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google_vertex_ai_model_deployment_monitoring_jobs.md

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About the google_vertex_ai_model_deployment_monitoring_jobs resource
gcp

Syntax

A google_vertex_ai_model_deployment_monitoring_jobs is used to test a Google ModelDeploymentMonitoringJob resource

Examples

    describe google_vertex_ai_model_deployment_monitoring_jobs(parent: "projects/#{gcp_project_id}/locations/#{model_deployment_monitoring_job['region']}", region: ' value_region') do
    it { should exist }
  end

Properties

Properties that can be accessed from the google_vertex_ai_model_deployment_monitoring_jobs resource:

See google_vertex_ai_model_deployment_monitoring_job.md for more detailed information

  • model_deployment_monitoring_objective_configs: an array of google_vertex_ai_model_deployment_monitoring_job model_deployment_monitoring_objective_configs
  • labels: an array of google_vertex_ai_model_deployment_monitoring_job labels
  • states: an array of google_vertex_ai_model_deployment_monitoring_job state
  • analysis_instance_schema_uris: an array of google_vertex_ai_model_deployment_monitoring_job analysis_instance_schema_uri
  • enable_monitoring_pipeline_logs: an array of google_vertex_ai_model_deployment_monitoring_job enable_monitoring_pipeline_logs
  • endpoints: an array of google_vertex_ai_model_deployment_monitoring_job endpoint
  • logging_sampling_strategies: an array of google_vertex_ai_model_deployment_monitoring_job logging_sampling_strategy
  • bigquery_tables: an array of google_vertex_ai_model_deployment_monitoring_job bigquery_tables
  • display_names: an array of google_vertex_ai_model_deployment_monitoring_job display_name
  • schedule_states: an array of google_vertex_ai_model_deployment_monitoring_job schedule_state
  • errors: an array of google_vertex_ai_model_deployment_monitoring_job error
  • model_monitoring_alert_configs: an array of google_vertex_ai_model_deployment_monitoring_job model_monitoring_alert_config
  • latest_monitoring_pipeline_metadata: an array of google_vertex_ai_model_deployment_monitoring_job latest_monitoring_pipeline_metadata
  • sample_predict_instances: an array of google_vertex_ai_model_deployment_monitoring_job sample_predict_instance
  • predict_instance_schema_uris: an array of google_vertex_ai_model_deployment_monitoring_job predict_instance_schema_uri
  • next_schedule_times: an array of google_vertex_ai_model_deployment_monitoring_job next_schedule_time
  • create_times: an array of google_vertex_ai_model_deployment_monitoring_job create_time
  • log_ttls: an array of google_vertex_ai_model_deployment_monitoring_job log_ttl
  • stats_anomalies_base_directories: an array of google_vertex_ai_model_deployment_monitoring_job stats_anomalies_base_directory
  • update_times: an array of google_vertex_ai_model_deployment_monitoring_job update_time
  • model_deployment_monitoring_schedule_configs: an array of google_vertex_ai_model_deployment_monitoring_job model_deployment_monitoring_schedule_config
  • encryption_specs: an array of google_vertex_ai_model_deployment_monitoring_job encryption_spec
  • names: an array of google_vertex_ai_model_deployment_monitoring_job name

Filter Criteria

This resource supports all of the above properties as filter criteria, which can be used with where as a block or a method.

GCP Permissions