AWS Certified Data Engineer Associate DEA-C01 Practice Question

An analytics team ingests clickstream logs into Amazon S3 and uses nightly AWS Glue Spark jobs to aggregate the data and load it into Amazon Redshift. Auditors must be able to trace each Redshift column back to the exact S3 objects that produced it to verify data accuracy. Which approach delivers automatic column-level data lineage with minimal operational overhead?

  • Run the transformations with AWS Glue ETL jobs and use the AWS Glue Data Catalog's built-in lineage features to track sources and targets.

  • Attach custom S3 object tags that identify lineage and propagate the tags through each Glue job using job parameters.

  • Schedule Amazon Inspector assessments of the Redshift cluster to generate data provenance reports.

  • Enable AWS CloudTrail data events for S3 and Redshift and analyze the logs in Amazon Athena to reconstruct lineage.

AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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