,\n*aiplatform.googleapis.com/Trainin"
+          + "gPipeline\022P\n\016container_spec\030\t \001(\01323.goog"
+          + "le.cloud.aiplatform.v1beta1.ModelContain"
+          + "erSpecB\003\340A\004\022\031\n\014artifact_uri\030\032 \001(\tB\003\340A\005\022q"
+          + "\n$supported_deployment_resources_types\030\n"
+          + " \003(\0162>.google.cloud.aiplatform.v1beta1.M"
+          + "odel.DeploymentResourcesTypeB\003\340A\003\022,\n\037sup"
+          + "ported_input_storage_formats\030\013 \003(\tB\003\340A\003\022"
+          + "-\n supported_output_storage_formats\030\014 \003("
+          + "\tB\003\340A\003\0224\n\013create_time\030\r \001(\0132\032.google.pro"
+          + "tobuf.TimestampB\003\340A\003\0224\n\013update_time\030\016 \001("
+          + "\0132\032.google.protobuf.TimestampB\003\340A\003\022O\n\017de"
+          + "ployed_models\030\017 \003(\01321.google.cloud.aipla"
+          + "tform.v1beta1.DeployedModelRefB\003\340A\003\022J\n\020e"
+          + "xplanation_spec\030\027 \001(\01320.google.cloud.aip"
+          + "latform.v1beta1.ExplanationSpec\022\014\n\004etag\030"
+          + "\020 \001(\t\022B\n\006labels\030\021 \003(\01322.google.cloud.aip"
+          + "latform.v1beta1.Model.LabelsEntry\022H\n\017enc"
+          + "ryption_spec\030\030 \001(\0132/.google.cloud.aiplat"
+          + "form.v1beta1.EncryptionSpec\032\332\001\n\014ExportFo"
+          + "rmat\022\017\n\002id\030\001 \001(\tB\003\340A\003\022g\n\023exportable_cont"
+          + "ents\030\002 \003(\0162E.google.cloud.aiplatform.v1b"
+          + "eta1.Model.ExportFormat.ExportableConten"
+          + "tB\003\340A\003\"P\n\021ExportableContent\022\"\n\036EXPORTABL"
+          + "E_CONTENT_UNSPECIFIED\020\000\022\014\n\010ARTIFACT\020\001\022\t\n"
+          + "\005IMAGE\020\002\032-\n\013LabelsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005"
+          + "value\030\002 \001(\t:\0028\001\"v\n\027DeploymentResourcesTy"
+          + "pe\022)\n%DEPLOYMENT_RESOURCES_TYPE_UNSPECIF"
+          + "IED\020\000\022\027\n\023DEDICATED_RESOURCES\020\001\022\027\n\023AUTOMA"
+          + "TIC_RESOURCES\020\002:\\\352AY\n\037aiplatform.googlea"
+          + "pis.com/Model\0226projects/{project}/locati"
+          + "ons/{location}/models/{model}\"{\n\017Predict"
+          + "Schemata\022 \n\023instance_schema_uri\030\001 \001(\tB\003\340"
+          + "A\005\022\"\n\025parameters_schema_uri\030\002 \001(\tB\003\340A\005\022\""
+          + "\n\025prediction_schema_uri\030\003 \001(\tB\003\340A\005\"\205\002\n\022M"
+          + "odelContainerSpec\022\031\n\timage_uri\030\001 \001(\tB\006\340A"
+          + "\002\340A\005\022\024\n\007command\030\002 \003(\tB\003\340A\005\022\021\n\004args\030\003 \003(\t"
+          + "B\003\340A\005\0229\n\003env\030\004 \003(\0132\'.google.cloud.aiplat"
+          + "form.v1beta1.EnvVarB\003\340A\005\0229\n\005ports\030\005 \003(\0132"
+          + "%.google.cloud.aiplatform.v1beta1.PortB\003"
+          + "\340A\005\022\032\n\rpredict_route\030\006 \001(\tB\003\340A\005\022\031\n\014healt"
+          + "h_route\030\007 \001(\tB\003\340A\005\"\036\n\004Port\022\026\n\016container_"
+          + "port\030\003 \001(\005B~\n#com.google.cloud.aiplatfor"
+          + "m.v1beta1B\nModelProtoP\001ZIgoogle.golang.o"
+          + "rg/genproto/googleapis/cloud/aiplatform/"
+          + "v1beta1;aiplatformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -133,6 +136,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               com.google.api.ResourceProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.DatasetProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.DeployedModelNameProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.EnvVarProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.ExplanationProto.getDescriptor(),
               com.google.protobuf.StructProto.getDescriptor(),
@@ -164,6 +168,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "ExplanationSpec",
               "Etag",
               "Labels",
+              "EncryptionSpec",
             });
     internal_static_google_cloud_aiplatform_v1beta1_Model_ExportFormat_descriptor =
         internal_static_google_cloud_aiplatform_v1beta1_Model_descriptor.getNestedTypes().get(0);
@@ -216,6 +221,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     com.google.api.ResourceProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.DatasetProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.DeployedModelNameProto.getDescriptor();
+    com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.EnvVarProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.ExplanationProto.getDescriptor();
     com.google.protobuf.StructProto.getDescriptor();
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceProto.java
index b8d6202ed..317cc7b1d 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/PredictionServiceProto.java
@@ -65,34 +65,36 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "tobuf.ValueB\003\340A\002\022*\n\nparameters\030\003 \001(\0132\026.g"
           + "oogle.protobuf.Value\"Y\n\017PredictResponse\022"
           + "+\n\013predictions\030\001 \003(\0132\026.google.protobuf.V"
-          + "alue\022\031\n\021deployed_model_id\030\002 \001(\t\"\305\001\n\016Expl"
+          + "alue\022\031\n\021deployed_model_id\030\002 \001(\t\"\242\002\n\016Expl"
           + "ainRequest\022<\n\010endpoint\030\001 \001(\tB*\340A\002\372A$\n\"ai"
           + "platform.googleapis.com/Endpoint\022.\n\tinst"
           + "ances\030\002 \003(\0132\026.google.protobuf.ValueB\003\340A\002"
           + "\022*\n\nparameters\030\004 \001(\0132\026.google.protobuf.V"
-          + "alue\022\031\n\021deployed_model_id\030\003 \001(\t\"\235\001\n\017Expl"
-          + "ainResponse\022B\n\014explanations\030\001 \003(\0132,.goog"
-          + "le.cloud.aiplatform.v1beta1.Explanation\022"
-          + "\031\n\021deployed_model_id\030\002 \001(\t\022+\n\013prediction"
-          + "s\030\003 \003(\0132\026.google.protobuf.Value2\250\004\n\021Pred"
-          + "ictionService\022\327\001\n\007Predict\022/.google.cloud"
-          + ".aiplatform.v1beta1.PredictRequest\0320.goo"
-          + "gle.cloud.aiplatform.v1beta1.PredictResp"
-          + "onse\"i\202\323\344\223\002C\">/v1beta1/{endpoint=project"
-          + "s/*/locations/*/endpoints/*}:predict:\001*\332"
-          + "A\035endpoint,instances,parameters\022\351\001\n\007Expl"
-          + "ain\022/.google.cloud.aiplatform.v1beta1.Ex"
-          + "plainRequest\0320.google.cloud.aiplatform.v"
-          + "1beta1.ExplainResponse\"{\202\323\344\223\002C\">/v1beta1"
-          + "/{endpoint=projects/*/locations/*/endpoi"
-          + "nts/*}:explain:\001*\332A/endpoint,instances,p"
-          + "arameters,deployed_model_id\032M\312A\031aiplatfo"
-          + "rm.googleapis.com\322A.https://www.googleap"
-          + "is.com/auth/cloud-platformB\212\001\n#com.googl"
-          + "e.cloud.aiplatform.v1beta1B\026PredictionSe"
-          + "rviceProtoP\001ZIgoogle.golang.org/genproto"
-          + "/googleapis/cloud/aiplatform/v1beta1;aip"
-          + "latformb\006proto3"
+          + "alue\022[\n\031explanation_spec_override\030\005 \001(\0132"
+          + "8.google.cloud.aiplatform.v1beta1.Explan"
+          + "ationSpecOverride\022\031\n\021deployed_model_id\030\003"
+          + " \001(\t\"\235\001\n\017ExplainResponse\022B\n\014explanations"
+          + "\030\001 \003(\0132,.google.cloud.aiplatform.v1beta1"
+          + ".Explanation\022\031\n\021deployed_model_id\030\002 \001(\t\022"
+          + "+\n\013predictions\030\003 \003(\0132\026.google.protobuf.V"
+          + "alue2\250\004\n\021PredictionService\022\327\001\n\007Predict\022/"
+          + ".google.cloud.aiplatform.v1beta1.Predict"
+          + "Request\0320.google.cloud.aiplatform.v1beta"
+          + "1.PredictResponse\"i\202\323\344\223\002C\">/v1beta1/{end"
+          + "point=projects/*/locations/*/endpoints/*"
+          + "}:predict:\001*\332A\035endpoint,instances,parame"
+          + "ters\022\351\001\n\007Explain\022/.google.cloud.aiplatfo"
+          + "rm.v1beta1.ExplainRequest\0320.google.cloud"
+          + ".aiplatform.v1beta1.ExplainResponse\"{\202\323\344"
+          + "\223\002C\">/v1beta1/{endpoint=projects/*/locat"
+          + "ions/*/endpoints/*}:explain:\001*\332A/endpoin"
+          + "t,instances,parameters,deployed_model_id"
+          + "\032M\312A\031aiplatform.googleapis.com\322A.https:/"
+          + "/www.googleapis.com/auth/cloud-platformB"
+          + "\212\001\n#com.google.cloud.aiplatform.v1beta1B"
+          + "\026PredictionServiceProtoP\001ZIgoogle.golang"
+          + ".org/genproto/googleapis/cloud/aiplatfor"
+          + "m/v1beta1;aiplatformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -127,7 +129,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_ExplainRequest_descriptor,
             new java.lang.String[] {
-              "Endpoint", "Instances", "Parameters", "DeployedModelId",
+              "Endpoint", "Instances", "Parameters", "ExplanationSpecOverride", "DeployedModelId",
             });
     internal_static_google_cloud_aiplatform_v1beta1_ExplainResponse_descriptor =
         getDescriptor().getMessageTypes().get(3);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequest.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequest.java
index 53ac48b90..281e54cbc 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequest.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequest.java
@@ -41,6 +41,7 @@ private SearchMigratableResourcesRequest(
   private SearchMigratableResourcesRequest() {
     parent_ = "";
     pageToken_ = "";
+    filter_ = "";
   }
 
   @java.lang.Override
@@ -91,6 +92,13 @@ private SearchMigratableResourcesRequest(
               pageToken_ = s;
               break;
             }
+          case 34:
+            {
+              java.lang.String s = input.readStringRequireUtf8();
+
+              filter_ = s;
+              break;
+            }
           default:
             {
               if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
@@ -254,6 +262,71 @@ public com.google.protobuf.ByteString getPageTokenBytes() {
     }
   }
 
+  public static final int FILTER_FIELD_NUMBER = 4;
+  private volatile java.lang.Object filter_;
+  /**
+   *
+   *
+   * <pre>
+   * Supported filters are:
+   * * Resource type: For a specific type of MigratableResource.
+   *   * `ml_engine_model_version:*`
+   *   * `automl_model:*`,
+   *   * `automl_dataset:*`
+   *   * `data_labeling_dataset:*`.
+   * * Migrated or not: Filter migrated resource or not by last_migrate_time.
+   *   * `last_migrate_time:*` will filter migrated resources.
+   *   * `NOT last_migrate_time:*` will filter not yet migrated resource.
+   * </pre>
+   *
+   * <code>string filter = 4;</code>
+   *
+   * @return The filter.
+   */
+  @java.lang.Override
+  public java.lang.String getFilter() {
+    java.lang.Object ref = filter_;
+    if (ref instanceof java.lang.String) {
+      return (java.lang.String) ref;
+    } else {
+      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+      java.lang.String s = bs.toStringUtf8();
+      filter_ = s;
+      return s;
+    }
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Supported filters are:
+   * * Resource type: For a specific type of MigratableResource.
+   *   * `ml_engine_model_version:*`
+   *   * `automl_model:*`,
+   *   * `automl_dataset:*`
+   *   * `data_labeling_dataset:*`.
+   * * Migrated or not: Filter migrated resource or not by last_migrate_time.
+   *   * `last_migrate_time:*` will filter migrated resources.
+   *   * `NOT last_migrate_time:*` will filter not yet migrated resource.
+   * </pre>
+   *
+   * <code>string filter = 4;</code>
+   *
+   * @return The bytes for filter.
+   */
+  @java.lang.Override
+  public com.google.protobuf.ByteString getFilterBytes() {
+    java.lang.Object ref = filter_;
+    if (ref instanceof java.lang.String) {
+      com.google.protobuf.ByteString b =
+          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+      filter_ = b;
+      return b;
+    } else {
+      return (com.google.protobuf.ByteString) ref;
+    }
+  }
+
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -277,6 +350,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     if (!getPageTokenBytes().isEmpty()) {
       com.google.protobuf.GeneratedMessageV3.writeString(output, 3, pageToken_);
     }
+    if (!getFilterBytes().isEmpty()) {
+      com.google.protobuf.GeneratedMessageV3.writeString(output, 4, filter_);
+    }
     unknownFields.writeTo(output);
   }
 
@@ -295,6 +371,9 @@ public int getSerializedSize() {
     if (!getPageTokenBytes().isEmpty()) {
       size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, pageToken_);
     }
+    if (!getFilterBytes().isEmpty()) {
+      size += com.google.protobuf.GeneratedMessageV3.computeStringSize(4, filter_);
+    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -314,6 +393,7 @@ public boolean equals(final java.lang.Object obj) {
     if (!getParent().equals(other.getParent())) return false;
     if (getPageSize() != other.getPageSize()) return false;
     if (!getPageToken().equals(other.getPageToken())) return false;
+    if (!getFilter().equals(other.getFilter())) return false;
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -331,6 +411,8 @@ public int hashCode() {
     hash = (53 * hash) + getPageSize();
     hash = (37 * hash) + PAGE_TOKEN_FIELD_NUMBER;
     hash = (53 * hash) + getPageToken().hashCode();
+    hash = (37 * hash) + FILTER_FIELD_NUMBER;
+    hash = (53 * hash) + getFilter().hashCode();
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -485,6 +567,8 @@ public Builder clear() {
 
       pageToken_ = "";
 
+      filter_ = "";
+
       return this;
     }
 
@@ -517,6 +601,7 @@ public com.google.cloud.aiplatform.v1beta1.SearchMigratableResourcesRequest buil
       result.parent_ = parent_;
       result.pageSize_ = pageSize_;
       result.pageToken_ = pageToken_;
+      result.filter_ = filter_;
       onBuilt();
       return result;
     }
@@ -581,6 +666,10 @@ public Builder mergeFrom(
         pageToken_ = other.pageToken_;
         onChanged();
       }
+      if (!other.getFilter().isEmpty()) {
+        filter_ = other.filter_;
+        onChanged();
+      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -909,6 +998,152 @@ public Builder setPageTokenBytes(com.google.protobuf.ByteString value) {
       return this;
     }
 
