A team is using SageMaker along with AWS-owned and open-source libraries. They must prevent SageMaker from collecting metadata about usage and errors during training. Which configuration meets this requirement?

The correct option addresses both console-initiated jobs and programmatic submissions. SageMaker has a domain-level setting to control metadata sharing for jobs launched directly from the SageMaker console. For jobs submitted via the AWS CLI, AWS SDKs (like Boto3), or the SageMaker Python SDK, you must explicitly opt out of metadata collection by setting a specific parameter (e.g., EnableInteractions to False in the ExperimentConfig for training jobs). The other options are incorrect because: Denying CloudWatch service usage logs or CloudWatch permissions for recording metadata does not prevent SageMaker itself from collecting and potentially sharing this metadata. CloudWatch is a monitoring service, not the source of SageMaker's metadata collection. Setting a parameter for every training job only covers programmatic submissions and misses console-initiated jobs, which also collect metadata by default.