AWS Certified Data Engineer Associate DEA-C01 Practice Question

Your team uses Amazon SageMaker Pipelines to orchestrate preprocessing, training, and model registration steps. Compliance reviewers ask for a programmatic way to answer questions such as "Which S3 dataset and processing job produced the model currently deployed to the fraud-detection endpoint?" Which AWS solution provides the fastest, fully managed way to capture and query this lineage without adding custom metadata stores?

  • Schedule AWS Glue crawlers after each pipeline step and use Glue Data Catalog versioning to derive lineage.

  • Deliver SageMaker job events to CloudTrail, store them in Amazon Athena, and join logs to reconstruct lineage.

  • Write pipeline metadata to a DynamoDB table from AWS Step Functions and query the table for lineage details.

  • Enable Amazon SageMaker ML lineage tracking and query the lineage graph with the SageMaker Lineage API.

AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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