+    private java.lang.Object filter_ = "";
+    /**
+     *
+     *
+     * <pre>
+     * Supported filters are:
+     * * Resource type: For a specific type of MigratableResource.
+     *   * `ml_engine_model_version:*`
+     *   * `automl_model:*`,
+     *   * `automl_dataset:*`
+     *   * `data_labeling_dataset:*`.
+     * * Migrated or not: Filter migrated resource or not by last_migrate_time.
+     *   * `last_migrate_time:*` will filter migrated resources.
+     *   * `NOT last_migrate_time:*` will filter not yet migrated resource.
+     * </pre>
+     *
+     * <code>string filter = 4;</code>
+     *
+     * @return The filter.
+     */
+    public java.lang.String getFilter() {
+      java.lang.Object ref = filter_;
+      if (!(ref instanceof java.lang.String)) {
+        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+        java.lang.String s = bs.toStringUtf8();
+        filter_ = s;
+        return s;
+      } else {
+        return (java.lang.String) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Supported filters are:
+     * * Resource type: For a specific type of MigratableResource.
+     *   * `ml_engine_model_version:*`
+     *   * `automl_model:*`,
+     *   * `automl_dataset:*`
+     *   * `data_labeling_dataset:*`.
+     * * Migrated or not: Filter migrated resource or not by last_migrate_time.
+     *   * `last_migrate_time:*` will filter migrated resources.
+     *   * `NOT last_migrate_time:*` will filter not yet migrated resource.
+     * </pre>
+     *
+     * <code>string filter = 4;</code>
+     *
+     * @return The bytes for filter.
+     */
+    public com.google.protobuf.ByteString getFilterBytes() {
+      java.lang.Object ref = filter_;
+      if (ref instanceof String) {
+        com.google.protobuf.ByteString b =
+            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+        filter_ = b;
+        return b;
+      } else {
+        return (com.google.protobuf.ByteString) ref;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Supported filters are:
+     * * Resource type: For a specific type of MigratableResource.
+     *   * `ml_engine_model_version:*`
+     *   * `automl_model:*`,
+     *   * `automl_dataset:*`
+     *   * `data_labeling_dataset:*`.
+     * * Migrated or not: Filter migrated resource or not by last_migrate_time.
+     *   * `last_migrate_time:*` will filter migrated resources.
+     *   * `NOT last_migrate_time:*` will filter not yet migrated resource.
+     * </pre>
+     *
+     * <code>string filter = 4;</code>
+     *
+     * @param value The filter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setFilter(java.lang.String value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      filter_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Supported filters are:
+     * * Resource type: For a specific type of MigratableResource.
+     *   * `ml_engine_model_version:*`
+     *   * `automl_model:*`,
+     *   * `automl_dataset:*`
+     *   * `data_labeling_dataset:*`.
+     * * Migrated or not: Filter migrated resource or not by last_migrate_time.
+     *   * `last_migrate_time:*` will filter migrated resources.
+     *   * `NOT last_migrate_time:*` will filter not yet migrated resource.
+     * </pre>
+     *
+     * <code>string filter = 4;</code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearFilter() {
+
+      filter_ = getDefaultInstance().getFilter();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Supported filters are:
+     * * Resource type: For a specific type of MigratableResource.
+     *   * `ml_engine_model_version:*`
+     *   * `automl_model:*`,
+     *   * `automl_dataset:*`
+     *   * `data_labeling_dataset:*`.
+     * * Migrated or not: Filter migrated resource or not by last_migrate_time.
+     *   * `last_migrate_time:*` will filter migrated resources.
+     *   * `NOT last_migrate_time:*` will filter not yet migrated resource.
+     * </pre>
+     *
+     * <code>string filter = 4;</code>
+     *
+     * @param value The bytes for filter to set.
+     * @return This builder for chaining.
+     */
+    public Builder setFilterBytes(com.google.protobuf.ByteString value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+      checkByteStringIsUtf8(value);
+
+      filter_ = value;
+      onChanged();
+      return this;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequestOrBuilder.java
index 745f02b0f..a7fe855c4 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequestOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SearchMigratableResourcesRequestOrBuilder.java
@@ -98,4 +98,45 @@ public interface SearchMigratableResourcesRequestOrBuilder
    * @return The bytes for pageToken.
    */
   com.google.protobuf.ByteString getPageTokenBytes();
+
+  /**
+   *
+   *
+   * <pre>
+   * Supported filters are:
+   * * Resource type: For a specific type of MigratableResource.
+   *   * `ml_engine_model_version:*`
+   *   * `automl_model:*`,
+   *   * `automl_dataset:*`
+   *   * `data_labeling_dataset:*`.
+   * * Migrated or not: Filter migrated resource or not by last_migrate_time.
+   *   * `last_migrate_time:*` will filter migrated resources.
+   *   * `NOT last_migrate_time:*` will filter not yet migrated resource.
+   * </pre>
+   *
+   * <code>string filter = 4;</code>
+   *
+   * @return The filter.
+   */
+  java.lang.String getFilter();
+  /**
+   *
+   *
+   * <pre>
+   * Supported filters are:
+   * * Resource type: For a specific type of MigratableResource.
+   *   * `ml_engine_model_version:*`
+   *   * `automl_model:*`,
+   *   * `automl_dataset:*`
+   *   * `data_labeling_dataset:*`.
+   * * Migrated or not: Filter migrated resource or not by last_migrate_time.
+   *   * `last_migrate_time:*` will filter migrated resources.
+   *   * `NOT last_migrate_time:*` will filter not yet migrated resource.
+   * </pre>
+   *
+   * <code>string filter = 4;</code>
+   *
+   * @return The bytes for filter.
+   */
+  com.google.protobuf.ByteString getFilterBytes();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfig.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfig.java
index f2d574cd0..3948ee145 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfig.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfig.java
@@ -192,11 +192,9 @@ public GradientNoiseSigmaCase getGradientNoiseSigmaCase() {
    * This is a single float value and will be used to add noise to all the
    * features. Use this field when all features are normalized to have the
    * same distribution: scale to range [0, 1], [-1, 1] or z-scoring, where
-   * features are normalized to have 0-mean and 1-variance. Refer to
-   * this doc for more details about normalization:
-   * https:
-   * //developers.google.com/machine-learning
-   * // /data-prep/transform/normalization.
+   * features are normalized to have 0-mean and 1-variance. For more details
+   * about normalization:
+   * https://tinyurl.com/dgc-normalization.
    * For best results the recommended value is about 10% - 20% of the standard
    * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
    * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
@@ -717,11 +715,9 @@ public Builder clearGradientNoiseSigma() {
      * This is a single float value and will be used to add noise to all the
      * features. Use this field when all features are normalized to have the
      * same distribution: scale to range [0, 1], [-1, 1] or z-scoring, where
-     * features are normalized to have 0-mean and 1-variance. Refer to
-     * this doc for more details about normalization:
-     * https:
-     * //developers.google.com/machine-learning
-     * // /data-prep/transform/normalization.
+     * features are normalized to have 0-mean and 1-variance. For more details
+     * about normalization:
+     * https://tinyurl.com/dgc-normalization.
      * For best results the recommended value is about 10% - 20% of the standard
      * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
      * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
@@ -747,11 +743,9 @@ public float getNoiseSigma() {
      * This is a single float value and will be used to add noise to all the
      * features. Use this field when all features are normalized to have the
      * same distribution: scale to range [0, 1], [-1, 1] or z-scoring, where
-     * features are normalized to have 0-mean and 1-variance. Refer to
-     * this doc for more details about normalization:
-     * https:
-     * //developers.google.com/machine-learning
-     * // /data-prep/transform/normalization.
+     * features are normalized to have 0-mean and 1-variance. For more details
+     * about normalization:
+     * https://tinyurl.com/dgc-normalization.
      * For best results the recommended value is about 10% - 20% of the standard
      * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
      * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
@@ -778,11 +772,9 @@ public Builder setNoiseSigma(float value) {
      * This is a single float value and will be used to add noise to all the
      * features. Use this field when all features are normalized to have the
      * same distribution: scale to range [0, 1], [-1, 1] or z-scoring, where
-     * features are normalized to have 0-mean and 1-variance. Refer to
-     * this doc for more details about normalization:
-     * https:
-     * //developers.google.com/machine-learning
-     * // /data-prep/transform/normalization.
+     * features are normalized to have 0-mean and 1-variance. For more details
+     * about normalization:
+     * https://tinyurl.com/dgc-normalization.
      * For best results the recommended value is about 10% - 20% of the standard
      * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
      * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfigOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfigOrBuilder.java
index 47d57d5ab..fd7bd2dfe 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfigOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/SmoothGradConfigOrBuilder.java
@@ -30,11 +30,9 @@ public interface SmoothGradConfigOrBuilder
    * This is a single float value and will be used to add noise to all the
    * features. Use this field when all features are normalized to have the
    * same distribution: scale to range [0, 1], [-1, 1] or z-scoring, where
-   * features are normalized to have 0-mean and 1-variance. Refer to
-   * this doc for more details about normalization:
-   * https:
-   * //developers.google.com/machine-learning
-   * // /data-prep/transform/normalization.
+   * features are normalized to have 0-mean and 1-variance. For more details
+   * about normalization:
+   * https://tinyurl.com/dgc-normalization.
    * For best results the recommended value is about 10% - 20% of the standard
    * deviation of the input feature. Refer to section 3.2 of the SmoothGrad
    * paper: https://arxiv.org/pdf/1706.03825.pdf. Defaults to 0.1.
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudyProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudyProto.java
index 4873428eb..d769cfb2d 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudyProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudyProto.java
@@ -101,87 +101,100 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
           + "google/api/field_behavior.proto\032\031google/"
           + "api/resource.proto\032\036google/protobuf/dura"
           + "tion.proto\032\034google/protobuf/struct.proto"
-          + "\032\037google/protobuf/timestamp.proto\032\034googl"
-          + "e/api/annotations.proto\"\330\004\n\005Trial\022\017\n\002id\030"
-          + "\002 \001(\tB\003\340A\003\022@\n\005state\030\003 \001(\0162,.google.cloud"
-          + ".aiplatform.v1beta1.Trial.StateB\003\340A\003\022I\n\n"
-          + "parameters\030\004 \003(\01320.google.cloud.aiplatfo"
-          + "rm.v1beta1.Trial.ParameterB\003\340A\003\022L\n\021final"
-          + "_measurement\030\005 \001(\0132,.google.cloud.aiplat"
-          + "form.v1beta1.MeasurementB\003\340A\003\0223\n\nstart_t"
-          + "ime\030\007 \001(\0132\032.google.protobuf.TimestampB\003\340"
-          + "A\003\0221\n\010end_time\030\010 \001(\0132\032.google.protobuf.T"
-          + "imestampB\003\340A\003\022?\n\ncustom_job\030\013 \001(\tB+\340A\003\372A"
-          + "%\n#aiplatform.googleapis.com/CustomJob\032R"
-          + "\n\tParameter\022\031\n\014parameter_id\030\001 \001(\tB\003\340A\003\022*"
-          + "\n\005value\030\002 \001(\0132\026.google.protobuf.ValueB\003\340"
-          + "A\003\"f\n\005State\022\025\n\021STATE_UNSPECIFIED\020\000\022\r\n\tRE"
-          + "QUESTED\020\001\022\n\n\006ACTIVE\020\002\022\014\n\010STOPPING\020\003\022\r\n\tS"
-          + "UCCEEDED\020\004\022\016\n\nINFEASIBLE\020\005\"\310\021\n\tStudySpec"
-          + "\022K\n\007metrics\030\001 \003(\01325.google.cloud.aiplatf"
-          + "orm.v1beta1.StudySpec.MetricSpecB\003\340A\002\022Q\n"
-          + "\nparameters\030\002 \003(\01328.google.cloud.aiplatf"
-          + "orm.v1beta1.StudySpec.ParameterSpecB\003\340A\002"
-          + "\022G\n\talgorithm\030\003 \001(\01624.google.cloud.aipla"
-          + "tform.v1beta1.StudySpec.Algorithm\032\272\001\n\nMe"
-          + "tricSpec\022\026\n\tmetric_id\030\001 \001(\tB\003\340A\002\022Q\n\004goal"
-          + "\030\002 \001(\0162>.google.cloud.aiplatform.v1beta1"
-          + ".StudySpec.MetricSpec.GoalTypeB\003\340A\002\"A\n\010G"
-          + "oalType\022\031\n\025GOAL_TYPE_UNSPECIFIED\020\000\022\014\n\010MA"
-          + "XIMIZE\020\001\022\014\n\010MINIMIZE\020\002\032\310\r\n\rParameterSpec"
-          + "\022e\n\021double_value_spec\030\002 \001(\0132H.google.clo"
-          + "ud.aiplatform.v1beta1.StudySpec.Paramete"
-          + "rSpec.DoubleValueSpecH\000\022g\n\022integer_value"
-          + "_spec\030\003 \001(\0132I.google.cloud.aiplatform.v1"
-          + "beta1.StudySpec.ParameterSpec.IntegerVal"
-          + "ueSpecH\000\022o\n\026categorical_value_spec\030\004 \001(\013"
-          + "2M.google.cloud.aiplatform.v1beta1.Study"
-          + "Spec.ParameterSpec.CategoricalValueSpecH"
-          + "\000\022i\n\023discrete_value_spec\030\005 \001(\0132J.google."
-          + "cloud.aiplatform.v1beta1.StudySpec.Param"
-          + "eterSpec.DiscreteValueSpecH\000\022\031\n\014paramete"
-          + "r_id\030\001 \001(\tB\003\340A\002\022V\n\nscale_type\030\006 \001(\0162B.go"
+          + "\032\037google/protobuf/timestamp.proto\032\036googl"
+          + "e/protobuf/wrappers.proto\032\034google/api/an"
+          + "notations.proto\"\306\005\n\005Trial\022\017\n\002id\030\002 \001(\tB\003\340"
+          + "A\003\022@\n\005state\030\003 \001(\0162,.google.cloud.aiplatf"
+          + "orm.v1beta1.Trial.StateB\003\340A\003\022I\n\nparamete"
+          + "rs\030\004 \003(\01320.google.cloud.aiplatform.v1bet"
+          + "a1.Trial.ParameterB\003\340A\003\022L\n\021final_measure"
+          + "ment\030\005 \001(\0132,.google.cloud.aiplatform.v1b"
+          + "eta1.MeasurementB\003\340A\003\0223\n\nstart_time\030\007 \001("
+          + "\0132\032.google.protobuf.TimestampB\003\340A\003\0221\n\010en"
+          + "d_time\030\010 \001(\0132\032.google.protobuf.Timestamp"
+          + "B\003\340A\003\022?\n\ncustom_job\030\013 \001(\tB+\340A\003\372A%\n#aipla"
+          + "tform.googleapis.com/CustomJob\032R\n\tParame"
+          + "ter\022\031\n\014parameter_id\030\001 \001(\tB\003\340A\003\022*\n\005value\030"
+          + "\002 \001(\0132\026.google.protobuf.ValueB\003\340A\003\"f\n\005St"
+          + "ate\022\025\n\021STATE_UNSPECIFIED\020\000\022\r\n\tREQUESTED\020"
+          + "\001\022\n\n\006ACTIVE\020\002\022\014\n\010STOPPING\020\003\022\r\n\tSUCCEEDED"
+          + "\020\004\022\016\n\nINFEASIBLE\020\005:l\352Ai\n\037aiplatform.goog"
+          + "leapis.com/Trial\022Fprojects/{project}/loc"
+          + "ations/{location}/studies/{study}/trials"
+          + "/{trial}\"\307\024\n\tStudySpec\022K\n\007metrics\030\001 \003(\0132"
+          + "5.google.cloud.aiplatform.v1beta1.StudyS"
+          + "pec.MetricSpecB\003\340A\002\022Q\n\nparameters\030\002 \003(\0132"
+          + "8.google.cloud.aiplatform.v1beta1.StudyS"
+          + "pec.ParameterSpecB\003\340A\002\022G\n\talgorithm\030\003 \001("
+          + "\01624.google.cloud.aiplatform.v1beta1.Stud"
+          + "ySpec.Algorithm\022V\n\021observation_noise\030\006 \001"
+          + "(\0162;.google.cloud.aiplatform.v1beta1.Stu"
+          + "dySpec.ObservationNoise\022g\n\032measurement_s"
+          + "election_type\030\007 \001(\0162C.google.cloud.aipla"
+          + "tform.v1beta1.StudySpec.MeasurementSelec"
+          + "tionType\032\272\001\n\nMetricSpec\022\026\n\tmetric_id\030\001 \001"
+          + "(\tB\003\340A\002\022Q\n\004goal\030\002 \001(\0162>.google.cloud.aip"
+          + "latform.v1beta1.StudySpec.MetricSpec.Goa"
+          + "lTypeB\003\340A\002\"A\n\010GoalType\022\031\n\025GOAL_TYPE_UNSP"
+          + "ECIFIED\020\000\022\014\n\010MAXIMIZE\020\001\022\014\n\010MINIMIZE\020\002\032\310\r"
+          + "\n\rParameterSpec\022e\n\021double_value_spec\030\002 \001"
+          + "(\0132H.google.cloud.aiplatform.v1beta1.Stu"
+          + "dySpec.ParameterSpec.DoubleValueSpecH\000\022g"
+          + "\n\022integer_value_spec\030\003 \001(\0132I.google.clou"
+          + "d.aiplatform.v1beta1.StudySpec.Parameter"
+          + "Spec.IntegerValueSpecH\000\022o\n\026categorical_v"
+          + "alue_spec\030\004 \001(\0132M.google.cloud.aiplatfor"
+          + "m.v1beta1.StudySpec.ParameterSpec.Catego"
+          + "ricalValueSpecH\000\022i\n\023discrete_value_spec\030"
+          + "\005 \001(\0132J.google.cloud.aiplatform.v1beta1."
+          + "StudySpec.ParameterSpec.DiscreteValueSpe"
+          + "cH\000\022\031\n\014parameter_id\030\001 \001(\tB\003\340A\002\022V\n\nscale_"
+          + "type\030\006 \001(\0162B.google.cloud.aiplatform.v1b"
+          + "eta1.StudySpec.ParameterSpec.ScaleType\022v"
+          + "\n\033conditional_parameter_specs\030\n \003(\0132Q.go"
           + "ogle.cloud.aiplatform.v1beta1.StudySpec."
-          + "ParameterSpec.ScaleType\022v\n\033conditional_p"
-          + "arameter_specs\030\n \003(\0132Q.google.cloud.aipl"
-          + "atform.v1beta1.StudySpec.ParameterSpec.C"
-          + "onditionalParameterSpec\032A\n\017DoubleValueSp"
-          + "ec\022\026\n\tmin_value\030\001 \001(\001B\003\340A\002\022\026\n\tmax_value\030"
-          + "\002 \001(\001B\003\340A\002\032B\n\020IntegerValueSpec\022\026\n\tmin_va"
-          + "lue\030\001 \001(\003B\003\340A\002\022\026\n\tmax_value\030\002 \001(\003B\003\340A\002\032+"
-          + "\n\024CategoricalValueSpec\022\023\n\006values\030\001 \003(\tB\003"
-          + "\340A\002\032(\n\021DiscreteValueSpec\022\023\n\006values\030\001 \003(\001"
-          + "B\003\340A\002\032\271\005\n\030ConditionalParameterSpec\022\212\001\n\026p"
-          + "arent_discrete_values\030\002 \001(\0132h.google.clo"
-          + "ud.aiplatform.v1beta1.StudySpec.Paramete"
-          + "rSpec.ConditionalParameterSpec.DiscreteV"
-          + "alueConditionH\000\022\200\001\n\021parent_int_values\030\003 "
-          + "\001(\0132c.google.cloud.aiplatform.v1beta1.St"
-          + "udySpec.ParameterSpec.ConditionalParamet"
-          + "erSpec.IntValueConditionH\000\022\220\001\n\031parent_ca"
-          + "tegorical_values\030\004 \001(\0132k.google.cloud.ai"
-          + "platform.v1beta1.StudySpec.ParameterSpec"
-          + ".ConditionalParameterSpec.CategoricalVal"
-          + "ueConditionH\000\022U\n\016parameter_spec\030\001 \001(\01328."
+          + "ParameterSpec.ConditionalParameterSpec\032A"
+          + "\n\017DoubleValueSpec\022\026\n\tmin_value\030\001 \001(\001B\003\340A"
+          + "\002\022\026\n\tmax_value\030\002 \001(\001B\003\340A\002\032B\n\020IntegerValu"
+          + "eSpec\022\026\n\tmin_value\030\001 \001(\003B\003\340A\002\022\026\n\tmax_val"
+          + "ue\030\002 \001(\003B\003\340A\002\032+\n\024CategoricalValueSpec\022\023\n"
+          + "\006values\030\001 \003(\tB\003\340A\002\032(\n\021DiscreteValueSpec\022"
+          + "\023\n\006values\030\001 \003(\001B\003\340A\002\032\271\005\n\030ConditionalPara"
+          + "meterSpec\022\212\001\n\026parent_discrete_values\030\002 \001"
+          + "(\0132h.google.cloud.aiplatform.v1beta1.Stu"
+          + "dySpec.ParameterSpec.ConditionalParamete"
+          + "rSpec.DiscreteValueConditionH\000\022\200\001\n\021paren"
+          + "t_int_values\030\003 \001(\0132c.google.cloud.aiplat"
+          + "form.v1beta1.StudySpec.ParameterSpec.Con"
+          + "ditionalParameterSpec.IntValueConditionH"
+          + "\000\022\220\001\n\031parent_categorical_values\030\004 \001(\0132k."
           + "google.cloud.aiplatform.v1beta1.StudySpe"
-          + "c.ParameterSpecB\003\340A\002\032-\n\026DiscreteValueCon"
-          + "dition\022\023\n\006values\030\001 \003(\001B\003\340A\002\032(\n\021IntValueC"
-          + "ondition\022\023\n\006values\030\001 \003(\003B\003\340A\002\0320\n\031Categor"
-          + "icalValueCondition\022\023\n\006values\030\001 \003(\tB\003\340A\002B"
-          + "\030\n\026parent_value_condition\"n\n\tScaleType\022\032"
-          + "\n\026SCALE_TYPE_UNSPECIFIED\020\000\022\025\n\021UNIT_LINEA"
-          + "R_SCALE\020\001\022\022\n\016UNIT_LOG_SCALE\020\002\022\032\n\026UNIT_RE"
-          + "VERSE_LOG_SCALE\020\003B\026\n\024parameter_value_spe"
-          + "c\"J\n\tAlgorithm\022\031\n\025ALGORITHM_UNSPECIFIED\020"
-          + "\000\022\017\n\013GRID_SEARCH\020\002\022\021\n\rRANDOM_SEARCH\020\003\"\247\001"
-          + "\n\013Measurement\022\027\n\nstep_count\030\002 \001(\003B\003\340A\003\022I"
-          + "\n\007metrics\030\003 \003(\01323.google.cloud.aiplatfor"
-          + "m.v1beta1.Measurement.MetricB\003\340A\003\0324\n\006Met"
-          + "ric\022\026\n\tmetric_id\030\001 \001(\tB\003\340A\003\022\022\n\005value\030\002 \001"
-          + "(\001B\003\340A\003B~\n#com.google.cloud.aiplatform.v"
-          + "1beta1B\nStudyProtoP\001ZIgoogle.golang.org/"
-          + "genproto/googleapis/cloud/aiplatform/v1b"
-          + "eta1;aiplatformb\006proto3"
+          + "c.ParameterSpec.ConditionalParameterSpec"
+          + ".CategoricalValueConditionH\000\022U\n\016paramete"
+          + "r_spec\030\001 \001(\01328.google.cloud.aiplatform.v"
+          + "1beta1.StudySpec.ParameterSpecB\003\340A\002\032-\n\026D"
+          + "iscreteValueCondition\022\023\n\006values\030\001 \003(\001B\003\340"
+          + "A\002\032(\n\021IntValueCondition\022\023\n\006values\030\001 \003(\003B"
+          + "\003\340A\002\0320\n\031CategoricalValueCondition\022\023\n\006val"
+          + "ues\030\001 \003(\tB\003\340A\002B\030\n\026parent_value_condition"
+          + "\"n\n\tScaleType\022\032\n\026SCALE_TYPE_UNSPECIFIED\020"
+          + "\000\022\025\n\021UNIT_LINEAR_SCALE\020\001\022\022\n\016UNIT_LOG_SCA"
+          + "LE\020\002\022\032\n\026UNIT_REVERSE_LOG_SCALE\020\003B\026\n\024para"
+          + "meter_value_spec\"J\n\tAlgorithm\022\031\n\025ALGORIT"
+          + "HM_UNSPECIFIED\020\000\022\017\n\013GRID_SEARCH\020\002\022\021\n\rRAN"
+          + "DOM_SEARCH\020\003\"H\n\020ObservationNoise\022!\n\035OBSE"
+          + "RVATION_NOISE_UNSPECIFIED\020\000\022\007\n\003LOW\020\001\022\010\n\004"
+          + "HIGH\020\002\"r\n\030MeasurementSelectionType\022*\n&ME"
+          + "ASUREMENT_SELECTION_TYPE_UNSPECIFIED\020\000\022\024"
+          + "\n\020LAST_MEASUREMENT\020\001\022\024\n\020BEST_MEASUREMENT"
+          + "\020\002\"\247\001\n\013Measurement\022\027\n\nstep_count\030\002 \001(\003B\003"
+          + "\340A\003\022I\n\007metrics\030\003 \003(\01323.google.cloud.aipl"
+          + "atform.v1beta1.Measurement.MetricB\003\340A\003\0324"
+          + "\n\006Metric\022\026\n\tmetric_id\030\001 \001(\tB\003\340A\003\022\022\n\005valu"
+          + "e\030\002 \001(\001B\003\340A\003B~\n#com.google.cloud.aiplatf"
+          + "orm.v1beta1B\nStudyProtoP\001ZIgoogle.golang"
+          + ".org/genproto/googleapis/cloud/aiplatfor"
+          + "m/v1beta1;aiplatformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -192,6 +205,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               com.google.protobuf.DurationProto.getDescriptor(),
               com.google.protobuf.StructProto.getDescriptor(),
               com.google.protobuf.TimestampProto.getDescriptor(),
+              com.google.protobuf.WrappersProto.getDescriptor(),
               com.google.api.AnnotationsProto.getDescriptor(),
             });
     internal_static_google_cloud_aiplatform_v1beta1_Trial_descriptor =
@@ -216,7 +230,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
         new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
             internal_static_google_cloud_aiplatform_v1beta1_StudySpec_descriptor,
             new java.lang.String[] {
-              "Metrics", "Parameters", "Algorithm",
+              "Metrics", "Parameters", "Algorithm", "ObservationNoise", "MeasurementSelectionType",
             });
     internal_static_google_cloud_aiplatform_v1beta1_StudySpec_MetricSpec_descriptor =
         internal_static_google_cloud_aiplatform_v1beta1_StudySpec_descriptor
@@ -350,6 +364,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     com.google.protobuf.ExtensionRegistry registry =
         com.google.protobuf.ExtensionRegistry.newInstance();
     registry.add(com.google.api.FieldBehaviorProto.fieldBehavior);
+    registry.add(com.google.api.ResourceProto.resource);
     registry.add(com.google.api.ResourceProto.resourceReference);
     com.google.protobuf.Descriptors.FileDescriptor.internalUpdateFileDescriptor(
         descriptor, registry);
@@ -358,6 +373,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
     com.google.protobuf.DurationProto.getDescriptor();
     com.google.protobuf.StructProto.getDescriptor();
     com.google.protobuf.TimestampProto.getDescriptor();
+    com.google.protobuf.WrappersProto.getDescriptor();
     com.google.api.AnnotationsProto.getDescriptor();
   }
 
