google_vertex_ai_datasets resource

Use the google_vertex_ai_datasets InSpec audit resource to to test a Google Cloud Dataset resource.

Examples

    describe google_vertex_ai_dataset(parent: ' ', region: ' ') do
    it { should exist }
  end

Properties that can be accessed from the google_vertex_ai_datasets resource:

See google_vertex_ai_dataset for more detailed information.

saved_queries: an array of google_vertex_ai_dataset saved_queries
create_times: an array of google_vertex_ai_dataset create_time
encryption_specs: an array of google_vertex_ai_dataset encryption_spec
names: an array of google_vertex_ai_dataset name
metadata: an array of google_vertex_ai_dataset metadata
etags: an array of google_vertex_ai_dataset etag
descriptions: an array of google_vertex_ai_dataset description
labels: an array of google_vertex_ai_dataset labels
metadata_schema_uris: an array of google_vertex_ai_dataset metadata_schema_uri
metadata_artifacts: an array of google_vertex_ai_dataset metadata_artifact
update_times: an array of google_vertex_ai_dataset update_time
data_item_counts: an array of google_vertex_ai_dataset data_item_count
display_names: an array of google_vertex_ai_dataset display_name

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