AWS Certified AI Practitioner AIF-C01 Practice Question
A data scientist must protect sensitive training data stored on the attached ML storage volumes of SageMaker training instances. Which action meets the encryption requirement with minimal additional configuration?
Enable AWS Shield Standard to protect the training instances.
Turn on Amazon S3 Transfer Acceleration for the training data bucket.
Specify an AWS Key Management Service (KMS) key to enable Amazon SageMaker volume encryption.
Move the training data to Amazon S3 Glacier Deep Archive before starting the job.
Amazon SageMaker lets you encrypt the EBS volume that backs a training instance by specifying an AWS Key Management Service (KMS) key. SageMaker uses the key to perform transparent, at-rest encryption of the ML storage volume, ensuring the training data is protected without changes to the code or workflow. S3 Transfer Acceleration only improves transfer speed and provides no volume encryption. AWS Shield Standard mitigates DDoS attacks and does not encrypt storage. Placing data in S3 Glacier Deep Archive is meant for long-term archival and does not affect how data is stored on the training volume. Therefore, providing a KMS key for SageMaker volume encryption is the correct solution.
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AWS Certified AI Practitioner AIF-C01
Security, Compliance, and Governance for AI Solutions
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