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AWS Certified Data Engineer Associate DEA-C01 Practice Question

An on-premises PostgreSQL table that grows to 500 GB is updated daily. The data engineering team must copy only the rows that were not loaded during the previous run into an Amazon S3 data lake every night. The solution must automatically handle new columns added to the source table and require the least ongoing maintenance. Which approach meets these requirements?

  • Schedule an AWS Glue crawler to crawl the PostgreSQL database nightly, then use an EventBridge rule to export the entire table with the psql utility to S3 and repartition the data with an EMR cluster.

  • Use AWS DMS in full-load plus CDC mode to replicate the table to S3, stopping and restarting the task each night, and catalog the files with AWS Glue.

  • Trigger a Lambda function with EventBridge that queries rows newer than the previous day and writes them to S3 as CSV files, updating the function code whenever the source schema changes.

  • Create an AWS Glue job that reads the PostgreSQL table through a Glue JDBC connection, enable job bookmarks with the last_updated column as the bookmark key, and write the dynamic frame to S3 in Parquet format.

AWS Certified Data Engineer Associate DEA-C01
Data Ingestion and Transformation
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