google_vertex_ai_model_deployment_monitoring_jobs resource

Use the google_vertex_ai_model_deployment_monitoring_jobs InSpec audit resource to to test a Google Cloud 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 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