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpec.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpec.java
index 251335b9d..4b8c8ce8b 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpec.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpec.java
@@ -41,6 +41,8 @@ private StudySpec() {
     metrics_ = java.util.Collections.emptyList();
     parameters_ = java.util.Collections.emptyList();
     algorithm_ = 0;
+    observationNoise_ = 0;
+    measurementSelectionType_ = 0;
   }
 
   @java.lang.Override
@@ -108,6 +110,20 @@ private StudySpec(
               algorithm_ = rawValue;
               break;
             }
+          case 48:
+            {
+              int rawValue = input.readEnum();
+
+              observationNoise_ = rawValue;
+              break;
+            }
+          case 56:
+            {
+              int rawValue = input.readEnum();
+
+              measurementSelectionType_ = rawValue;
+              break;
+            }
           default:
             {
               if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
@@ -307,6 +323,345 @@ private Algorithm(int value) {
     // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1beta1.StudySpec.Algorithm)
   }
 
+  /**
+   *
+   *
+   * <pre>
+   * Describes the noise level of the repeated observations.
+   * "Noisy" means that the repeated observations with the same Trial parameters
+   * may lead to different metric evaluations.
+   * </pre>
+   *
+   * Protobuf enum {@code google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise}
+   */
+  public enum ObservationNoise implements com.google.protobuf.ProtocolMessageEnum {
+    /**
+     *
+     *
+     * <pre>
+     * The default noise level chosen by the AI Platform service.
+     * </pre>
+     *
+     * <code>OBSERVATION_NOISE_UNSPECIFIED = 0;</code>
+     */
+    OBSERVATION_NOISE_UNSPECIFIED(0),
+    /**
+     *
+     *
+     * <pre>
+     * AI Platform Vizier assumes that the objective function is (nearly)
+     * perfectly reproducible, and will never repeat the same Trial
+     * parameters.
+     * </pre>
+     *
+     * <code>LOW = 1;</code>
+     */
+    LOW(1),
+    /**
+     *
+     *
+     * <pre>
+     * AI Platform Vizier will estimate the amount of noise in metric
+     * evaluations, it may repeat the same Trial parameters more than once.
+     * </pre>
+     *
+     * <code>HIGH = 2;</code>
+     */
+    HIGH(2),
+    UNRECOGNIZED(-1),
+    ;
+
+    /**
+     *
+     *
+     * <pre>
+     * The default noise level chosen by the AI Platform service.
+     * </pre>
+     *
+     * <code>OBSERVATION_NOISE_UNSPECIFIED = 0;</code>
+     */
+    public static final int OBSERVATION_NOISE_UNSPECIFIED_VALUE = 0;
+    /**
+     *
+     *
+     * <pre>
+     * AI Platform Vizier assumes that the objective function is (nearly)
+     * perfectly reproducible, and will never repeat the same Trial
+     * parameters.
+     * </pre>
+     *
+     * <code>LOW = 1;</code>
+     */
+    public static final int LOW_VALUE = 1;
+    /**
+     *
+     *
+     * <pre>
+     * AI Platform Vizier will estimate the amount of noise in metric
+     * evaluations, it may repeat the same Trial parameters more than once.
+     * </pre>
+     *
+     * <code>HIGH = 2;</code>
+     */
+    public static final int HIGH_VALUE = 2;
+
+    public final int getNumber() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalArgumentException(
+            "Can't get the number of an unknown enum value.");
+      }
+      return value;
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static ObservationNoise valueOf(int value) {
+      return forNumber(value);
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     */
+    public static ObservationNoise forNumber(int value) {
+      switch (value) {
+        case 0:
+          return OBSERVATION_NOISE_UNSPECIFIED;
+        case 1:
+          return LOW;
+        case 2:
+          return HIGH;
+        default:
+          return null;
+      }
+    }
+
+    public static com.google.protobuf.Internal.EnumLiteMap<ObservationNoise> internalGetValueMap() {
+      return internalValueMap;
+    }
+
+    private static final com.google.protobuf.Internal.EnumLiteMap<ObservationNoise>
+        internalValueMap =
+            new com.google.protobuf.Internal.EnumLiteMap<ObservationNoise>() {
+              public ObservationNoise findValueByNumber(int number) {
+                return ObservationNoise.forNumber(number);
+              }
+            };
+
+    public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalStateException(
+            "Can't get the descriptor of an unrecognized enum value.");
+      }
+      return getDescriptor().getValues().get(ordinal());
+    }
+
+    public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
+      return getDescriptor();
+    }
+
+    public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1beta1.StudySpec.getDescriptor().getEnumTypes().get(1);
+    }
+
+    private static final ObservationNoise[] VALUES = values();
+
+    public static ObservationNoise valueOf(
+        com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
+      if (desc.getType() != getDescriptor()) {
+        throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
+      }
+      if (desc.getIndex() == -1) {
+        return UNRECOGNIZED;
+      }
+      return VALUES[desc.getIndex()];
+    }
+
+    private final int value;
+
+    private ObservationNoise(int value) {
+      this.value = value;
+    }
+
+    // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise)
+  }
+
+  /**
+   *
+   *
+   * <pre>
+   * This indicates which measurement to use if/when the service automatically
+   * selects the final measurement from previously reported intermediate
+   * measurements. Choose this based on two considerations:
+   *  A) Do you expect your measurements to monotonically improve?
+   *     If so, choose LAST_MEASUREMENT. On the other hand, if you're in a
+   *     situation where your system can "over-train" and you expect the
+   *     performance to get better for a while but then start declining,
+   *     choose BEST_MEASUREMENT.
+   *  B) Are your measurements significantly noisy and/or irreproducible?
+   *     If so, BEST_MEASUREMENT will tend to be over-optimistic, and it
+   *     may be better to choose LAST_MEASUREMENT.
+   *  If both or neither of (A) and (B) apply, it doesn't matter which
+   *  selection type is chosen.
+   * </pre>
+   *
+   * Protobuf enum {@code google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType}
+   */
+  public enum MeasurementSelectionType implements com.google.protobuf.ProtocolMessageEnum {
+    /**
+     *
+     *
+     * <pre>
+     * Will be treated as LAST_MEASUREMENT.
+     * </pre>
+     *
+     * <code>MEASUREMENT_SELECTION_TYPE_UNSPECIFIED = 0;</code>
+     */
+    MEASUREMENT_SELECTION_TYPE_UNSPECIFIED(0),
+    /**
+     *
+     *
+     * <pre>
+     * Use the last measurement reported.
+     * </pre>
+     *
+     * <code>LAST_MEASUREMENT = 1;</code>
+     */
+    LAST_MEASUREMENT(1),
+    /**
+     *
+     *
+     * <pre>
+     * Use the best measurement reported.
+     * </pre>
+     *
+     * <code>BEST_MEASUREMENT = 2;</code>
+     */
+    BEST_MEASUREMENT(2),
+    UNRECOGNIZED(-1),
+    ;
+
+    /**
+     *
+     *
+     * <pre>
+     * Will be treated as LAST_MEASUREMENT.
+     * </pre>
+     *
+     * <code>MEASUREMENT_SELECTION_TYPE_UNSPECIFIED = 0;</code>
+     */
+    public static final int MEASUREMENT_SELECTION_TYPE_UNSPECIFIED_VALUE = 0;
+    /**
+     *
+     *
+     * <pre>
+     * Use the last measurement reported.
+     * </pre>
+     *
+     * <code>LAST_MEASUREMENT = 1;</code>
+     */
+    public static final int LAST_MEASUREMENT_VALUE = 1;
+    /**
+     *
+     *
+     * <pre>
+     * Use the best measurement reported.
+     * </pre>
+     *
+     * <code>BEST_MEASUREMENT = 2;</code>
+     */
+    public static final int BEST_MEASUREMENT_VALUE = 2;
+
+    public final int getNumber() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalArgumentException(
+            "Can't get the number of an unknown enum value.");
+      }
+      return value;
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     * @deprecated Use {@link #forNumber(int)} instead.
+     */
+    @java.lang.Deprecated
+    public static MeasurementSelectionType valueOf(int value) {
+      return forNumber(value);
+    }
+
+    /**
+     * @param value The numeric wire value of the corresponding enum entry.
+     * @return The enum associated with the given numeric wire value.
+     */
+    public static MeasurementSelectionType forNumber(int value) {
+      switch (value) {
+        case 0:
+          return MEASUREMENT_SELECTION_TYPE_UNSPECIFIED;
+        case 1:
+          return LAST_MEASUREMENT;
+        case 2:
+          return BEST_MEASUREMENT;
+        default:
+          return null;
+      }
+    }
+
+    public static com.google.protobuf.Internal.EnumLiteMap<MeasurementSelectionType>
+        internalGetValueMap() {
+      return internalValueMap;
+    }
+
+    private static final com.google.protobuf.Internal.EnumLiteMap<MeasurementSelectionType>
+        internalValueMap =
+            new com.google.protobuf.Internal.EnumLiteMap<MeasurementSelectionType>() {
+              public MeasurementSelectionType findValueByNumber(int number) {
+                return MeasurementSelectionType.forNumber(number);
+              }
+            };
+
+    public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
+      if (this == UNRECOGNIZED) {
+        throw new java.lang.IllegalStateException(
+            "Can't get the descriptor of an unrecognized enum value.");
+      }
+      return getDescriptor().getValues().get(ordinal());
+    }
+
+    public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
+      return getDescriptor();
+    }
+
+    public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
+      return com.google.cloud.aiplatform.v1beta1.StudySpec.getDescriptor().getEnumTypes().get(2);
+    }
+
+    private static final MeasurementSelectionType[] VALUES = values();
+
+    public static MeasurementSelectionType valueOf(
+        com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
+      if (desc.getType() != getDescriptor()) {
+        throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
+      }
+      if (desc.getIndex() == -1) {
+        return UNRECOGNIZED;
+      }
+      return VALUES[desc.getIndex()];
+    }
+
+    private final int value;
+
+    private MeasurementSelectionType(int value) {
+      this.value = value;
+    }
+
+    // @@protoc_insertion_point(enum_scope:google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType)
+  }
+
   public interface MetricSpecOrBuilder
       extends
       // @@protoc_insertion_point(interface_extends:google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec)
@@ -12979,6 +13334,92 @@ public com.google.cloud.aiplatform.v1beta1.StudySpec.Algorithm getAlgorithm() {
         : result;
   }
 
+  public static final int OBSERVATION_NOISE_FIELD_NUMBER = 6;
+  private int observationNoise_;
+  /**
+   *
+   *
+   * <pre>
+   * The observation noise level of the study.
+   * Currently only supported by the Vizier service. Not supported by
+   * HyperparamterTuningJob or TrainingPipeline.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;</code>
+   *
+   * @return The enum numeric value on the wire for observationNoise.
+   */
+  @java.lang.Override
+  public int getObservationNoiseValue() {
+    return observationNoise_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * The observation noise level of the study.
+   * Currently only supported by the Vizier service. Not supported by
+   * HyperparamterTuningJob or TrainingPipeline.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;</code>
+   *
+   * @return The observationNoise.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise getObservationNoise() {
+    @SuppressWarnings("deprecation")
+    com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise result =
+        com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise.valueOf(observationNoise_);
+    return result == null
+        ? com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise.UNRECOGNIZED
+        : result;
+  }
+
+  public static final int MEASUREMENT_SELECTION_TYPE_FIELD_NUMBER = 7;
+  private int measurementSelectionType_;
+  /**
+   *
+   *
+   * <pre>
+   * Describe which measurement selection type will be used
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
+   * </code>
+   *
+   * @return The enum numeric value on the wire for measurementSelectionType.
+   */
+  @java.lang.Override
+  public int getMeasurementSelectionTypeValue() {
+    return measurementSelectionType_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Describe which measurement selection type will be used
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
+   * </code>
+   *
+   * @return The measurementSelectionType.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType
+      getMeasurementSelectionType() {
+    @SuppressWarnings("deprecation")
+    com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType result =
+        com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType.valueOf(
+            measurementSelectionType_);
+    return result == null
+        ? com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType.UNRECOGNIZED
+        : result;
+  }
+
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -13004,6 +13445,18 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
             .getNumber()) {
       output.writeEnum(3, algorithm_);
     }
+    if (observationNoise_
+        != com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise
+            .OBSERVATION_NOISE_UNSPECIFIED
+            .getNumber()) {
+      output.writeEnum(6, observationNoise_);
+    }
+    if (measurementSelectionType_
+        != com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType
+            .MEASUREMENT_SELECTION_TYPE_UNSPECIFIED
+            .getNumber()) {
+      output.writeEnum(7, measurementSelectionType_);
+    }
     unknownFields.writeTo(output);
   }
 
@@ -13024,6 +13477,18 @@ public int getSerializedSize() {
             .getNumber()) {
       size += com.google.protobuf.CodedOutputStream.computeEnumSize(3, algorithm_);
     }
+    if (observationNoise_
+        != com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise
+            .OBSERVATION_NOISE_UNSPECIFIED
+            .getNumber()) {
+      size += com.google.protobuf.CodedOutputStream.computeEnumSize(6, observationNoise_);
+    }
+    if (measurementSelectionType_
+        != com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType
+            .MEASUREMENT_SELECTION_TYPE_UNSPECIFIED
+            .getNumber()) {
+      size += com.google.protobuf.CodedOutputStream.computeEnumSize(7, measurementSelectionType_);
+    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -13043,6 +13508,8 @@ public boolean equals(final java.lang.Object obj) {
     if (!getMetricsList().equals(other.getMetricsList())) return false;
     if (!getParametersList().equals(other.getParametersList())) return false;
     if (algorithm_ != other.algorithm_) return false;
+    if (observationNoise_ != other.observationNoise_) return false;
+    if (measurementSelectionType_ != other.measurementSelectionType_) return false;
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -13064,6 +13531,10 @@ public int hashCode() {
     }
     hash = (37 * hash) + ALGORITHM_FIELD_NUMBER;
     hash = (53 * hash) + algorithm_;
+    hash = (37 * hash) + OBSERVATION_NOISE_FIELD_NUMBER;
+    hash = (53 * hash) + observationNoise_;
+    hash = (37 * hash) + MEASUREMENT_SELECTION_TYPE_FIELD_NUMBER;
+    hash = (53 * hash) + measurementSelectionType_;
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -13226,6 +13697,10 @@ public Builder clear() {
       }
       algorithm_ = 0;
 
+      observationNoise_ = 0;
+
+      measurementSelectionType_ = 0;
+
       return this;
     }
 
@@ -13273,6 +13748,8 @@ public com.google.cloud.aiplatform.v1beta1.StudySpec buildPartial() {
         result.parameters_ = parametersBuilder_.build();
       }
       result.algorithm_ = algorithm_;
+      result.observationNoise_ = observationNoise_;
+      result.measurementSelectionType_ = measurementSelectionType_;
       onBuilt();
       return result;
     }
@@ -13379,6 +13856,12 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.StudySpec other) {
       if (other.algorithm_ != 0) {
         setAlgorithmValue(other.getAlgorithmValue());
       }
+      if (other.observationNoise_ != 0) {
+        setObservationNoiseValue(other.getObservationNoiseValue());
+      }
+      if (other.measurementSelectionType_ != 0) {
+        setMeasurementSelectionTypeValue(other.getMeasurementSelectionTypeValue());
+      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -14306,6 +14789,221 @@ public Builder clearAlgorithm() {
       return this;
     }
 
