Policy: AWS > SageMaker > Training Job > Approved > Custom
Determine whether the AWS SageMaker training job is allowed to exist. This policy will be evaluated by the Approved control. If an AWS SageMaker training job is not approved, it will be subject to the action specified in the AWS > SageMaker > Training Job > Approved
policy. See Approved for more information.
Note: The policy value must be a string with a value of Approved
, Not approved
or Skip
, or in the form of YAML objects. The object(s) must contain the key result
with its value as Approved
or Not approved
. A custom title and message can also be added using the keys title
and message
respectively.
Resource Types
This policy targets the following resource types:
Primary Policy
This policy is used with the following primary policy:
Controls
Policy Specification
Default |
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Examples [YAML] |
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Category
In Your Workspace
Developers
- tmod:@turbot/turbot#/control/categories/resourceApproved
- tmod:@turbot/aws-sagemaker#/policy/types/trainingJobApprovedCustom
- turbot graphql policy-type --id "tmod:@turbot/aws-sagemaker#/policy/types/trainingJobApprovedCustom"
- turbot graphql policy-settings --filter "policyTypeId:tmod:@turbot/aws-sagemaker#/policy/types/trainingJobApprovedCustom"
Get Policy TypeGet Policy Settings
Category URI
Policy Type URI
GraphQL
CLI