feat: add Vizier service to aiplatform v1 (#642)

* feat: add Vizier service to aiplatform v1

Committer: @dizcology
PiperOrigin-RevId: 394116440

Source-Link: googleapis/googleapis@67c780b

Source-Link: https://github.com/googleapis/googleapis-gen/commit/994d9a5bd781d10e8a40e8bdb036168008ffc3d7

* 🦉 Updates from OwlBot

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Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>

Author: gcf-owl-bot[bot]

google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/JobServiceClient.java

@@ -3230,7 +3230,23 @@ public final ListModelDeploymentMonitoringJobsPagedResponse listModelDeploymentM
    *
    * @param modelDeploymentMonitoringJob Required. The model monitoring configuration which replaces
    *     the resource on the server.
-   * @param updateMask Required. The update mask applies to the resource.
+   * @param updateMask Required. The update mask is used to specify the fields to be overwritten in
+   *     the ModelDeploymentMonitoringJob resource by the update. The fields specified in the
+   *     update_mask are relative to the resource, not the full request. A field will be overwritten
+   *     if it is in the mask. If the user does not provide a mask then only the non-empty fields
+   *     present in the request will be overwritten. Set the update_mask to `*` to override all
+   *     fields. For the objective config, the user can either provide the update mask for
+   *     model_deployment_monitoring_objective_configs or any combination of its nested fields, such
+   *     as: model_deployment_monitoring_objective_configs.objective_config.training_dataset.
+   *     <p>Updatable fields:
+   *     <p>&#42; `display_name` &#42; `model_deployment_monitoring_schedule_config` &#42;
+   *     `model_monitoring_alert_config` &#42; `logging_sampling_strategy` &#42; `labels` &#42;
+   *     `log_ttl` &#42; `enable_monitoring_pipeline_logs` . and &#42;
+   *     `model_deployment_monitoring_objective_configs` . or &#42;
+   *     `model_deployment_monitoring_objective_configs.objective_config.training_dataset` &#42;
+   *     `model_deployment_monitoring_objective_configs.objective_config.training_prediction_skew_detection_config`
+   *     &#42;
+   *     `model_deployment_monitoring_objective_configs.objective_config.prediction_drift_detection_config`
    * @throws com.google.api.gax.rpc.ApiException if the remote call fails
    */
   public final OperationFuture<