Crucial Exams

AWS Certified Data Engineer Associate DEA-C01 Practice Question

A company ingests clickstream data into Amazon S3, transforms the data with AWS Glue ETL jobs, and then loads the results into Amazon Redshift. Auditors require an automatically generated, end-to-end lineage diagram that shows the raw S3 objects, the Glue transformation job, and the destination Redshift table. The data engineering team wants a fully managed AWS solution that provides this visual lineage with minimal configuration and no custom code. Which approach meets these requirements?

  • Publish the S3 objects and Redshift table to Amazon DataZone, enable automated lineage capture for AWS Glue and Amazon Redshift, and view the lineage graph in the Amazon DataZone console.

  • Modify the ETL script to emit lineage events to Amazon CloudWatch Logs and create an AWS Lambda function that parses the logs and generates lineage diagrams.

  • Catalog the S3 buckets and Redshift table in the AWS Glue Data Catalog and rely on the Glue console lineage view to display the data flow.

  • Run an AWS Glue crawler, export the catalog metadata to Amazon Neptune, and build a custom visualization layer on top of the graph database.

AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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