MLA-C01 · Question #154
A company is building an ML model by using Amazon SageMaker, AWS owned libraries, and open source libraries. The company must ensure that SageMaker does not collect metadata about usage and errors dur
The correct answer is C. Turn off the setting in the SageMaker domain to share metadata for console jobs. Opt out of. To prevent metadata collection in Amazon SageMaker, you must disable the metadata sharing setting in the SageMaker domain for console jobs and explicitly opt out of metadata collection for each training job submitted through the AWS CLI or SDKs. This ensures that neither usage no
Question
A company is building an ML model by using Amazon SageMaker, AWS owned libraries, and open source libraries. The company must ensure that SageMaker does not collect metadata about usage and errors during training. Which solution will meet these requirements?
Options
- AAssociate the SageMaker domain with a custom IAM role. Attach the role to a policy that denies
- BAdd an IAM role to the SageMaker domain to deny Amazon CloudWatch the permission to report
- CTurn off the setting in the SageMaker domain to share metadata for console jobs. Opt out of
- DSet a parameter to opt out of metadata collection for each training job that is submitted through
How the community answered
(16 responses)- B6% (1)
- C94% (15)
Explanation
To prevent metadata collection in Amazon SageMaker, you must disable the metadata sharing setting in the SageMaker domain for console jobs and explicitly opt out of metadata collection for each training job submitted through the AWS CLI or SDKs. This ensures that neither usage nor error metadata is collected during training.
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