+    private int observationNoise_ = 0;
+    /**
+     *
+     *
+     * <pre>
+     * The observation noise level of the study.
+     * Currently only supported by the Vizier service. Not supported by
+     * HyperparamterTuningJob or TrainingPipeline.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;
+     * </code>
+     *
+     * @return The enum numeric value on the wire for observationNoise.
+     */
+    @java.lang.Override
+    public int getObservationNoiseValue() {
+      return observationNoise_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The observation noise level of the study.
+     * Currently only supported by the Vizier service. Not supported by
+     * HyperparamterTuningJob or TrainingPipeline.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;
+     * </code>
+     *
+     * @param value The enum numeric value on the wire for observationNoise to set.
+     * @return This builder for chaining.
+     */
+    public Builder setObservationNoiseValue(int value) {
+
+      observationNoise_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The observation noise level of the study.
+     * Currently only supported by the Vizier service. Not supported by
+     * HyperparamterTuningJob or TrainingPipeline.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;
+     * </code>
+     *
+     * @return The observationNoise.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise getObservationNoise() {
+      @SuppressWarnings("deprecation")
+      com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise result =
+          com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise.valueOf(observationNoise_);
+      return result == null
+          ? com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise.UNRECOGNIZED
+          : result;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The observation noise level of the study.
+     * Currently only supported by the Vizier service. Not supported by
+     * HyperparamterTuningJob or TrainingPipeline.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;
+     * </code>
+     *
+     * @param value The observationNoise to set.
+     * @return This builder for chaining.
+     */
+    public Builder setObservationNoise(
+        com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      observationNoise_ = value.getNumber();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * The observation noise level of the study.
+     * Currently only supported by the Vizier service. Not supported by
+     * HyperparamterTuningJob or TrainingPipeline.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearObservationNoise() {
+
+      observationNoise_ = 0;
+      onChanged();
+      return this;
+    }
+
+    private int measurementSelectionType_ = 0;
+    /**
+     *
+     *
+     * <pre>
+     * Describe which measurement selection type will be used
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
+     * </code>
+     *
+     * @return The enum numeric value on the wire for measurementSelectionType.
+     */
+    @java.lang.Override
+    public int getMeasurementSelectionTypeValue() {
+      return measurementSelectionType_;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Describe which measurement selection type will be used
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
+     * </code>
+     *
+     * @param value The enum numeric value on the wire for measurementSelectionType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMeasurementSelectionTypeValue(int value) {
+
+      measurementSelectionType_ = value;
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Describe which measurement selection type will be used
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
+     * </code>
+     *
+     * @return The measurementSelectionType.
+     */
+    @java.lang.Override
+    public com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType
+        getMeasurementSelectionType() {
+      @SuppressWarnings("deprecation")
+      com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType result =
+          com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType.valueOf(
+              measurementSelectionType_);
+      return result == null
+          ? com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType.UNRECOGNIZED
+          : result;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Describe which measurement selection type will be used
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
+     * </code>
+     *
+     * @param value The measurementSelectionType to set.
+     * @return This builder for chaining.
+     */
+    public Builder setMeasurementSelectionType(
+        com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType value) {
+      if (value == null) {
+        throw new NullPointerException();
+      }
+
+      measurementSelectionType_ = value.getNumber();
+      onChanged();
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Describe which measurement selection type will be used
+     * </pre>
+     *
+     * <code>
+     * .google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
+     * </code>
+     *
+     * @return This builder for chaining.
+     */
+    public Builder clearMeasurementSelectionType() {
+
+      measurementSelectionType_ = 0;
+      onChanged();
+      return this;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpecOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpecOrBuilder.java
index 558724456..fcbd0fde9 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpecOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/StudySpecOrBuilder.java
@@ -172,4 +172,63 @@ com.google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpecOrBuilder getParamete
    * @return The algorithm.
    */
   com.google.cloud.aiplatform.v1beta1.StudySpec.Algorithm getAlgorithm();
+
+  /**
+   *
+   *
+   * <pre>
+   * The observation noise level of the study.
+   * Currently only supported by the Vizier service. Not supported by
+   * HyperparamterTuningJob or TrainingPipeline.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;</code>
+   *
+   * @return The enum numeric value on the wire for observationNoise.
+   */
+  int getObservationNoiseValue();
+  /**
+   *
+   *
+   * <pre>
+   * The observation noise level of the study.
+   * Currently only supported by the Vizier service. Not supported by
+   * HyperparamterTuningJob or TrainingPipeline.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;</code>
+   *
+   * @return The observationNoise.
+   */
+  com.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise getObservationNoise();
+
+  /**
+   *
+   *
+   * <pre>
+   * Describe which measurement selection type will be used
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
+   * </code>
+   *
+   * @return The enum numeric value on the wire for measurementSelectionType.
+   */
+  int getMeasurementSelectionTypeValue();
+  /**
+   *
+   *
+   * <pre>
+   * Describe which measurement selection type will be used
+   * </pre>
+   *
+   * <code>
+   * .google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;
+   * </code>
+   *
+   * @return The measurementSelectionType.
+   */
+  com.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType
+      getMeasurementSelectionType();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipeline.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipeline.java
index 353aa7d57..03f4b1206 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipeline.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipeline.java
@@ -254,6 +254,23 @@ private TrainingPipeline(
                   input.readMessage(
                       LabelsDefaultEntryHolder.defaultEntry.getParserForType(), extensionRegistry);
               labels_.getMutableMap().put(labels__.getKey(), labels__.getValue());
+              break;
+            }
+          case 146:
+            {
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder subBuilder = null;
+              if (encryptionSpec_ != null) {
+                subBuilder = encryptionSpec_.toBuilder();
+              }
+              encryptionSpec_ =
+                  input.readMessage(
+                      com.google.cloud.aiplatform.v1beta1.EncryptionSpec.parser(),
+                      extensionRegistry);
+              if (subBuilder != null) {
+                subBuilder.mergeFrom(encryptionSpec_);
+                encryptionSpec_ = subBuilder.buildPartial();
+              }
+
               break;
             }
           default:
@@ -655,7 +672,7 @@ public com.google.protobuf.ValueOrBuilder getTrainingTaskMetadataOrBuilder() {
    *
    *
    * <pre>
-   * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
    * by this TrainingPipeline. The TrainingPipeline's
    * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
    * description should be populated, and if there are any special requirements
@@ -683,7 +700,7 @@ public boolean hasModelToUpload() {
    *
    *
    * <pre>
-   * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
    * by this TrainingPipeline. The TrainingPipeline's
    * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
    * description should be populated, and if there are any special requirements
@@ -713,7 +730,7 @@ public com.google.cloud.aiplatform.v1beta1.Model getModelToUpload() {
    *
    *
    * <pre>
-   * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
    * by this TrainingPipeline. The TrainingPipeline's
    * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
    * description should be populated, and if there are any special requirements
@@ -1144,6 +1161,63 @@ public java.lang.String getLabelsOrThrow(java.lang.String key) {
     return map.get(key);
   }
 
+  public static final int ENCRYPTION_SPEC_FIELD_NUMBER = 18;
+  private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+   * TrainingPipeline will be secured by this key.
+   * Note: Model trained by this TrainingPipeline is also secured by this key if
+   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  @java.lang.Override
+  public boolean hasEncryptionSpec() {
+    return encryptionSpec_ != null;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+   * TrainingPipeline will be secured by this key.
+   * Note: Model trained by this TrainingPipeline is also secured by this key if
+   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+    return encryptionSpec_ == null
+        ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+        : encryptionSpec_;
+  }
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+   * TrainingPipeline will be secured by this key.
+   * Note: Model trained by this TrainingPipeline is also secured by this key if
+   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+   */
+  @java.lang.Override
+  public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder() {
+    return getEncryptionSpec();
+  }
+
   private byte memoizedIsInitialized = -1;
 
   @java.lang.Override
@@ -1201,6 +1275,9 @@ public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io
     }
     com.google.protobuf.GeneratedMessageV3.serializeStringMapTo(
         output, internalGetLabels(), LabelsDefaultEntryHolder.defaultEntry, 15);
+    if (encryptionSpec_ != null) {
+      output.writeMessage(18, getEncryptionSpec());
+    }
     unknownFields.writeTo(output);
   }
 
@@ -1262,6 +1339,9 @@ public int getSerializedSize() {
               .build();
       size += com.google.protobuf.CodedOutputStream.computeMessageSize(15, labels__);
     }
+    if (encryptionSpec_ != null) {
+      size += com.google.protobuf.CodedOutputStream.computeMessageSize(18, getEncryptionSpec());
+    }
     size += unknownFields.getSerializedSize();
     memoizedSize = size;
     return size;
@@ -1319,6 +1399,10 @@ public boolean equals(final java.lang.Object obj) {
       if (!getUpdateTime().equals(other.getUpdateTime())) return false;
     }
     if (!internalGetLabels().equals(other.internalGetLabels())) return false;
+    if (hasEncryptionSpec() != other.hasEncryptionSpec()) return false;
+    if (hasEncryptionSpec()) {
+      if (!getEncryptionSpec().equals(other.getEncryptionSpec())) return false;
+    }
     if (!unknownFields.equals(other.unknownFields)) return false;
     return true;
   }
@@ -1378,6 +1462,10 @@ public int hashCode() {
       hash = (37 * hash) + LABELS_FIELD_NUMBER;
       hash = (53 * hash) + internalGetLabels().hashCode();
     }
+    if (hasEncryptionSpec()) {
+      hash = (37 * hash) + ENCRYPTION_SPEC_FIELD_NUMBER;
+      hash = (53 * hash) + getEncryptionSpec().hashCode();
+    }
     hash = (29 * hash) + unknownFields.hashCode();
     memoizedHashCode = hash;
     return hash;
@@ -1610,6 +1698,12 @@ public Builder clear() {
         updateTimeBuilder_ = null;
       }
       internalGetMutableLabels().clear();
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
       return this;
     }
 
@@ -1689,6 +1783,11 @@ public com.google.cloud.aiplatform.v1beta1.TrainingPipeline buildPartial() {
       }
       result.labels_ = internalGetLabels();
       result.labels_.makeImmutable();
+      if (encryptionSpecBuilder_ == null) {
+        result.encryptionSpec_ = encryptionSpec_;
+      } else {
+        result.encryptionSpec_ = encryptionSpecBuilder_.build();
+      }
       onBuilt();
       return result;
     }
@@ -1782,6 +1881,9 @@ public Builder mergeFrom(com.google.cloud.aiplatform.v1beta1.TrainingPipeline ot
         mergeUpdateTime(other.getUpdateTime());
       }
       internalGetMutableLabels().mergeFrom(other.internalGetLabels());
+      if (other.hasEncryptionSpec()) {
+        mergeEncryptionSpec(other.getEncryptionSpec());
+      }
       this.mergeUnknownFields(other.unknownFields);
       onChanged();
       return this;
@@ -2860,7 +2962,7 @@ public com.google.protobuf.ValueOrBuilder getTrainingTaskMetadataOrBuilder() {
      *
      *
      * <pre>
-     * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
      * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
      * description should be populated, and if there are any special requirements
@@ -2887,7 +2989,7 @@ public boolean hasModelToUpload() {
      *
      *
      * <pre>
-     * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
      * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
      * description should be populated, and if there are any special requirements
@@ -2920,7 +3022,7 @@ public com.google.cloud.aiplatform.v1beta1.Model getModelToUpload() {
      *
      *
      * <pre>
-     * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
      * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
      * description should be populated, and if there are any special requirements
@@ -2955,7 +3057,7 @@ public Builder setModelToUpload(com.google.cloud.aiplatform.v1beta1.Model value)
      *
      *
      * <pre>
-     * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
      * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
      * description should be populated, and if there are any special requirements
@@ -2988,7 +3090,7 @@ public Builder setModelToUpload(
      *
      *
      * <pre>
-     * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
      * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
      * description should be populated, and if there are any special requirements
@@ -3027,7 +3129,7 @@ public Builder mergeModelToUpload(com.google.cloud.aiplatform.v1beta1.Model valu
      *
      *
      * <pre>
-     * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
      * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
      * description should be populated, and if there are any special requirements
@@ -3060,7 +3162,7 @@ public Builder clearModelToUpload() {
      *
      *
      * <pre>
-     * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
      * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
      * description should be populated, and if there are any special requirements
@@ -3087,7 +3189,7 @@ public com.google.cloud.aiplatform.v1beta1.Model.Builder getModelToUploadBuilder
      *
      *
      * <pre>
-     * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
      * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
      * description should be populated, and if there are any special requirements
@@ -3118,7 +3220,7 @@ public com.google.cloud.aiplatform.v1beta1.ModelOrBuilder getModelToUploadOrBuil
      *
      *
      * <pre>
-     * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+     * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
      * by this TrainingPipeline. The TrainingPipeline's
      * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
      * description should be populated, and if there are any special requirements
@@ -4437,6 +4539,220 @@ public Builder putAllLabels(java.util.Map<java.lang.String, java.lang.String> va
       return this;
     }
 
