Ai Feature Store Iam Binding Args
Import
For all import syntaxes, the "resource in question" can take any of the following forms:
projects/{{project}}/locations/{{region}}/featurestores/{{name}}
{{project}}/{{region}}/{{name}}
{{region}}/{{name}}
{{name}} Any variables not passed in the import command will be taken from the provider configuration. Vertex AI featurestore IAM resources can be imported using the resource identifiers, role, and member. IAM member imports use space-delimited identifiers: the resource in question, the role, and the member identity, e.g.
$ pulumi import gcp:vertex/aiFeatureStoreIamBinding:AiFeatureStoreIamBinding editor "projects/{{project}}/locations/{{region}}/featurestores/{{featurestore}} roles/viewer user:jane@example.com"
IAM binding imports use space-delimited identifiers: the resource in question and the role, e.g.
$ pulumi import gcp:vertex/aiFeatureStoreIamBinding:AiFeatureStoreIamBinding editor "projects/{{project}}/locations/{{region}}/featurestores/{{featurestore}} roles/viewer"
IAM policy imports use the identifier of the resource in question, e.g.
$ pulumi import gcp:vertex/aiFeatureStoreIamBinding:AiFeatureStoreIamBinding editor projects/{{project}}/locations/{{region}}/featurestores/{{featurestore}}
->Custom Roles If you're importing a IAM resource with a custom role, make sure to use the full name of the custom role, e.g. [projects/my-project|organizations/my-org]/roles/my-custom-role
.
Properties
Used to find the parent resource to bind the IAM policy to
The region of the dataset. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.