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AWS Certified Data Engineer Associate DEA-C01 Practice Question

An AWS Glue ETL job running in Account A must write Parquet files to an Amazon S3 data lake owned by Account B. Security policy states that data must be encrypted at rest with a customer-managed KMS key that resides in Account B. Which approach meets the requirement while following the principle of least privilege?

  • Modify the Glue script to perform client-side encryption with the AWS Encryption SDK, upload objects with the x-amz-server-side-encryption: AES256 header, and store the data key in AWS Secrets Manager.

  • Configure the Glue job to use SSE-S3 for all writes, relying on Amazon S3 automatic encryption without additional KMS permissions.

  • Create a customer-managed KMS key in Account B, update the key policy to allow Account A's Glue execution role kms:Encrypt and kms:GenerateDataKey*, configure the job's security configuration for SSE-KMS with the key's full ARN, and grant the role PutObject permission on the bucket.

  • Enable default bucket encryption on the data-lake bucket with the AWS managed key aws/s3 and add a bucket policy that permits the Glue role to upload objects.

AWS Certified Data Engineer Associate DEA-C01
Data Security and Governance
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