+    private com.google.cloud.aiplatform.v1beta1.EncryptionSpec encryptionSpec_;
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        encryptionSpecBuilder_;
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+     * TrainingPipeline will be secured by this key.
+     * Note: Model trained by this TrainingPipeline is also secured by this key if
+     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+     *
+     * @return Whether the encryptionSpec field is set.
+     */
+    public boolean hasEncryptionSpec() {
+      return encryptionSpecBuilder_ != null || encryptionSpec_ != null;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+     * TrainingPipeline will be secured by this key.
+     * Note: Model trained by this TrainingPipeline is also secured by this key if
+     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+     *
+     * @return The encryptionSpec.
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      } else {
+        return encryptionSpecBuilder_.getMessage();
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+     * TrainingPipeline will be secured by this key.
+     * Note: Model trained by this TrainingPipeline is also secured by this key if
+     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+     */
+    public Builder setEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (value == null) {
+          throw new NullPointerException();
+        }
+        encryptionSpec_ = value;
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+     * TrainingPipeline will be secured by this key.
+     * Note: Model trained by this TrainingPipeline is also secured by this key if
+     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+     */
+    public Builder setEncryptionSpec(
+        com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder builderForValue) {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = builderForValue.build();
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.setMessage(builderForValue.build());
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+     * TrainingPipeline will be secured by this key.
+     * Note: Model trained by this TrainingPipeline is also secured by this key if
+     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+     */
+    public Builder mergeEncryptionSpec(com.google.cloud.aiplatform.v1beta1.EncryptionSpec value) {
+      if (encryptionSpecBuilder_ == null) {
+        if (encryptionSpec_ != null) {
+          encryptionSpec_ =
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpec.newBuilder(encryptionSpec_)
+                  .mergeFrom(value)
+                  .buildPartial();
+        } else {
+          encryptionSpec_ = value;
+        }
+        onChanged();
+      } else {
+        encryptionSpecBuilder_.mergeFrom(value);
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+     * TrainingPipeline will be secured by this key.
+     * Note: Model trained by this TrainingPipeline is also secured by this key if
+     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+     */
+    public Builder clearEncryptionSpec() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpec_ = null;
+        onChanged();
+      } else {
+        encryptionSpec_ = null;
+        encryptionSpecBuilder_ = null;
+      }
+
+      return this;
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+     * TrainingPipeline will be secured by this key.
+     * Note: Model trained by this TrainingPipeline is also secured by this key if
+     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder getEncryptionSpecBuilder() {
+
+      onChanged();
+      return getEncryptionSpecFieldBuilder().getBuilder();
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+     * TrainingPipeline will be secured by this key.
+     * Note: Model trained by this TrainingPipeline is also secured by this key if
+     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+     */
+    public com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder
+        getEncryptionSpecOrBuilder() {
+      if (encryptionSpecBuilder_ != null) {
+        return encryptionSpecBuilder_.getMessageOrBuilder();
+      } else {
+        return encryptionSpec_ == null
+            ? com.google.cloud.aiplatform.v1beta1.EncryptionSpec.getDefaultInstance()
+            : encryptionSpec_;
+      }
+    }
+    /**
+     *
+     *
+     * <pre>
+     * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+     * TrainingPipeline will be secured by this key.
+     * Note: Model trained by this TrainingPipeline is also secured by this key if
+     * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+     * </pre>
+     *
+     * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+     */
+    private com.google.protobuf.SingleFieldBuilderV3<
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+            com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>
+        getEncryptionSpecFieldBuilder() {
+      if (encryptionSpecBuilder_ == null) {
+        encryptionSpecBuilder_ =
+            new com.google.protobuf.SingleFieldBuilderV3<
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpec.Builder,
+                com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder>(
+                getEncryptionSpec(), getParentForChildren(), isClean());
+        encryptionSpec_ = null;
+      }
+      return encryptionSpecBuilder_;
+    }
+
     @java.lang.Override
     public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
       return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineOrBuilder.java
index 671252855..925dbdf68 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineOrBuilder.java
@@ -263,7 +263,7 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * <pre>
-   * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
    * by this TrainingPipeline. The TrainingPipeline's
    * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
    * description should be populated, and if there are any special requirements
@@ -288,7 +288,7 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * <pre>
-   * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
    * by this TrainingPipeline. The TrainingPipeline's
    * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
    * description should be populated, and if there are any special requirements
@@ -313,7 +313,7 @@ public interface TrainingPipelineOrBuilder
    *
    *
    * <pre>
-   * Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+   * Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
    * by this TrainingPipeline. The TrainingPipeline's
    * [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
    * description should be populated, and if there are any special requirements
@@ -634,4 +634,48 @@ public interface TrainingPipelineOrBuilder
    * <code>map&lt;string, string&gt; labels = 15;</code>
    */
   java.lang.String getLabelsOrThrow(java.lang.String key);
+
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+   * TrainingPipeline will be secured by this key.
+   * Note: Model trained by this TrainingPipeline is also secured by this key if
+   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+   *
+   * @return Whether the encryptionSpec field is set.
+   */
+  boolean hasEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+   * TrainingPipeline will be secured by this key.
+   * Note: Model trained by this TrainingPipeline is also secured by this key if
+   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+   *
+   * @return The encryptionSpec.
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpec getEncryptionSpec();
+  /**
+   *
+   *
+   * <pre>
+   * Customer-managed encryption key spec for a TrainingPipeline. If set, this
+   * TrainingPipeline will be secured by this key.
+   * Note: Model trained by this TrainingPipeline is also secured by this key if
+   * [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+   * </pre>
+   *
+   * <code>.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;</code>
+   */
+  com.google.cloud.aiplatform.v1beta1.EncryptionSpecOrBuilder getEncryptionSpecOrBuilder();
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineProto.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineProto.java
index d5a1dc5a8..bd427e389 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineProto.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineProto.java
@@ -67,68 +67,71 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
       "\n7google/cloud/aiplatform/v1beta1/traini"
           + "ng_pipeline.proto\022\037google.cloud.aiplatfo"
           + "rm.v1beta1\032\037google/api/field_behavior.pr"
-          + "oto\032\031google/api/resource.proto\032(google/c"
-          + "loud/aiplatform/v1beta1/io.proto\0327google"
-          + "/cloud/aiplatform/v1beta1/machine_resour"
-          + "ces.proto\032Dgoogle/cloud/aiplatform/v1bet"
-          + "a1/manual_batch_tuning_parameters.proto\032"
-          + "+google/cloud/aiplatform/v1beta1/model.p"
-          + "roto\0324google/cloud/aiplatform/v1beta1/pi"
-          + "peline_state.proto\032\034google/protobuf/stru"
-          + "ct.proto\032\037google/protobuf/timestamp.prot"
-          + "o\032\027google/rpc/status.proto\032\034google/api/a"
-          + "nnotations.proto\"\253\007\n\020TrainingPipeline\022\021\n"
-          + "\004name\030\001 \001(\tB\003\340A\003\022\031\n\014display_name\030\002 \001(\tB\003"
-          + "\340A\002\022K\n\021input_data_config\030\003 \001(\01320.google."
-          + "cloud.aiplatform.v1beta1.InputDataConfig"
-          + "\022%\n\030training_task_definition\030\004 \001(\tB\003\340A\002\022"
-          + "9\n\024training_task_inputs\030\005 \001(\0132\026.google.p"
-          + "rotobuf.ValueB\003\340A\002\022;\n\026training_task_meta"
-          + "data\030\006 \001(\0132\026.google.protobuf.ValueB\003\340A\003\022"
-          + "?\n\017model_to_upload\030\007 \001(\0132&.google.cloud."
-          + "aiplatform.v1beta1.Model\022B\n\005state\030\t \001(\0162"
-          + "..google.cloud.aiplatform.v1beta1.Pipeli"
-          + "neStateB\003\340A\003\022&\n\005error\030\n \001(\0132\022.google.rpc"
-          + ".StatusB\003\340A\003\0224\n\013create_time\030\013 \001(\0132\032.goog"
-          + "le.protobuf.TimestampB\003\340A\003\0223\n\nstart_time"
-          + "\030\014 \001(\0132\032.google.protobuf.TimestampB\003\340A\003\022"
-          + "1\n\010end_time\030\r \001(\0132\032.google.protobuf.Time"
-          + "stampB\003\340A\003\0224\n\013update_time\030\016 \001(\0132\032.google"
-          + ".protobuf.TimestampB\003\340A\003\022M\n\006labels\030\017 \003(\013"
-          + "2=.google.cloud.aiplatform.v1beta1.Train"
-          + "ingPipeline.LabelsEntry\032-\n\013LabelsEntry\022\013"
-          + "\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001:~\352A{\n*aip"
-          + "latform.googleapis.com/TrainingPipeline\022"
-          + "Mprojects/{project}/locations/{location}"
-          + "/trainingPipelines/{training_pipeline}\"\311"
-          + "\004\n\017InputDataConfig\022H\n\016fraction_split\030\002 \001"
-          + "(\0132..google.cloud.aiplatform.v1beta1.Fra"
-          + "ctionSplitH\000\022D\n\014filter_split\030\003 \001(\0132,.goo"
-          + "gle.cloud.aiplatform.v1beta1.FilterSplit"
-          + "H\000\022L\n\020predefined_split\030\004 \001(\01320.google.cl"
-          + "oud.aiplatform.v1beta1.PredefinedSplitH\000"
-          + "\022J\n\017timestamp_split\030\005 \001(\0132/.google.cloud"
-          + ".aiplatform.v1beta1.TimestampSplitH\000\022J\n\017"
-          + "gcs_destination\030\010 \001(\0132/.google.cloud.aip"
-          + "latform.v1beta1.GcsDestinationH\001\022T\n\024bigq"
-          + "uery_destination\030\n \001(\01324.google.cloud.ai"
-          + "platform.v1beta1.BigQueryDestinationH\001\022\027"
-          + "\n\ndataset_id\030\001 \001(\tB\003\340A\002\022\032\n\022annotations_f"
-          + "ilter\030\006 \001(\t\022\035\n\025annotation_schema_uri\030\t \001"
-          + "(\tB\007\n\005splitB\r\n\013destination\"^\n\rFractionSp"
-          + "lit\022\031\n\021training_fraction\030\001 \001(\001\022\033\n\023valida"
-          + "tion_fraction\030\002 \001(\001\022\025\n\rtest_fraction\030\003 \001"
-          + "(\001\"e\n\013FilterSplit\022\034\n\017training_filter\030\001 \001"
-          + "(\tB\003\340A\002\022\036\n\021validation_filter\030\002 \001(\tB\003\340A\002\022"
-          + "\030\n\013test_filter\030\003 \001(\tB\003\340A\002\"#\n\017PredefinedS"
-          + "plit\022\020\n\003key\030\001 \001(\tB\003\340A\002\"q\n\016TimestampSplit"
-          + "\022\031\n\021training_fraction\030\001 \001(\001\022\033\n\023validatio"
-          + "n_fraction\030\002 \001(\001\022\025\n\rtest_fraction\030\003 \001(\001\022"
-          + "\020\n\003key\030\004 \001(\tB\003\340A\002B\211\001\n#com.google.cloud.a"
-          + "iplatform.v1beta1B\025TrainingPipelineProto"
-          + "P\001ZIgoogle.golang.org/genproto/googleapi"
-          + "s/cloud/aiplatform/v1beta1;aiplatformb\006p"
-          + "roto3"
+          + "oto\032\031google/api/resource.proto\0325google/c"
+          + "loud/aiplatform/v1beta1/encryption_spec."
+          + "proto\032(google/cloud/aiplatform/v1beta1/i"
+          + "o.proto\0327google/cloud/aiplatform/v1beta1"
+          + "/machine_resources.proto\032Dgoogle/cloud/a"
+          + "iplatform/v1beta1/manual_batch_tuning_pa"
+          + "rameters.proto\032+google/cloud/aiplatform/"
+          + "v1beta1/model.proto\0324google/cloud/aiplat"
+          + "form/v1beta1/pipeline_state.proto\032\034googl"
+          + "e/protobuf/struct.proto\032\037google/protobuf"
+          + "/timestamp.proto\032\027google/rpc/status.prot"
+          + "o\032\034google/api/annotations.proto\"\365\007\n\020Trai"
+          + "ningPipeline\022\021\n\004name\030\001 \001(\tB\003\340A\003\022\031\n\014displ"
+          + "ay_name\030\002 \001(\tB\003\340A\002\022K\n\021input_data_config\030"
+          + "\003 \001(\01320.google.cloud.aiplatform.v1beta1."
+          + "InputDataConfig\022%\n\030training_task_definit"
+          + "ion\030\004 \001(\tB\003\340A\002\0229\n\024training_task_inputs\030\005"
+          + " \001(\0132\026.google.protobuf.ValueB\003\340A\002\022;\n\026tra"
+          + "ining_task_metadata\030\006 \001(\0132\026.google.proto"
+          + "buf.ValueB\003\340A\003\022?\n\017model_to_upload\030\007 \001(\0132"
+          + "&.google.cloud.aiplatform.v1beta1.Model\022"
+          + "B\n\005state\030\t \001(\0162..google.cloud.aiplatform"
+          + ".v1beta1.PipelineStateB\003\340A\003\022&\n\005error\030\n \001"
+          + "(\0132\022.google.rpc.StatusB\003\340A\003\0224\n\013create_ti"
+          + "me\030\013 \001(\0132\032.google.protobuf.TimestampB\003\340A"
+          + "\003\0223\n\nstart_time\030\014 \001(\0132\032.google.protobuf."
+          + "TimestampB\003\340A\003\0221\n\010end_time\030\r \001(\0132\032.googl"
+          + "e.protobuf.TimestampB\003\340A\003\0224\n\013update_time"
+          + "\030\016 \001(\0132\032.google.protobuf.TimestampB\003\340A\003\022"
+          + "M\n\006labels\030\017 \003(\0132=.google.cloud.aiplatfor"
+          + "m.v1beta1.TrainingPipeline.LabelsEntry\022H"
+          + "\n\017encryption_spec\030\022 \001(\0132/.google.cloud.a"
+          + "iplatform.v1beta1.EncryptionSpec\032-\n\013Labe"
+          + "lsEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001:"
+          + "~\352A{\n*aiplatform.googleapis.com/Training"
+          + "Pipeline\022Mprojects/{project}/locations/{"
+          + "location}/trainingPipelines/{training_pi"
+          + "peline}\"\311\004\n\017InputDataConfig\022H\n\016fraction_"
+          + "split\030\002 \001(\0132..google.cloud.aiplatform.v1"
+          + "beta1.FractionSplitH\000\022D\n\014filter_split\030\003 "
+          + "\001(\0132,.google.cloud.aiplatform.v1beta1.Fi"
+          + "lterSplitH\000\022L\n\020predefined_split\030\004 \001(\01320."
+          + "google.cloud.aiplatform.v1beta1.Predefin"
+          + "edSplitH\000\022J\n\017timestamp_split\030\005 \001(\0132/.goo"
+          + "gle.cloud.aiplatform.v1beta1.TimestampSp"
+          + "litH\000\022J\n\017gcs_destination\030\010 \001(\0132/.google."
+          + "cloud.aiplatform.v1beta1.GcsDestinationH"
+          + "\001\022T\n\024bigquery_destination\030\n \001(\01324.google"
+          + ".cloud.aiplatform.v1beta1.BigQueryDestin"
+          + "ationH\001\022\027\n\ndataset_id\030\001 \001(\tB\003\340A\002\022\032\n\022anno"
+          + "tations_filter\030\006 \001(\t\022\035\n\025annotation_schem"
+          + "a_uri\030\t \001(\tB\007\n\005splitB\r\n\013destination\"^\n\rF"
+          + "ractionSplit\022\031\n\021training_fraction\030\001 \001(\001\022"
+          + "\033\n\023validation_fraction\030\002 \001(\001\022\025\n\rtest_fra"
+          + "ction\030\003 \001(\001\"e\n\013FilterSplit\022\034\n\017training_f"
+          + "ilter\030\001 \001(\tB\003\340A\002\022\036\n\021validation_filter\030\002 "
+          + "\001(\tB\003\340A\002\022\030\n\013test_filter\030\003 \001(\tB\003\340A\002\"#\n\017Pr"
+          + "edefinedSplit\022\020\n\003key\030\001 \001(\tB\003\340A\002\"q\n\016Times"
+          + "tampSplit\022\031\n\021training_fraction\030\001 \001(\001\022\033\n\023"
+          + "validation_fraction\030\002 \001(\001\022\025\n\rtest_fracti"
+          + "on\030\003 \001(\001\022\020\n\003key\030\004 \001(\tB\003\340A\002B\211\001\n#com.googl"
+          + "e.cloud.aiplatform.v1beta1B\025TrainingPipe"
+          + "lineProtoP\001ZIgoogle.golang.org/genproto/"
+          + "googleapis/cloud/aiplatform/v1beta1;aipl"
+          + "atformb\006proto3"
     };
     descriptor =
         com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -136,6 +139,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
             new com.google.protobuf.Descriptors.FileDescriptor[] {
               com.google.api.FieldBehaviorProto.getDescriptor(),
               com.google.api.ResourceProto.getDescriptor(),
+              com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.IoProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.MachineResourcesProto.getDescriptor(),
               com.google.cloud.aiplatform.v1beta1.ManualBatchTuningParametersProto.getDescriptor(),
@@ -166,6 +170,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
               "EndTime",
               "UpdateTime",
               "Labels",
+              "EncryptionSpec",
             });
     internal_static_google_cloud_aiplatform_v1beta1_TrainingPipeline_LabelsEntry_descriptor =
         internal_static_google_cloud_aiplatform_v1beta1_TrainingPipeline_descriptor
@@ -235,6 +240,7 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
         descriptor, registry);
     com.google.api.FieldBehaviorProto.getDescriptor();
     com.google.api.ResourceProto.getDescriptor();
+    com.google.cloud.aiplatform.v1beta1.EncryptionSpecProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.IoProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.MachineResourcesProto.getDescriptor();
     com.google.cloud.aiplatform.v1beta1.ManualBatchTuningParametersProto.getDescriptor();
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrialName.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrialName.java
new file mode 100644
index 000000000..9697fffbb
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrialName.java
@@ -0,0 +1,257 @@
+/*
+ * Copyright 2020 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.cloud.aiplatform.v1beta1;
+
+import com.google.api.pathtemplate.PathTemplate;
+import com.google.api.resourcenames.ResourceName;
+import com.google.common.base.Preconditions;
+import com.google.common.collect.ImmutableMap;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+import java.util.Objects;
+import javax.annotation.Generated;
+
+// AUTO-GENERATED DOCUMENTATION AND CLASS.
+@Generated("by gapic-generator-java")
+public class TrialName implements ResourceName {
+  private static final PathTemplate PROJECT_LOCATION_STUDY_TRIAL =
+      PathTemplate.createWithoutUrlEncoding(
+          "projects/{project}/locations/{location}/studies/{study}/trials/{trial}");
+  private volatile Map<String, String> fieldValuesMap;
+  private final String project;
+  private final String location;
+  private final String study;
+  private final String trial;
+
+  @Deprecated
+  protected TrialName() {
+    project = null;
+    location = null;
+    study = null;
+    trial = null;
+  }
+
+  private TrialName(Builder builder) {
+    project = Preconditions.checkNotNull(builder.getProject());
+    location = Preconditions.checkNotNull(builder.getLocation());
+    study = Preconditions.checkNotNull(builder.getStudy());
+    trial = Preconditions.checkNotNull(builder.getTrial());
+  }
+
+  public String getProject() {
+    return project;
+  }
+
+  public String getLocation() {
+    return location;
+  }
+
+  public String getStudy() {
+    return study;
+  }
+
+  public String getTrial() {
+    return trial;
+  }
+
+  public static Builder newBuilder() {
+    return new Builder();
+  }
+
+  public Builder toBuilder() {
+    return new Builder(this);
+  }
+
+  public static TrialName of(String project, String location, String study, String trial) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setStudy(study)
+        .setTrial(trial)
+        .build();
+  }
+
+  public static String format(String project, String location, String study, String trial) {
+    return newBuilder()
+        .setProject(project)
+        .setLocation(location)
+        .setStudy(study)
+        .setTrial(trial)
+        .build()
+        .toString();
+  }
+
+  public static TrialName parse(String formattedString) {
+    if (formattedString.isEmpty()) {
+      return null;
+    }
+    Map<String, String> matchMap =
+        PROJECT_LOCATION_STUDY_TRIAL.validatedMatch(
+            formattedString, "TrialName.parse: formattedString not in valid format");
+    return of(
+        matchMap.get("project"),
+        matchMap.get("location"),
+        matchMap.get("study"),
+        matchMap.get("trial"));
+  }
+
+  public static List<TrialName> parseList(List<String> formattedStrings) {
+    List<TrialName> list = new ArrayList<>(formattedStrings.size());
+    for (String formattedString : formattedStrings) {
+      list.add(parse(formattedString));
+    }
+    return list;
+  }
+
+  public static List<String> toStringList(List<TrialName> values) {
+    List<String> list = new ArrayList<>(values.size());
+    for (TrialName value : values) {
+      if (value == null) {
+        list.add("");
+      } else {
+        list.add(value.toString());
+      }
+    }
+    return list;
+  }
+
+  public static boolean isParsableFrom(String formattedString) {
+    return PROJECT_LOCATION_STUDY_TRIAL.matches(formattedString);
+  }
+
+  @Override
+  public Map<String, String> getFieldValuesMap() {
+    if (fieldValuesMap == null) {
+      synchronized (this) {
+        if (fieldValuesMap == null) {
+          ImmutableMap.Builder<String, String> fieldMapBuilder = ImmutableMap.builder();
+          if (project != null) {
+            fieldMapBuilder.put("project", project);
+          }
+          if (location != null) {
+            fieldMapBuilder.put("location", location);
+          }
+          if (study != null) {
+            fieldMapBuilder.put("study", study);
+          }
+          if (trial != null) {
+            fieldMapBuilder.put("trial", trial);
+          }
+          fieldValuesMap = fieldMapBuilder.build();
+        }
+      }
+    }
+    return fieldValuesMap;
+  }
+
+  public String getFieldValue(String fieldName) {
+    return getFieldValuesMap().get(fieldName);
+  }
+
+  @Override
+  public String toString() {
+    return PROJECT_LOCATION_STUDY_TRIAL.instantiate(
+        "project", project, "location", location, "study", study, "trial", trial);
+  }
+
+  @Override
+  public boolean equals(Object o) {
+    if (o == this) {
+      return true;
+    }
+    if (o != null || getClass() == o.getClass()) {
+      TrialName that = ((TrialName) o);
+      return Objects.equals(this.project, that.project)
+          && Objects.equals(this.location, that.location)
+          && Objects.equals(this.study, that.study)
+          && Objects.equals(this.trial, that.trial);
+    }
+    return false;
+  }
+
+  @Override
+  public int hashCode() {
+    int h = 1;
+    h *= 1000003;
+    h ^= Objects.hashCode(project);
+    h *= 1000003;
+    h ^= Objects.hashCode(location);
+    h *= 1000003;
+    h ^= Objects.hashCode(study);
+    h *= 1000003;
+    h ^= Objects.hashCode(trial);
+    return h;
+  }
+
+  /** Builder for projects/{project}/locations/{location}/studies/{study}/trials/{trial}. */
+  public static class Builder {
+    private String project;
+    private String location;
+    private String study;
+    private String trial;
+
+    protected Builder() {}
+
+    public String getProject() {
+      return project;
+    }
+
+    public String getLocation() {
+      return location;
+    }
+
+    public String getStudy() {
+      return study;
+    }
+
+    public String getTrial() {
+      return trial;
+    }
+
+    public Builder setProject(String project) {
+      this.project = project;
+      return this;
+    }
+
+    public Builder setLocation(String location) {
+      this.location = location;
+      return this;
+    }
+
+    public Builder setStudy(String study) {
+      this.study = study;
+      return this;
+    }
+
+    public Builder setTrial(String trial) {
+      this.trial = trial;
+      return this;
+    }
+
+    private Builder(TrialName trialName) {
+      project = trialName.project;
+      location = trialName.location;
+      study = trialName.study;
+      trial = trialName.trial;
+    }
+
+    public TrialName build() {
+      return new TrialName(this);
+    }
+  }
+}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequest.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequest.java
index 7327d82b5..823c09eb1 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequest.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequest.java
@@ -195,8 +195,7 @@ public com.google.cloud.aiplatform.v1beta1.DatasetOrBuilder getDatasetOrBuilder(
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https:
-   * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * Updatable fields:
    *   * `display_name`
    *   * `description`
@@ -218,8 +217,7 @@ public boolean hasUpdateMask() {
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https:
-   * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * Updatable fields:
    *   * `display_name`
    *   * `description`
@@ -241,8 +239,7 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https:
-   * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * Updatable fields:
    *   * `display_name`
    *   * `description`
@@ -831,8 +828,7 @@ public com.google.cloud.aiplatform.v1beta1.DatasetOrBuilder getDatasetOrBuilder(
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * Updatable fields:
      *   * `display_name`
      *   * `description`
@@ -853,8 +849,7 @@ public boolean hasUpdateMask() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * Updatable fields:
      *   * `display_name`
      *   * `description`
@@ -881,8 +876,7 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * Updatable fields:
      *   * `display_name`
      *   * `description`
@@ -911,8 +905,7 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * Updatable fields:
      *   * `display_name`
      *   * `description`
@@ -938,8 +931,7 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * Updatable fields:
      *   * `display_name`
      *   * `description`
@@ -970,8 +962,7 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * Updatable fields:
      *   * `display_name`
      *   * `description`
@@ -998,8 +989,7 @@ public Builder clearUpdateMask() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * Updatable fields:
      *   * `display_name`
      *   * `description`
@@ -1020,8 +1010,7 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * Updatable fields:
      *   * `display_name`
      *   * `description`
@@ -1046,8 +1035,7 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * Updatable fields:
      *   * `display_name`
      *   * `description`
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequestOrBuilder.java
index 6e34c4c84..3a5dc293a 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequestOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateDatasetRequestOrBuilder.java
@@ -70,8 +70,7 @@ public interface UpdateDatasetRequestOrBuilder
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https:
-   * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * Updatable fields:
    *   * `display_name`
    *   * `description`
@@ -90,8 +89,7 @@ public interface UpdateDatasetRequestOrBuilder
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https:
-   * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * Updatable fields:
    *   * `display_name`
    *   * `description`
@@ -110,8 +108,7 @@ public interface UpdateDatasetRequestOrBuilder
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https:
-   * //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * Updatable fields:
    *   * `display_name`
    *   * `description`
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequest.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequest.java
index d9f0a4fbb..3e01d02c6 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequest.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequest.java
@@ -194,6 +194,8 @@ public com.google.cloud.aiplatform.v1beta1.EndpointOrBuilder getEndpointOrBuilde
    *
    * <pre>
    * Required. The update mask applies to the resource.
+   * See
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -210,6 +212,8 @@ public boolean hasUpdateMask() {
    *
    * <pre>
    * Required. The update mask applies to the resource.
+   * See
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -226,6 +230,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    *
    * <pre>
    * Required. The update mask applies to the resource.
+   * See
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -810,6 +816,8 @@ public com.google.cloud.aiplatform.v1beta1.EndpointOrBuilder getEndpointOrBuilde
      *
      * <pre>
      * Required. The update mask applies to the resource.
+     * See
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -825,6 +833,8 @@ public boolean hasUpdateMask() {
      *
      * <pre>
      * Required. The update mask applies to the resource.
+     * See
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -846,6 +856,8 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      *
      * <pre>
      * Required. The update mask applies to the resource.
+     * See
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -869,6 +881,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      *
      * <pre>
      * Required. The update mask applies to the resource.
+     * See
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -889,6 +903,8 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      *
      * <pre>
      * Required. The update mask applies to the resource.
+     * See
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -914,6 +930,8 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      *
      * <pre>
      * Required. The update mask applies to the resource.
+     * See
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -935,6 +953,8 @@ public Builder clearUpdateMask() {
      *
      * <pre>
      * Required. The update mask applies to the resource.
+     * See
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -950,6 +970,8 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      *
      * <pre>
      * Required. The update mask applies to the resource.
+     * See
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -969,6 +991,8 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      *
      * <pre>
      * Required. The update mask applies to the resource.
+     * See
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequestOrBuilder.java
index 615096d7a..d381f83e8 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequestOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateEndpointRequestOrBuilder.java
@@ -69,6 +69,8 @@ public interface UpdateEndpointRequestOrBuilder
    *
    * <pre>
    * Required. The update mask applies to the resource.
+   * See
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -82,6 +84,8 @@ public interface UpdateEndpointRequestOrBuilder
    *
    * <pre>
    * Required. The update mask applies to the resource.
+   * See
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -95,6 +99,8 @@ public interface UpdateEndpointRequestOrBuilder
    *
    * <pre>
    * Required. The update mask applies to the resource.
+   * See
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequest.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequest.java
index bc165bd33..62902fada 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequest.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequest.java
@@ -193,9 +193,7 @@ public com.google.cloud.aiplatform.v1beta1.ModelOrBuilder getModelOrBuilder() {
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https:
-   * //developers.google.com/protocol-buffers
-   * // /docs/reference/google.protobuf#fieldmask).
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -213,9 +211,7 @@ public boolean hasUpdateMask() {
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https:
-   * //developers.google.com/protocol-buffers
-   * // /docs/reference/google.protobuf#fieldmask).
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -233,9 +229,7 @@ public com.google.protobuf.FieldMask getUpdateMask() {
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https:
-   * //developers.google.com/protocol-buffers
-   * // /docs/reference/google.protobuf#fieldmask).
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -820,9 +814,7 @@ public com.google.cloud.aiplatform.v1beta1.ModelOrBuilder getModelOrBuilder() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //developers.google.com/protocol-buffers
-     * // /docs/reference/google.protobuf#fieldmask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -839,9 +831,7 @@ public boolean hasUpdateMask() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //developers.google.com/protocol-buffers
-     * // /docs/reference/google.protobuf#fieldmask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -864,9 +854,7 @@ public com.google.protobuf.FieldMask getUpdateMask() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //developers.google.com/protocol-buffers
-     * // /docs/reference/google.protobuf#fieldmask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -891,9 +879,7 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask value) {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //developers.google.com/protocol-buffers
-     * // /docs/reference/google.protobuf#fieldmask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -915,9 +901,7 @@ public Builder setUpdateMask(com.google.protobuf.FieldMask.Builder builderForVal
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //developers.google.com/protocol-buffers
-     * // /docs/reference/google.protobuf#fieldmask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -944,9 +928,7 @@ public Builder mergeUpdateMask(com.google.protobuf.FieldMask value) {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //developers.google.com/protocol-buffers
-     * // /docs/reference/google.protobuf#fieldmask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -969,9 +951,7 @@ public Builder clearUpdateMask() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //developers.google.com/protocol-buffers
-     * // /docs/reference/google.protobuf#fieldmask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -988,9 +968,7 @@ public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //developers.google.com/protocol-buffers
-     * // /docs/reference/google.protobuf#fieldmask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -1011,9 +989,7 @@ public com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder() {
      * <pre>
      * Required. The update mask applies to the resource.
      * For the `FieldMask` definition, see
-     * [FieldMask](https:
-     * //developers.google.com/protocol-buffers
-     * // /docs/reference/google.protobuf#fieldmask).
+     * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
      * </pre>
      *
      * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequestOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequestOrBuilder.java
index 89739f46b..c05760803 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequestOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UpdateModelRequestOrBuilder.java
@@ -70,9 +70,7 @@ public interface UpdateModelRequestOrBuilder
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https:
-   * //developers.google.com/protocol-buffers
-   * // /docs/reference/google.protobuf#fieldmask).
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -87,9 +85,7 @@ public interface UpdateModelRequestOrBuilder
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https:
-   * //developers.google.com/protocol-buffers
-   * // /docs/reference/google.protobuf#fieldmask).
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
@@ -104,9 +100,7 @@ public interface UpdateModelRequestOrBuilder
    * <pre>
    * Required. The update mask applies to the resource.
    * For the `FieldMask` definition, see
-   * [FieldMask](https:
-   * //developers.google.com/protocol-buffers
-   * // /docs/reference/google.protobuf#fieldmask).
+   * [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
    * </pre>
    *
    * <code>.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WorkerPoolSpec.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WorkerPoolSpec.java
index ff1a3d185..8833bd2b2 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WorkerPoolSpec.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WorkerPoolSpec.java
@@ -331,11 +331,11 @@ public com.google.cloud.aiplatform.v1beta1.PythonPackageSpec getPythonPackageSpe
    *
    *
    * <pre>
-   * Required. Immutable. The specification of a single machine.
+   * Optional. Immutable. The specification of a single machine.
    * </pre>
    *
    * <code>
-   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
    * </code>
    *
    * @return Whether the machineSpec field is set.
@@ -348,11 +348,11 @@ public boolean hasMachineSpec() {
    *
    *
    * <pre>
-   * Required. Immutable. The specification of a single machine.
+   * Optional. Immutable. The specification of a single machine.
    * </pre>
    *
    * <code>
-   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
    * </code>
    *
    * @return The machineSpec.
@@ -367,11 +367,11 @@ public com.google.cloud.aiplatform.v1beta1.MachineSpec getMachineSpec() {
    *
    *
    * <pre>
-   * Required. Immutable. The specification of a single machine.
+   * Optional. Immutable. The specification of a single machine.
    * </pre>
    *
    * <code>
-   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
    * </code>
    */
   @java.lang.Override
@@ -385,10 +385,10 @@ public com.google.cloud.aiplatform.v1beta1.MachineSpecOrBuilder getMachineSpecOr
    *
    *
    * <pre>
-   * Required. The number of worker replicas to use for this worker pool.
+   * Optional. The number of worker replicas to use for this worker pool.
    * </pre>
    *
-   * <code>int64 replica_count = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   * <code>int64 replica_count = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
    *
    * @return The replicaCount.
    */
@@ -1337,11 +1337,11 @@ public Builder clearPythonPackageSpec() {
      *
      *
      * <pre>
-     * Required. Immutable. The specification of a single machine.
+     * Optional. Immutable. The specification of a single machine.
      * </pre>
      *
      * <code>
-     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
      * </code>
      *
      * @return Whether the machineSpec field is set.
@@ -1353,11 +1353,11 @@ public boolean hasMachineSpec() {
      *
      *
      * <pre>
-     * Required. Immutable. The specification of a single machine.
+     * Optional. Immutable. The specification of a single machine.
      * </pre>
      *
      * <code>
-     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
      * </code>
      *
      * @return The machineSpec.
@@ -1375,11 +1375,11 @@ public com.google.cloud.aiplatform.v1beta1.MachineSpec getMachineSpec() {
      *
      *
      * <pre>
-     * Required. Immutable. The specification of a single machine.
+     * Optional. Immutable. The specification of a single machine.
      * </pre>
      *
      * <code>
-     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
      * </code>
      */
     public Builder setMachineSpec(com.google.cloud.aiplatform.v1beta1.MachineSpec value) {
@@ -1399,11 +1399,11 @@ public Builder setMachineSpec(com.google.cloud.aiplatform.v1beta1.MachineSpec va
      *
      *
      * <pre>
-     * Required. Immutable. The specification of a single machine.
+     * Optional. Immutable. The specification of a single machine.
      * </pre>
      *
      * <code>
-     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
      * </code>
      */
     public Builder setMachineSpec(
@@ -1421,11 +1421,11 @@ public Builder setMachineSpec(
      *
      *
      * <pre>
-     * Required. Immutable. The specification of a single machine.
+     * Optional. Immutable. The specification of a single machine.
      * </pre>
      *
      * <code>
-     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
      * </code>
      */
     public Builder mergeMachineSpec(com.google.cloud.aiplatform.v1beta1.MachineSpec value) {
@@ -1449,11 +1449,11 @@ public Builder mergeMachineSpec(com.google.cloud.aiplatform.v1beta1.MachineSpec
      *
      *
      * <pre>
-     * Required. Immutable. The specification of a single machine.
+     * Optional. Immutable. The specification of a single machine.
      * </pre>
      *
      * <code>
-     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
      * </code>
      */
     public Builder clearMachineSpec() {
@@ -1471,11 +1471,11 @@ public Builder clearMachineSpec() {
      *
      *
      * <pre>
-     * Required. Immutable. The specification of a single machine.
+     * Optional. Immutable. The specification of a single machine.
      * </pre>
      *
      * <code>
-     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
      * </code>
      */
     public com.google.cloud.aiplatform.v1beta1.MachineSpec.Builder getMachineSpecBuilder() {
@@ -1487,11 +1487,11 @@ public com.google.cloud.aiplatform.v1beta1.MachineSpec.Builder getMachineSpecBui
      *
      *
      * <pre>
-     * Required. Immutable. The specification of a single machine.
+     * Optional. Immutable. The specification of a single machine.
      * </pre>
      *
      * <code>
-     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
      * </code>
      */
     public com.google.cloud.aiplatform.v1beta1.MachineSpecOrBuilder getMachineSpecOrBuilder() {
@@ -1507,11 +1507,11 @@ public com.google.cloud.aiplatform.v1beta1.MachineSpecOrBuilder getMachineSpecOr
      *
      *
      * <pre>
-     * Required. Immutable. The specification of a single machine.
+     * Optional. Immutable. The specification of a single machine.
      * </pre>
      *
      * <code>
-     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+     * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
      * </code>
      */
     private com.google.protobuf.SingleFieldBuilderV3<
@@ -1536,10 +1536,10 @@ public com.google.cloud.aiplatform.v1beta1.MachineSpecOrBuilder getMachineSpecOr
      *
      *
      * <pre>
-     * Required. The number of worker replicas to use for this worker pool.
+     * Optional. The number of worker replicas to use for this worker pool.
      * </pre>
      *
-     * <code>int64 replica_count = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     * <code>int64 replica_count = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
      *
      * @return The replicaCount.
      */
@@ -1551,10 +1551,10 @@ public long getReplicaCount() {
      *
      *
      * <pre>
-     * Required. The number of worker replicas to use for this worker pool.
+     * Optional. The number of worker replicas to use for this worker pool.
      * </pre>
      *
-     * <code>int64 replica_count = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     * <code>int64 replica_count = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
      *
      * @param value The replicaCount to set.
      * @return This builder for chaining.
@@ -1569,10 +1569,10 @@ public Builder setReplicaCount(long value) {
      *
      *
      * <pre>
-     * Required. The number of worker replicas to use for this worker pool.
+     * Optional. The number of worker replicas to use for this worker pool.
      * </pre>
      *
-     * <code>int64 replica_count = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+     * <code>int64 replica_count = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
      *
      * @return This builder for chaining.
      */
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WorkerPoolSpecOrBuilder.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WorkerPoolSpecOrBuilder.java
index 0d65828a9..5ec0c9b05 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WorkerPoolSpecOrBuilder.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/WorkerPoolSpecOrBuilder.java
@@ -97,11 +97,11 @@ public interface WorkerPoolSpecOrBuilder
    *
    *
    * <pre>
-   * Required. Immutable. The specification of a single machine.
+   * Optional. Immutable. The specification of a single machine.
    * </pre>
    *
    * <code>
-   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
    * </code>
    *
    * @return Whether the machineSpec field is set.
@@ -111,11 +111,11 @@ public interface WorkerPoolSpecOrBuilder
    *
    *
    * <pre>
-   * Required. Immutable. The specification of a single machine.
+   * Optional. Immutable. The specification of a single machine.
    * </pre>
    *
    * <code>
-   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
    * </code>
    *
    * @return The machineSpec.
@@ -125,11 +125,11 @@ public interface WorkerPoolSpecOrBuilder
    *
    *
    * <pre>
-   * Required. Immutable. The specification of a single machine.
+   * Optional. Immutable. The specification of a single machine.
    * </pre>
    *
    * <code>
-   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];
+   * .google.cloud.aiplatform.v1beta1.MachineSpec machine_spec = 1 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
    * </code>
    */
   com.google.cloud.aiplatform.v1beta1.MachineSpecOrBuilder getMachineSpecOrBuilder();
@@ -138,10 +138,10 @@ public interface WorkerPoolSpecOrBuilder
    *
    *
    * <pre>
-   * Required. The number of worker replicas to use for this worker pool.
+   * Optional. The number of worker replicas to use for this worker pool.
    * </pre>
    *
-   * <code>int64 replica_count = 2 [(.google.api.field_behavior) = REQUIRED];</code>
+   * <code>int64 replica_count = 2 [(.google.api.field_behavior) = OPTIONAL];</code>
    *
    * @return The replicaCount.
    */
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/XraiAttribution.java b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/XraiAttribution.java
index c4d0f45dd..c5904162b 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/XraiAttribution.java
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/XraiAttribution.java
@@ -26,7 +26,7 @@
  * attributions to segmented regions, taking advantage of the model's fully
  * differentiable structure. Refer to this paper for more details:
  * https://arxiv.org/abs/1906.02825
- * Only supports image Models ([modality][InputMetadata.modality] is IMAGE).
+ * Supported only by image Models.
  * </pre>
  *
  * Protobuf type {@code google.cloud.aiplatform.v1beta1.XraiAttribution}
@@ -391,7 +391,7 @@ protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.Build
    * attributions to segmented regions, taking advantage of the model's fully
    * differentiable structure. Refer to this paper for more details:
    * https://arxiv.org/abs/1906.02825
-   * Only supports image Models ([modality][InputMetadata.modality] is IMAGE).
+   * Supported only by image Models.
    * </pre>
    *
    * Protobuf type {@code google.cloud.aiplatform.v1beta1.XraiAttribution}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/batch_prediction_job.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/batch_prediction_job.proto
index 0adbda7f2..f763df636 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/batch_prediction_job.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/batch_prediction_job.proto
@@ -19,6 +19,7 @@ package google.cloud.aiplatform.v1beta1;
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/completion_stats.proto";
+import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/explanation.proto";
 import "google/cloud/aiplatform/v1beta1/io.proto";
 import "google/cloud/aiplatform/v1beta1/job_state.proto";
@@ -50,7 +51,7 @@ message BatchPredictionJob {
   message InputConfig {
     // Required. The source of the input.
     oneof source {
-      // The Google Cloud Storage location for the input instances.
+      // The Cloud Storage location for the input instances.
       GcsSource gcs_source = 2;
 
