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.

  • 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.

  • 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.

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