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AWS Certified Data Engineer Associate DEA-C01 Practice Question

An organization stores datasets in the S3 bucket "analytics-bkt". AWS Glue jobs assume GlueJobRole and Athena queries run under AthenaRole. GlueJobRole must write only to processed/, while AthenaRole must read from processed/ but not list or access other objects. Using policy-based authorization and least privilege, which approach needs the fewest managed policies or resources?

  • Create two S3 Access Points, one for each role, with policies restricting operations to the processed/ prefix; keep Block Public Access enabled on the bucket.

  • Use S3 object ACLs to grant GlueJobRole write permission and AthenaRole read permission on objects under the processed/ prefix, and disable the bucket policy.

  • Attach one bucket policy to analytics-bkt that grants GlueJobRole s3:PutObject on processed/*, grants AthenaRole s3:GetObject and ListBucket limited to the processed/ prefix, and denies any other S3 actions for either role.

  • Attach separate inline IAM identity policies to GlueJobRole and AthenaRole granting their required S3 actions on analytics-bkt; leave the bucket without a bucket policy.

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