Crucial Exams

AWS Certified Data Engineer Associate DEA-C01 Practice Question

A data engineering team runs a daily pipeline that starts an AWS Glue crawler to catalog new S3 data, runs an AWS Glue ETL job, and then loads the curated data into an Amazon Redshift cluster. The team wants to minimize code, gain native retry logic, and monitor state and execution history in one place. Which solution meets these requirements with the least operational overhead?

  • Create an AWS Step Functions state machine that invokes the Glue crawler, then the Glue job, and finally a Redshift data API call, and trigger the state machine with an EventBridge schedule.

  • Set up a cron job on an Amazon EC2 instance that uses the AWS CLI to run the Glue crawler, the Glue job, and the Redshift COPY command sequentially.

  • Chain three AWS Lambda functions by using Amazon EventBridge rules to invoke each function after the previous one completes.

  • Deploy an Amazon MWAA environment and author a DAG that calls the Glue crawler and job followed by a Redshift operator.

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