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AWS Certified Data Engineer Associate DEA-C01 Practice Question

Your data engineering team runs an AWS Glue ETL job that should read objects only from the s3://raw-data/projectA/ prefix and write output to s3://analytics/projectA/output/. No AWS managed policy provides this prefix-level control. Which approach best grants the Glue job role the least-privilege S3 permissions?

  • Attach the AWSGlueServiceRole managed policy and grant read and write access through bucket ACLs that list the Glue service principal.

  • Attach a customer managed IAM policy to the Glue job's execution role that allows s3:ListBucket on the raw-data bucket, s3:GetObject on arn:aws:s3:::raw-data/projectA/*, and s3:PutObject on arn:aws:s3:::analytics/projectA/output/*.

  • Attach the AmazonS3FullAccess managed policy to the Glue role and rely on an S3 gateway endpoint policy to restrict access to the required prefixes.

  • Register both buckets with AWS Lake Formation and assign the job role the data lake administrator permission set instead of using IAM policies.

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