Crucial Exams

AWS Certified Data Engineer Associate DEA-C01 Practice Question

An analytics team receives new CSV files each night in the s3://sales/raw/ prefix. They must run a PySpark script that cleanses the data and writes partitioned Parquet files to s3://sales/curated/. The solution must 1) run automatically on a fixed schedule, 2) avoid reprocessing files that have already been converted, and 3) minimize infrastructure management. Which approach meets these requirements?

  • Use an Amazon EMR cluster launched each night by an AWS Lambda function, run the PySpark script as a step, then terminate the cluster.

  • Configure an AWS Glue Spark job that reads the raw prefix, enable job bookmarks, and invoke the job nightly with an Amazon EventBridge cron schedule.

  • Create an Amazon Athena scheduled query that uses CTAS to read the CSV files and write Parquet output to the curated prefix.

  • Load the CSV files into Amazon Redshift with the COPY command and run SQL transformations through the Redshift Scheduler.

AWS Certified Data Engineer Associate DEA-C01
Data Operations and Support
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