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AWS Certified Data Engineer Associate DEA-C01 Practice Question

Your company gets JSON clickstream files in Amazon S3 every 5 minutes. You need to automate a pipeline that 1) runs an AWS Glue job to convert the data to partitioned Parquet and 2) runs an Amazon Athena query to create a daily aggregate. The workflow must include retries, conditional branching, a visual editor, no server management, and low operational overhead. Which solution meets these needs?

  • Create AWS Glue event triggers that start the ETL job on each S3 PUT and use an S3 event to invoke a Lambda function that runs the Athena query.

  • Use Amazon EventBridge Scheduler to run the Glue job and the Athena query as separate cron schedules.

  • Configure AWS Step Functions to invoke the Glue StartJobRun API, wait for completion, then call Athena StartQueryExecution.

  • Deploy Amazon MWAA and write an Apache Airflow DAG that calls the Glue job followed by the Athena query.

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