       // The BigQuery location of the input table.
@@ -73,7 +74,7 @@ message BatchPredictionJob {
   message OutputConfig {
     // Required. The destination of the output.
     oneof destination {
-      // The Google Cloud Storage location of the directory where the output is
+      // The Cloud Storage location of the directory where the output is
       // to be written to. In the given directory a new directory is created.
       // Its name is `prediction-<model-display-name>-<job-create-time>`,
       // where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
@@ -129,7 +130,7 @@ message BatchPredictionJob {
   message OutputInfo {
     // The output location into which prediction output is written.
     oneof output_location {
-      // Output only. The full path of the Google Cloud Storage directory created, into which
+      // Output only. The full path of the Cloud Storage directory created, into which
       // the prediction output is written.
       string gcs_output_directory = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
@@ -192,29 +193,30 @@ message BatchPredictionJob {
   // the tuning itself).
   ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(google.api.field_behavior) = IMMUTABLE];
 
-  // Generate explanation along with the batch prediction results.
+  // Generate explanation with the batch prediction results.
   //
-  // When it's true, the batch prediction output will change based on the
-  // [output format][BatchPredictionJob.output_config.predictions_format]:
+  // When set to `true`, the batch prediction output changes based on the
+  // `predictions_format` field of the
+  // [BatchPredictionJob.output_config][google.cloud.aiplatform.v1beta1.BatchPredictionJob.output_config] object:
   //
-  //  * `bigquery`: output will include a column named `explanation`. The value
+  //  * `bigquery`: output includes a column named `explanation`. The value
   //    is a struct that conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
-  //  * `jsonl`: The JSON objects on each line will include an additional entry
+  //  * `jsonl`: The JSON objects on each line include an additional entry
   //    keyed `explanation`. The value of the entry is a JSON object that
   //    conforms to the [Explanation][google.cloud.aiplatform.v1beta1.Explanation] object.
   //  * `csv`: Generating explanations for CSV format is not supported.
+  //
+  // If this field is set to true, the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be
+  // populated.
   bool generate_explanation = 23;
 
-  // Explanation configuration for this BatchPredictionJob. Can only be
-  // specified if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`. It's invalid to
-  // specified it with generate_explanation set to false or unset.
+  // Explanation configuration for this BatchPredictionJob. Can be
+  // specified only if [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation] is set to `true`.
   //
   // This value overrides the value of [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]. All fields of
-  // [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of
-  // [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] is not populated, the value of the same field of
-  // [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] is inherited. The corresponding
-  // [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] must be populated, otherwise explanation for
-  // this Model is not allowed.
+  // [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] are optional in the request. If a field of the
+  // [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] object is not populated, the corresponding field of
+  // the [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec] object is inherited.
   ExplanationSpec explanation_spec = 25;
 
   // Output only. Information further describing the output of this job.
@@ -266,4 +268,9 @@ message BatchPredictionJob {
   //
   // See https://goo.gl/xmQnxf for more information and examples of labels.
   map<string, string> labels = 19;
+
+  // Customer-managed encryption key options for a BatchPredictionJob. If this
+  // is set, then all resources created by the BatchPredictionJob will be
+  // encrypted with the provided encryption key.
+  EncryptionSpec encryption_spec = 24;
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/custom_job.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/custom_job.proto
index 8fd3649a6..f50e56ed7 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/custom_job.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/custom_job.proto
@@ -18,6 +18,7 @@ package google.cloud.aiplatform.v1beta1;
 
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/env_var.proto";
 import "google/cloud/aiplatform/v1beta1/io.proto";
 import "google/cloud/aiplatform/v1beta1/job_state.proto";
@@ -82,6 +83,11 @@ message CustomJob {
   //
   // See https://goo.gl/xmQnxf for more information and examples of labels.
   map<string, string> labels = 11;
+
+  // Customer-managed encryption key options for a CustomJob. If this is set,
+  // then all resources created by the CustomJob will be encrypted with the
+  // provided encryption key.
+  EncryptionSpec encryption_spec = 12;
 }
 
 // Represents the spec of a CustomJob.
@@ -94,39 +100,40 @@ message CustomJobSpec {
 
   // Specifies the service account for workload run-as account.
   // Users submitting jobs must have act-as permission on this run-as account.
+  // If unspecified, the AI Platform Custom Code Service Agent for the
+  // CustomJob's project is used.
   string service_account = 4;
 
   // The full name of the Compute Engine
   // [network](/compute/docs/networks-and-firewalls#networks) to which the Job
-  // should be peered. For example, projects/12345/global/networks/myVPC.
-  //
-  // [Format](https:
-  // //cloud.google.com/compute/docs/reference/rest/v1/networks/insert)
-  // is of the form projects/{project}/global/networks/{network}.
-  // Where {project} is a project number, as in '12345', and {network} is
+  // should be peered. For example, `projects/12345/global/networks/myVPC`.
+  // [Format](/compute/docs/reference/rest/v1/networks/insert)
+  // is of the form `projects/{project}/global/networks/{network}`.
+  // Where {project} is a project number, as in `12345`, and {network} is a
   // network name.
   //
   // Private services access must already be configured for the network. If left
   // unspecified, the job is not peered with any network.
   string network = 5;
 
-  // The Google Cloud Storage location to store the output of this CustomJob or
+  // The Cloud Storage location to store the output of this CustomJob or
   // HyperparameterTuningJob. For HyperparameterTuningJob,
-  // [base_output_directory][CustomJob.job_spec.base_output_directory] of
+  // the baseOutputDirectory of
   // each child CustomJob backing a Trial is set to a subdirectory of name
-  // [id][google.cloud.aiplatform.v1beta1.Trial.id] under parent HyperparameterTuningJob's
-  //
-  // [base_output_directory][HyperparameterTuningJob.trial_job_spec.base_output_directory].
+  // [id][google.cloud.aiplatform.v1beta1.Trial.id] under its parent HyperparameterTuningJob's
+  // baseOutputDirectory.
   //
-  // Following AI Platform environment variables will be passed to containers or
-  // python modules when this field is set:
+  // The following AI Platform environment variables will be passed to
+  // containers or python modules when this field is set:
   //
   //   For CustomJob:
+  //
   //   * AIP_MODEL_DIR = `<base_output_directory>/model/`
   //   * AIP_CHECKPOINT_DIR = `<base_output_directory>/checkpoints/`
   //   * AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/logs/`
   //
   //   For CustomJob backing a Trial of HyperparameterTuningJob:
+  //
   //   * AIP_MODEL_DIR = `<base_output_directory>/<trial_id>/model/`
   //   * AIP_CHECKPOINT_DIR = `<base_output_directory>/<trial_id>/checkpoints/`
   //   * AIP_TENSORBOARD_LOG_DIR = `<base_output_directory>/<trial_id>/logs/`
@@ -144,14 +151,14 @@ message WorkerPoolSpec {
     PythonPackageSpec python_package_spec = 7;
   }
 
-  // Required. Immutable. The specification of a single machine.
+  // Optional. Immutable. The specification of a single machine.
   MachineSpec machine_spec = 1 [
-    (google.api.field_behavior) = REQUIRED,
+    (google.api.field_behavior) = OPTIONAL,
     (google.api.field_behavior) = IMMUTABLE
   ];
 
-  // Required. The number of worker replicas to use for this worker pool.
-  int64 replica_count = 2 [(google.api.field_behavior) = REQUIRED];
+  // Optional. The number of worker replicas to use for this worker pool.
+  int64 replica_count = 2 [(google.api.field_behavior) = OPTIONAL];
 
   // Disk spec.
   DiskSpec disk_spec = 5;
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/data_labeling_job.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/data_labeling_job.proto
index 6d2410d9c..41a4cb5d7 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/data_labeling_job.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/data_labeling_job.proto
@@ -19,6 +19,7 @@ package google.cloud.aiplatform.v1beta1;
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/accelerator_type.proto";
+import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/job_state.proto";
 import "google/cloud/aiplatform/v1beta1/specialist_pool.proto";
 import "google/protobuf/struct.proto";
@@ -126,13 +127,20 @@ message DataLabelingJob {
   // The SpecialistPools' resource names associated with this job.
   repeated string specialist_pools = 16;
 
-  // Paramaters that configure active learning pipeline. Active learning will
+  // Customer-managed encryption key spec for a DataLabelingJob. If set, this
+  // DataLabelingJob will be secured by this key.
+  //
+  // Note: Annotations created in the DataLabelingJob are associated with
+  // the EncryptionSpec of the Dataset they are exported to.
+  EncryptionSpec encryption_spec = 20;
+
+  // Parameters that configure active learning pipeline. Active learning will
   // label the data incrementally via several iterations. For every iteration,
   // it will select a batch of data based on the sampling strategy.
   ActiveLearningConfig active_learning_config = 21;
 }
 
-// Paramaters that configure active learning pipeline. Active learning will
+// Parameters that configure active learning pipeline. Active learning will
 //  label the data incrementally by several iterations. For every iteration, it
 //  will select a batch of data based on the sampling strategy.
 message ActiveLearningConfig {
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset.proto
index 26ba6c78b..6a7e46890 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset.proto
@@ -18,6 +18,7 @@ package google.cloud.aiplatform.v1beta1;
 
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/io.proto";
 import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
@@ -78,6 +79,10 @@ message Dataset {
   // * "aiplatform.googleapis.com/dataset_metadata_schema": output only, its
   //   value is the [metadata_schema's][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] title.
   map<string, string> labels = 7;
+
+  // Customer-managed encryption key spec for a Dataset. If set, this Dataset
+  // and all sub-resources of this Dataset will be secured by this key.
+  EncryptionSpec encryption_spec = 11;
 }
 
 // Describes the location from where we import data into a Dataset, together
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset_service.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset_service.proto
index 069f251b7..17e9eb89d 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset_service.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset_service.proto
@@ -181,9 +181,7 @@ message UpdateDatasetRequest {
 
   // Required. The update mask applies to the resource.
   // For the `FieldMask` definition, see
-  //
-  // [FieldMask](https:
-  // //tinyurl.com/dev-google-protobuf#google.protobuf.FieldMask).
+  // [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
   // Updatable fields:
   //
   //   * `display_name`
@@ -203,7 +201,19 @@ message ListDatasetsRequest {
     }
   ];
 
-  // The standard list filter.
+  // An expression for filtering the results of the request. For field names
+  // both snake_case and camelCase are supported.
+  //
+  //   * `display_name`: supports = and !=
+  //   * `metadata_schema_uri`: supports = and !=
+  //   * `labels` supports general map functions that is:
+  //     * `labels.key=value` - key:value equality
+  //     * `labels.key:* or labels:key - key existence
+  //     * A key including a space must be quoted. `labels."a key"`.
+  //
+  // Some examples:
+  //   * `displayName="myDisplayName"`
+  //   * `labels.myKey="myValue"`
   string filter = 2;
 
   // The standard list page size.
@@ -219,7 +229,7 @@ message ListDatasetsRequest {
   // Use "desc" after a field name for descending.
   // Supported fields:
   //   * `display_name`
-  //   * `data_item_count`   * `create_time`
+  //   * `create_time`
   //   * `update_time`
   string order_by = 6;
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/encryption_spec.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/encryption_spec.proto
new file mode 100644
index 000000000..b2d9f3f22
--- /dev/null
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/encryption_spec.proto
@@ -0,0 +1,36 @@
+// Copyright 2020 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+syntax = "proto3";
+
+package google.cloud.aiplatform.v1beta1;
+
+import "google/api/field_behavior.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
+option java_multiple_files = true;
+option java_outer_classname = "EncryptionSpecProto";
+option java_package = "com.google.cloud.aiplatform.v1beta1";
+
+// Represents a customer-managed encryption key spec that can be applied to
+// a top-level resource.
+message EncryptionSpec {
+  // Required. The Cloud KMS resource identifier of the customer managed encryption key
+  // used to protect a resource. Has the form:
+  // `projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key`.
+  // The key needs to be in the same region as where the compute resource is
+  // created.
+  string kms_key_name = 1 [(google.api.field_behavior) = REQUIRED];
+}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint.proto
index 6138ff501..19f82c5f5 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint.proto
@@ -18,6 +18,7 @@ package google.cloud.aiplatform.v1beta1;
 
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/explanation.proto";
 import "google/cloud/aiplatform/v1beta1/machine_resources.proto";
 import "google/protobuf/timestamp.proto";
@@ -80,6 +81,11 @@ message Endpoint {
 
   // Output only. Timestamp when this Endpoint was last updated.
   google.protobuf.Timestamp update_time = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Customer-managed encryption key spec for an Endpoint. If set, this
+  // Endpoint and all sub-resources of this Endpoint will be secured by
+  // this key.
+  EncryptionSpec encryption_spec = 10;
 }
 
 // A deployment of a Model. Endpoints contain one or more DeployedModels.
@@ -141,7 +147,7 @@ message DeployedModel {
   // If true, the container of the DeployedModel instances will send `stderr`
   // and `stdout` streams to Stackdriver Logging.
   //
-  // Only supported for custom-trained Models and AutoML Tables Models.
+  // Only supported for custom-trained Models and AutoML Tabular Models.
   bool enable_container_logging = 12;
 
   // These logs are like standard server access logs, containing
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint_service.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint_service.proto
index 87c673cc8..8d8284b6a 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint_service.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint_service.proto
@@ -161,18 +161,16 @@ message ListEndpointsRequest {
   // both snake_case and camelCase are supported.
   //
   //   * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID,
-  //     ie. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
-  //   * `display_name` supports =, != and regex()
-  //             (uses [re2](https://github.com/google/re2/wiki/Syntax) syntax)
+  //     i.e. the last segment of the Endpoint's [resource name][google.cloud.aiplatform.v1beta1.Endpoint.name].
+  //   * `display_name` supports = and, !=
   //   * `labels` supports general map functions that is:
-  //             `labels.key=value` - key:value equality
-  //             `labels.key:* or labels:key - key existence
-  //              A key including a space must be quoted. `labels."a key"`.
+  //     * `labels.key=value` - key:value equality
+  //     * `labels.key:* or labels:key - key existence
+  //     * A key including a space must be quoted. `labels."a key"`.
   //
   // Some examples:
   //   * `endpoint=1`
   //   * `displayName="myDisplayName"`
-  //   * `regex(display_name, "^A") -> The display name starts with an A.
   //   * `labels.myKey="myValue"`
   string filter = 2 [(google.api.field_behavior) = OPTIONAL];
 
@@ -205,6 +203,8 @@ message UpdateEndpointRequest {
   Endpoint endpoint = 1 [(google.api.field_behavior) = REQUIRED];
 
   // Required. The update mask applies to the resource.
+  // See
+  // [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
   google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/env_var.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/env_var.proto
index c4e1874e5..2f96fc1bc 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/env_var.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/env_var.proto
@@ -29,12 +29,12 @@ message EnvVar {
   // Required. Name of the environment variable. Must be a valid C identifier.
   string name = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Variables that reference a $(VAR_NAME) are expanded
+  // Required. Variables that reference a $(VAR_NAME) are expanded
   // using the previous defined environment variables in the container and
   // any service environment variables. If a variable cannot be resolved,
   // the reference in the input string will be unchanged. The $(VAR_NAME)
   // syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped
   // references will never be expanded, regardless of whether the variable
   // exists or not.
-  string value = 2;
+  string value = 2 [(google.api.field_behavior) = REQUIRED];
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation.proto
index 9bc020786..a75ee628f 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation.proto
@@ -48,7 +48,7 @@ message Explanation {
 
 // Aggregated explanation metrics for a Model over a set of instances.
 message ModelExplanation {
-  // Output only. Aggregated attributions explaning the Model's prediction outputs over the
+  // Output only. Aggregated attributions explaining the Model's prediction outputs over the
   // set of instances. The attributions are grouped by outputs.
   //
   // For Models that predict only one output, such as regression Models that
@@ -127,8 +127,8 @@ message Attribution {
   // of the output vector. Indices start from 0.
   repeated int32 output_index = 4 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index], e.g. the
-  // predicted class name by a multi-classification Model.
+  // Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index]. For example,
+  // the predicted class name by a multi-classification Model.
   //
   // This field is only populated iff the Model predicts display names as a
   // separate field along with the explained output. The predicted display name
@@ -139,22 +139,20 @@ message Attribution {
   // Output only. Error of [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] caused by approximation used in the
   // explanation method. Lower value means more precise attributions.
   //
-  // * For [Sampled Shapley
-  // attribution][ExplanationParameters.sampled_shapley_attribution], increasing
-  // [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] may reduce the error.
-  // * For [Integrated Gradients
-  // attribution][ExplanationParameters.integrated_gradients_attribution],
-  // increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] may
+  // * For Sampled Shapley
+  // [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.sampled_shapley_attribution],
+  // increasing [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count] might reduce
+  // the error.
+  // * For Integrated Gradients
+  // [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
+  // increasing [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count] might
   // reduce the error.
-  // * For [XRAI
-  // attribution][ExplanationParameters.xrai_attribution], increasing
-  // [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] may reduce the error.
+  // * For [XRAI attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
+  // increasing
+  // [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count] might reduce the error.
   //
-  // Refer to  AI Explanations Whitepaper for more details:
-  //
-  // https:
-  // //storage.googleapis.com/cloud-ai-whitep
-  // // apers/AI%20Explainability%20Whitepaper.pdf
+  // See [this introduction](/ai-platform-unified/docs/explainable-ai/overview)
+  // for more information.
   double approximation_error = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Name of the explain output. Specified as the key in
@@ -204,7 +202,7 @@ message ExplanationParameters {
   int32 top_k = 4;
 
   // If populated, only returns attributions that have
-  // [output_index][Attributions.output_index] contained in output_indices. It
+  // [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index] contained in output_indices. It
   // must be an ndarray of integers, with the same shape of the output it's
   // explaining.
   //
@@ -253,7 +251,7 @@ message IntegratedGradientsAttribution {
 // differentiable structure. Refer to this paper for more details:
 // https://arxiv.org/abs/1906.02825
 //
-// Only supports image Models ([modality][InputMetadata.modality] is IMAGE).
+// Supported only by image Models.
 message XraiAttribution {
   // Required. The number of steps for approximating the path integral.
   // A good value to start is 50 and gradually increase until the
@@ -285,12 +283,9 @@ message SmoothGradConfig {
     // This is a single float value and will be used to add noise to all the
     // features. Use this field when all features are normalized to have the
     // same distribution: scale to range [0, 1], [-1, 1] or z-scoring, where
-    // features are normalized to have 0-mean and 1-variance. Refer to
-    // this doc for more details about normalization:
-    //
-    // https:
-    // //developers.google.com/machine-learning
-    // // /data-prep/transform/normalization.
+    // features are normalized to have 0-mean and 1-variance. For more details
+    // about normalization:
+    // https://tinyurl.com/dgc-normalization.
     //
     // For best results the recommended value is about 10% - 20% of the standard
     // deviation of the input feature. Refer to section 3.2 of the SmoothGrad
@@ -338,3 +333,38 @@ message FeatureNoiseSigma {
   // Noise sigma per feature. No noise is added to features that are not set.
   repeated NoiseSigmaForFeature noise_sigma = 1;
 }
+
+// The [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] entries that can be overridden at [online
+// explanation][PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.
+message ExplanationSpecOverride {
+  // The parameters to be overridden. Note that the
+  // [method][google.cloud.aiplatform.v1beta1.ExplanationParameters.method] cannot be changed. If not specified,
+  // no parameter is overridden.
+  ExplanationParameters parameters = 1;
+
+  // The metadata to be overridden. If not specified, no metadata is overridden.
+  ExplanationMetadataOverride metadata = 2;
+}
+
+// The [ExplanationMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata] entries that can be overridden at
+// [online explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.
+message ExplanationMetadataOverride {
+  // The [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata] entries to be
+  // overridden.
+  message InputMetadataOverride {
+    // Baseline inputs for this feature.
+    //
+    // This overrides the `input_baseline` field of the
+    // [ExplanationMetadata.InputMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata]
+    // object of the corresponding feature's input metadata. If it's not
+    // specified, the original baselines are not overridden.
+    repeated google.protobuf.Value input_baselines = 1;
+  }
+
+  // Required. Overrides the [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs] of the features.
+  // The key is the name of the feature to be overridden. The keys specified
+  // here must exist in the input metadata to be overridden. If a feature is
+  // not specified here, the corresponding feature's input metadata is not
+  // overridden.
+  map<string, InputMetadataOverride> inputs = 1 [(google.api.field_behavior) = REQUIRED];
+}
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation_metadata.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation_metadata.proto
index eae647df6..985e4478c 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation_metadata.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/explanation_metadata.proto
@@ -367,8 +367,8 @@ message ExplanationMetadata {
   // of the empty feature is chosen by AI Platform.
   //
   // For AI Platform provided Tensorflow images, the key can be any friendly
-  // name of the feature . Once specified, [
-  // featureAttributions][Attribution.feature_attributions] will be keyed by
+  // name of the feature. Once specified,
+  // [featureAttributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions] are keyed by
   // this key (if not grouped with another feature).
   //
   // For custom images, the key must match with the key in
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/hyperparameter_tuning_job.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/hyperparameter_tuning_job.proto
index c8d8e5d3c..fc6181e95 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/hyperparameter_tuning_job.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/hyperparameter_tuning_job.proto
@@ -19,6 +19,7 @@ package google.cloud.aiplatform.v1beta1;
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/custom_job.proto";
+import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/job_state.proto";
 import "google/cloud/aiplatform/v1beta1/study.proto";
 import "google/protobuf/timestamp.proto";
@@ -99,4 +100,9 @@ message HyperparameterTuningJob {
   //
   // See https://goo.gl/xmQnxf for more information and examples of labels.
   map<string, string> labels = 16;
+
+  // Customer-managed encryption key options for a HyperparameterTuningJob.
+  // If this is set, then all resources created by the HyperparameterTuningJob
+  // will be encrypted with the provided encryption key.
+  EncryptionSpec encryption_spec = 17;
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/io.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/io.proto
index 16f883db0..83e0f5dfe 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/io.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/io.proto
@@ -51,10 +51,16 @@ message BigQuerySource {
 
 // The BigQuery location for the output content.
 message BigQueryDestination {
-  // Required. BigQuery URI to a project, up to 2000 characters long.
+  // Required. BigQuery URI to a project or table, up to 2000 characters long.
+  //
+  // When only project is specified, Dataset and Table is created.
+  // When full table reference is specified, Dataset must exist and table must
+  // not exist.
+  //
   // Accepted forms:
   //
-  // *  BigQuery path. For example: `bq://projectId`.
+  // *  BigQuery path. For example:
+  // `bq://projectId` or `bq://projectId.bqDatasetId.bqTableId`.
   string output_uri = 1 [(google.api.field_behavior) = REQUIRED];
 }
 
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/job_service.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/job_service.proto
index b75456f57..01bf83e07 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/job_service.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/job_service.proto
@@ -24,9 +24,11 @@ import "google/cloud/aiplatform/v1beta1/batch_prediction_job.proto";
 import "google/cloud/aiplatform/v1beta1/custom_job.proto";
 import "google/cloud/aiplatform/v1beta1/data_labeling_job.proto";
 import "google/cloud/aiplatform/v1beta1/hyperparameter_tuning_job.proto";
+import "google/cloud/aiplatform/v1beta1/operation.proto";
 import "google/longrunning/operations.proto";
 import "google/protobuf/empty.proto";
 import "google/protobuf/field_mask.proto";
+import "google/protobuf/timestamp.proto";
 
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/machine_resources.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/machine_resources.proto
index e0acfd6e8..3cb131c24 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/machine_resources.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/machine_resources.proto
@@ -27,41 +27,13 @@ option java_package = "com.google.cloud.aiplatform.v1beta1";
 
 // Specification of a single machine.
 message MachineSpec {
-  // Immutable. The type of the machine.
-  // Following machine types are supported:
+  // Immutable. The type of the machine. For the machine types supported for prediction,
+  // see https://tinyurl.com/aip-docs/predictions/machine-types.
+  // For machine types supported for creating a custom training job, see
+  // https://tinyurl.com/aip-docs/training/configure-compute.
   //
-  // * `n1-standard-2`
-  //
-  // * `n1-standard-4`
-  //
-  // * `n1-standard-8`
-  //
-  // * `n1-standard-16`
-  //
-  // * `n1-standard-32`
-  //
-  // * `n1-highmem-2`
-  //
-  // * `n1-highmem-4`
-  //
-  // * `n1-highmem-8`
-  //
-  // * `n1-highmem-16`
-  //
-  // * `n1-highmem-32`
-  //
-  // * `n1-highcpu-2`
-  //
-  // * `n1-highcpu-4`
-  //
-  // * `n1-highcpu-8`
-  //
-  // * `n1-highcpu-16`
-  //
-  // * `n1-highcpu-32`
-  //
-  // When used for [DeployedMode][] this field is optional and the default value
-  // is `n1-standard-2`. If used for [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
+  // For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this field is optional, and the default
+  // value is `n1-standard-2`. For [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or as part of
   // [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec] this field is required.
   string machine_type = 1 [(google.api.field_behavior) = IMMUTABLE];
 
@@ -157,7 +129,7 @@ message ResourcesConsumed {
 
 // Represents the spec of disk options.
 message DiskSpec {
-  // Type of the boot disk (default is "pd-standard").
+  // Type of the boot disk (default is "pd-ssd").
   // Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or
   // "pd-standard" (Persistent Disk Hard Disk Drive).
   string boot_disk_type = 1;
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migratable_resource.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migratable_resource.proto
index d0b0e9cf9..411105027 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migratable_resource.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migratable_resource.proto
@@ -54,6 +54,7 @@ message MigratableResource {
     // The ml.googleapis.com endpoint that this model Version currently lives
     // in.
     // Example values:
+    //
     // * ml.googleapis.com
     // * us-centrall-ml.googleapis.com
     // * europe-west4-ml.googleapis.com
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migration_service.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migration_service.proto
index 273eb9a26..e96f96e2f 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migration_service.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/migration_service.proto
@@ -25,6 +25,7 @@ import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/migratable_resource.proto";
 import "google/cloud/aiplatform/v1beta1/operation.proto";
 import "google/longrunning/operations.proto";
+import "google/rpc/status.proto";
 
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
 option java_multiple_files = true;
@@ -83,6 +84,17 @@ message SearchMigratableResourcesRequest {
 
   // The standard page token.
   string page_token = 3;
+
+  // Supported filters are:
+  // * Resource type: For a specific type of MigratableResource.
+  //   * `ml_engine_model_version:*`
+  //   * `automl_model:*`,
+  //   * `automl_dataset:*`
+  //   * `data_labeling_dataset:*`.
+  // * Migrated or not: Filter migrated resource or not by last_migrate_time.
+  //   * `last_migrate_time:*` will filter migrated resources.
+  //   * `NOT last_migrate_time:*` will filter not yet migrated resource.
+  string filter = 4;
 }
 
 // Response message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources].
@@ -265,6 +277,35 @@ message MigrateResourceResponse {
 
 // Runtime operation information for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].
 message BatchMigrateResourcesOperationMetadata {
+  // Represents a partial result in batch migration opreation for one
+  // [MigrateResourceRequest][google.cloud.aiplatform.v1beta1.MigrateResourceRequest].
+  message PartialResult {
+    // If the resource's migration is ongoing, none of the result will be set.
+    // If the resource's migration is finished, either error or one of the
+    // migrated resource name will be filled.
+    oneof result {
+      // The error result of the migration request in case of failure.
+      google.rpc.Status error = 2;
+
+      // Migrated model resource name.
+      string model = 3 [(google.api.resource_reference) = {
+                          type: "aiplatform.googleapis.com/Model"
+                        }];
+
+      // Migrated dataset resource name.
+      string dataset = 4 [(google.api.resource_reference) = {
+                            type: "aiplatform.googleapis.com/Dataset"
+                          }];
+    }
+
+    // It's the same as the value in
+    // [MigrateResourceRequest.migrate_resource_requests][].
+    MigrateResourceRequest request = 1;
+  }
+
   // The common part of the operation metadata.
   GenericOperationMetadata generic_metadata = 1;
+
+  // Partial results that reflects the latest migration operation progress.
+  repeated PartialResult partial_results = 2;
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model.proto
index 6e557a620..e69027e90 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model.proto
@@ -20,6 +20,7 @@ import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
 import "google/cloud/aiplatform/v1beta1/dataset.proto";
 import "google/cloud/aiplatform/v1beta1/deployed_model_ref.proto";
+import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/env_var.proto";
 import "google/cloud/aiplatform/v1beta1/explanation.proto";
 import "google/protobuf/struct.proto";
@@ -196,6 +197,10 @@ message Model {
   // Each instance is a single row in BigQuery. Uses
   // [BigQuerySource][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig.bigquery_source].
   //
+  // * `file-list`
+  // Each line of the file is the location of an instance to process, uses
+  // `gcs_source` field of the
+  // [InputConfig][google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig] object.
   //
   //
   // If this Model doesn't support any of these formats it means it cannot be
@@ -248,18 +253,20 @@ message Model {
   // Model could have been deployed to Endpoints in different Locations.
   repeated DeployedModelRef deployed_models = 15 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The default explanation specification for this Model.
+  // The default explanation specification for this Model.
   //
-  // Model can be used for [requesting explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain]
-  // after being [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+  // The Model can be used for [requesting
+  // explanation][PredictionService.Explain] after being
+  // [deployed][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel] iff it is populated.
+  // The Model can be used for [batch
+  // explanation][BatchPredictionJob.generate_explanation] iff it is populated.
   //
   // All fields of the explanation_spec can be overridden by
   // [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of
-  // [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model].
-  //
-  // This field is populated only for tabular AutoML Models.
-  // Specifying it with [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] is not supported.
-  ExplanationSpec explanation_spec = 23 [(google.api.field_behavior) = OUTPUT_ONLY];
+  // [DeployModelRequest.deployed_model][google.cloud.aiplatform.v1beta1.DeployModelRequest.deployed_model], or
+  // [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec] of
+  // [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].
+  ExplanationSpec explanation_spec = 23;
 
   // Used to perform consistent read-modify-write updates. If not set, a blind
   // "overwrite" update happens.
@@ -273,6 +280,10 @@ message Model {
   //
   // See https://goo.gl/xmQnxf for more information and examples of labels.
   map<string, string> labels = 17;
+
+  // Customer-managed encryption key spec for a Model. If set, this
+  // Model and all sub-resources of this Model will be secured by this key.
+  EncryptionSpec encryption_spec = 24;
 }
 
 // Contains the schemata used in Model's predictions and explanations via
@@ -469,9 +480,8 @@ message ModelContainerSpec {
   //
   // For example, if you set this field to `/foo`, then when AI Platform
   // receives a prediction request, it forwards the request body in a POST
-  // request to the following URL on the container:
-  // <code>localhost:<var>PORT</var>/foo</code>
-  // <var>PORT</var> refers to the first value of this `ModelContainerSpec`'s
+  // request to the `/foo` path on the port of your container specified by the
+  // first value of this `ModelContainerSpec`'s
   // [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
   //
   // If you don't specify this field, it defaults to the following value when
@@ -499,9 +509,8 @@ message ModelContainerSpec {
   // checks](https://tinyurl.com/cust-cont-reqs#checks).
   //
   // For example, if you set this field to `/bar`, then AI Platform
-  // intermittently sends a GET request to the following URL on the container:
-  // <code>localhost:<var>PORT</var>/bar</code>
-  // <var>PORT</var> refers to the first value of this `ModelContainerSpec`'s
+  // intermittently sends a GET request to the `/bar` path on the port of your
+  // container specified by the first value of this `ModelContainerSpec`'s
   // [ports][google.cloud.aiplatform.v1beta1.ModelContainerSpec.ports] field.
   //
   // If you don't specify this field, it defaults to the following value when
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_evaluation.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_evaluation.proto
index 282e8da2b..d91d4b181 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_evaluation.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_evaluation.proto
@@ -36,6 +36,19 @@ message ModelEvaluation {
     pattern: "projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}"
   };
 
+  message ModelEvaluationExplanationSpec {
+    // Explanation type.
+    //
+    // For AutoML Image Classification models, possible values are:
+    //
+    //   * `image-integrated-gradients`
+    //   * `image-xrai`
+    string explanation_type = 1;
+
+    // Explanation spec details.
+    ExplanationSpec explanation_spec = 2;
+  }
+
   // Output only. The resource name of the ModelEvaluation.
   string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
@@ -63,4 +76,8 @@ message ModelEvaluation {
   // is evaluated with explanations, and only for AutoML tabular Models.
   //
   ModelExplanation model_explanation = 8 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining
+  // the predicted values on the evaluated data.
+  repeated ModelEvaluationExplanationSpec explanation_specs = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_service.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_service.proto
index 5d7357b60..219ed2f90 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_service.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/model_service.proto
@@ -191,7 +191,21 @@ message ListModelsRequest {
     }
   ];
 
-  // The standard list filter.
+  // An expression for filtering the results of the request. For field names
+  // both snake_case and camelCase are supported.
+  //
+  //   * `model` supports = and !=. `model` represents the Model ID,
+  //     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
+  //   * `display_name` supports = and !=
+  //   * `labels` supports general map functions that is:
+  //     * `labels.key=value` - key:value equality
+  //     * `labels.key:* or labels:key - key existence
+  //     * A key including a space must be quoted. `labels."a key"`.
+  //
+  // Some examples:
+  //   * `model=1234`
+  //   * `displayName="myDisplayName"`
+  //   * `labels.myKey="myValue"`
   string filter = 2;
 
   // The standard list page size.
@@ -224,10 +238,7 @@ message UpdateModelRequest {
 
   // Required. The update mask applies to the resource.
   // For the `FieldMask` definition, see
-  //
-  // [FieldMask](https:
-  // //developers.google.com/protocol-buffers
-  // // /docs/reference/google.protobuf#fieldmask).
+  // [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
   google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
 }
 
@@ -253,20 +264,20 @@ message ExportModelRequest {
     // supported formats is used by default.
     string export_format_id = 1;
 
-    // The Google Cloud Storage location where the Model artifact is to be
+    // The Cloud Storage location where the Model artifact is to be
     // written to. Under the directory given as the destination a new one with
     // name "`model-export-<model-display-name>-<timestamp-of-export-call>`",
     // where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
     // will be created. Inside, the Model and any of its supporting files
     // will be written.
-    // This field should only be set when
-    // [Models.supported_export_formats.exportable_contents] contains ARTIFACT.
+    // This field should only be set when the `exportableContent` field of the
+    // [Model.supported_export_formats] object contains `ARTIFACT`.
     GcsDestination artifact_destination = 3;
 
     // The Google Container Registry or Artifact Registry uri where the
     // Model container image will be copied to.
-    // This field should only be set when
-    // [Models.supported_export_formats.exportable_contents] contains IMAGE.
+    // This field should only be set when the `exportableContent` field of the
+    // [Model.supported_export_formats] object contains `IMAGE`.
     ContainerRegistryDestination image_destination = 4;
   }
 
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/prediction_service.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/prediction_service.proto
index d28f1e6f4..d20ed3899 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/prediction_service.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/prediction_service.proto
@@ -133,6 +133,16 @@ message ExplainRequest {
   // [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
   google.protobuf.Value parameters = 4;
 
+  // If specified, overrides the
+  // [explanation_spec][google.cloud.aiplatform.v1beta1.DeployedModel.explanation_spec] of the DeployedModel.
+  // Can be used for explaining prediction results with different
+  // configurations, such as:
+  //  - Explaining top-5 predictions results as opposed to top-1;
+  //  - Increasing path count or step count of the attribution methods to reduce
+  //    approximate errors;
+  //  - Using different baselines for explaining the prediction results.
+  ExplanationSpecOverride explanation_spec_override = 5;
+
   // If specified, this ExplainRequest will be served by the chosen
   // DeployedModel, overriding [Endpoint.traffic_split][google.cloud.aiplatform.v1beta1.Endpoint.traffic_split].
   string deployed_model_id = 3;
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/study.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/study.proto
index 210c9eb7f..2d0a8f878 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/study.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/study.proto
@@ -21,6 +21,7 @@ import "google/api/resource.proto";
 import "google/protobuf/duration.proto";
 import "google/protobuf/struct.proto";
 import "google/protobuf/timestamp.proto";
+import "google/protobuf/wrappers.proto";
 import "google/api/annotations.proto";
 
 option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
@@ -32,6 +33,11 @@ option java_package = "com.google.cloud.aiplatform.v1beta1";
 // that has been or will be evaluated, along with the objective metrics got by
 // running the Trial.
 message Trial {
+  option (google.api.resource) = {
+    type: "aiplatform.googleapis.com/Trial"
+    pattern: "projects/{project}/locations/{location}/studies/{study}/trials/{trial}"
+  };
+
   // A message representing a parameter to be tuned.
   message Parameter {
     // Output only. The ID of the parameter. The parameter should be defined in
@@ -265,6 +271,48 @@ message StudySpec {
     RANDOM_SEARCH = 3;
   }
 
+  // Describes the noise level of the repeated observations.
+  //
+  // "Noisy" means that the repeated observations with the same Trial parameters
+  // may lead to different metric evaluations.
+  enum ObservationNoise {
+    // The default noise level chosen by the AI Platform service.
+    OBSERVATION_NOISE_UNSPECIFIED = 0;
+
+    // AI Platform Vizier assumes that the objective function is (nearly)
+    // perfectly reproducible, and will never repeat the same Trial
+    // parameters.
+    LOW = 1;
+
+    // AI Platform Vizier will estimate the amount of noise in metric
+    // evaluations, it may repeat the same Trial parameters more than once.
+    HIGH = 2;
+  }
+
+  // This indicates which measurement to use if/when the service automatically
+  // selects the final measurement from previously reported intermediate
+  // measurements. Choose this based on two considerations:
+  //  A) Do you expect your measurements to monotonically improve?
+  //     If so, choose LAST_MEASUREMENT. On the other hand, if you're in a
+  //     situation where your system can "over-train" and you expect the
+  //     performance to get better for a while but then start declining,
+  //     choose BEST_MEASUREMENT.
+  //  B) Are your measurements significantly noisy and/or irreproducible?
+  //     If so, BEST_MEASUREMENT will tend to be over-optimistic, and it
+  //     may be better to choose LAST_MEASUREMENT.
+  //  If both or neither of (A) and (B) apply, it doesn't matter which
+  //  selection type is chosen.
+  enum MeasurementSelectionType {
+    // Will be treated as LAST_MEASUREMENT.
+    MEASUREMENT_SELECTION_TYPE_UNSPECIFIED = 0;
+
+    // Use the last measurement reported.
+    LAST_MEASUREMENT = 1;
+
+    // Use the best measurement reported.
+    BEST_MEASUREMENT = 2;
+  }
+
   // Required. Metric specs for the Study.
   repeated MetricSpec metrics = 1 [(google.api.field_behavior) = REQUIRED];
 
@@ -273,6 +321,14 @@ message StudySpec {
 
   // The search algorithm specified for the Study.
   Algorithm algorithm = 3;
+
+  // The observation noise level of the study.
+  // Currently only supported by the Vizier service. Not supported by
+  // HyperparamterTuningJob or TrainingPipeline.
+  ObservationNoise observation_noise = 6;
+
+  // Describe which measurement selection type will be used
+  MeasurementSelectionType measurement_selection_type = 7;
 }
 
 // A message representing a Measurement of a Trial. A Measurement contains
diff --git a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/training_pipeline.proto b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/training_pipeline.proto
index 26fbd287f..26568518e 100644
--- a/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/training_pipeline.proto
+++ b/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/training_pipeline.proto
@@ -18,6 +18,7 @@ package google.cloud.aiplatform.v1beta1;
 
 import "google/api/field_behavior.proto";
 import "google/api/resource.proto";
+import "google/cloud/aiplatform/v1beta1/encryption_spec.proto";
 import "google/cloud/aiplatform/v1beta1/io.proto";
 import "google/cloud/aiplatform/v1beta1/machine_resources.proto";
 import "google/cloud/aiplatform/v1beta1/manual_batch_tuning_parameters.proto";
@@ -79,7 +80,7 @@ message TrainingPipeline {
   // pipeline's [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] contains `metadata` object.
   google.protobuf.Value training_task_metadata = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Describes the Model that may be uploaded (via [ModelService.UploadMode][])
+  // Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
   // by this TrainingPipeline. The TrainingPipeline's
   // [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition] should make clear whether this Model
   // description should be populated, and if there are any special requirements
@@ -125,6 +126,13 @@ message TrainingPipeline {
   //
   // See https://goo.gl/xmQnxf for more information and examples of labels.
   map<string, string> labels = 15;
+
+  // Customer-managed encryption key spec for a TrainingPipeline. If set, this
+  // TrainingPipeline will be secured by this key.
+  //
+  // Note: Model trained by this TrainingPipeline is also secured by this key if
+  // [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec] is not set separately.
+  EncryptionSpec encryption_spec = 18;
 }
 
 // Specifies AI Platform owned input data to be used for training, and
@@ -159,7 +167,7 @@ message InputDataConfig {
   //   * For non-tabular data: "jsonl".
   //   * For tabular data: "csv" and "bigquery".
   //
-  // Following AI Platform environment variables will be passed to containers
+  // The following AI Platform environment variables are passed to containers
   // or python modules of the training task when this field is set:
   //
   // * AIP_DATA_FORMAT : Exported data format.
@@ -167,43 +175,50 @@ message InputDataConfig {
   // * AIP_VALIDATION_DATA_URI : Sharded exported validation data uris.
   // * AIP_TEST_DATA_URI : Sharded exported test data uris.
   oneof destination {
-    // The Google Cloud Storage location where the training data is to be
-    // written to. In the given directory a new directory will be created with
+    // The Cloud Storage location where the training data is to be
+    // written to. In the given directory a new directory is created with
     // name:
     // `dataset-<dataset-id>-<annotation-type>-<timestamp-of-training-call>`
     // where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
-    // All training input data will be written into that directory.
+    // All training input data is written into that directory.
     //
-    // The AI Platform environment variables representing Google Cloud Storage
-    // data URIs will always be represented in the Google Cloud Storage wildcard
+    // The AI Platform environment variables representing Cloud Storage
+    // data URIs are represented in the Cloud Storage wildcard
     // format to support sharded data. e.g.: "gs://.../training-*.jsonl"
     //
     // * AIP_DATA_FORMAT = "jsonl" for non-tabular data, "csv" for tabular data
-    // * AIP_TRAINING_DATA_URI  =
+    // * AIP_TRAINING_DATA_URI =
     //
     // "gcs_destination/dataset-<dataset-id>-<annotation-type>-<time>/training-*.${AIP_DATA_FORMAT}"
+    //
     // * AIP_VALIDATION_DATA_URI =
     //
     // "gcs_destination/dataset-<dataset-id>-<annotation-type>-<time>/validation-*.${AIP_DATA_FORMAT}"
+    //
     // * AIP_TEST_DATA_URI =
     //
     // "gcs_destination/dataset-<dataset-id>-<annotation-type>-<time>/test-*.${AIP_DATA_FORMAT}"
     GcsDestination gcs_destination = 8;
 
+    // Only applicable to custom training with tabular Dataset with BigQuery
+    // source.
+    //
     // The BigQuery project location where the training data is to be written
     // to. In the given project a new dataset is created with name
     // `dataset_<dataset-id>_<annotation-type>_<timestamp-of-training-call>`
     // where timestamp is in YYYY_MM_DDThh_mm_ss_sssZ format. All training
-    // input data will be written into that dataset. In the dataset three
-    // tables will be created, `training`, `validation` and `test`.
+    // input data is written into that dataset. In the dataset three
+    // tables are created, `training`, `validation` and `test`.
     //
     // * AIP_DATA_FORMAT = "bigquery".
     // * AIP_TRAINING_DATA_URI  =
     //
     // "bigquery_destination.dataset_<dataset-id>_<annotation-type>_<time>.training"
+    //
     // * AIP_VALIDATION_DATA_URI =
     //
     // "bigquery_destination.dataset_<dataset-id>_<annotation-type>_<time>.validation"
+    //
     // * AIP_TEST_DATA_URI =
     // "bigquery_destination.dataset_<dataset-id>_<annotation-type>_<time>.test"
     BigQueryDestination bigquery_destination = 10;
@@ -218,7 +233,7 @@ message InputDataConfig {
   // and choose from.
   string dataset_id = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Only applicable to Datasets that have DataItems and Annotations.
+  // Applicable only to Datasets that have DataItems and Annotations.
   //
   // A filter on Annotations of the Dataset. Only Annotations that both
   // match this filter and belong to DataItems not ignored by the split method
@@ -230,16 +245,14 @@ message InputDataConfig {
   // a single DataItem.
   string annotations_filter = 6;
 
-  // Only applicable to custom training.
-  //
-  // Google Cloud Storage URI points to a YAML file describing annotation
-  // schema. The schema is defined as an OpenAPI 3.0.2 [Schema Object](
+  // Applicable only to custom training with Datasets that have DataItems and
+  // Annotations.
   //
-  // https:
-  // //github.com/OAI/OpenAPI-Specification/b
-  // // lob/master/versions/3.0.2.md#schema-object)
+  // Cloud Storage URI that points to a YAML file describing the annotation
+  // schema. The schema is defined as an OpenAPI 3.0.2
+  // [Schema Object](https://tinyurl.com/y538mdwt#schema-object).
   // The schema files that can be used here are found in
-  // gs://google-cloud-aiplatform/schema/dataset/annotation/, note that the
+  // gs://google-cloud-aiplatform/schema/dataset/annotation/ , note that the
   // chosen schema must be consistent with
   // [metadata][google.cloud.aiplatform.v1beta1.Dataset.metadata_schema_uri] of the Dataset specified by
   // [dataset_id][google.cloud.aiplatform.v1beta1.InputDataConfig.dataset_id].
@@ -259,7 +272,7 @@ message InputDataConfig {
 // `test_fraction` may optionally be provided, they must sum to up to 1. If the
 // provided ones sum to less than 1, the remainder is assigned to sets as
 // decided by AI Platform. If none of the fractions are set, by default roughly
-// 80% of data will be used for training, 10% for validation, and 10% for test.
+// 80% of data is used for training, 10% for validation, and 10% for test.
 message FractionSplit {
   // The fraction of the input data that is to be used to train the Model.
   double training_fraction = 1;
@@ -276,12 +289,15 @@ message FractionSplit {
 // supported for Datasets containing DataItems.
 // If any of the filters in this message are to match nothing, then they can be
 // set as '-' (the minus sign).
+//
+// Supported only for unstructured Datasets.
+//
 message FilterSplit {
   // Required. A filter on DataItems of the Dataset. DataItems that match
   // this filter are used to train the Model. A filter with same syntax
   // as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
   // single DataItem is matched by more than one of the FilterSplit filters,
-  // then it will be assigned to the first set that applies to it in the
+  // then it is assigned to the first set that applies to it in the
   // training, validation, test order.
   string training_filter = 1 [(google.api.field_behavior) = REQUIRED];
 
@@ -289,7 +305,7 @@ message FilterSplit {
   // this filter are used to validate the Model. A filter with same syntax
   // as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
   // single DataItem is matched by more than one of the FilterSplit filters,
-  // then it will be assigned to the first set that applies to it in the
+  // then it is assigned to the first set that applies to it in the
   // training, validation, test order.
   string validation_filter = 2 [(google.api.field_behavior) = REQUIRED];
 
@@ -297,7 +313,7 @@ message FilterSplit {
   // this filter are used to test the Model. A filter with same syntax
   // as the one used in [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems] may be used. If a
   // single DataItem is matched by more than one of the FilterSplit filters,
-  // then it will be assigned to the first set that applies to it in the
+  // then it is assigned to the first set that applies to it in the
   // training, validation, test order.
   string test_filter = 3 [(google.api.field_behavior) = REQUIRED];
 }
diff --git a/synth.metadata b/synth.metadata
index 3b76567d4..a7cded8ce 100644
--- a/synth.metadata
+++ b/synth.metadata
@@ -307,6 +307,9 @@
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DeployedModelRefOrBuilder.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpec.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/DiskSpecOrBuilder.java",
+    "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpec.java",
+    "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecOrBuilder.java",
+    "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EncryptionSpecProto.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Endpoint.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointName.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/EndpointOrBuilder.java",
@@ -322,6 +325,8 @@
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Explanation.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadata.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOrBuilder.java",
+    "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverride.java",
+    "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataOverrideOrBuilder.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationMetadataProto.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationOrBuilder.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationParameters.java",
@@ -329,6 +334,8 @@
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationProto.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpec.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOrBuilder.java",
+    "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverride.java",
+    "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExplanationSpecOverrideOrBuilder.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportDataConfig.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportDataConfigOrBuilder.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ExportDataOperationMetadata.java",
@@ -533,6 +540,7 @@
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineOrBuilder.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrainingPipelineProto.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/Trial.java",
+    "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrialName.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/TrialOrBuilder.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployModelOperationMetadata.java",
     "proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/UndeployModelOperationMetadataOrBuilder.java",
@@ -721,6 +729,7 @@
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/dataset_service.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/deployed_model_ref.proto",
+    "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/encryption_spec.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/endpoint_service.proto",
     "proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/env_var.proto",