AWS Certified Data Engineer Associate DEA-C01 Practice Question

A company needs a serverless orchestration solution for a daily pipeline that performs three steps: run an AWS Glue ETL job, submit an Amazon Redshift Data API SQL statement to load the results, and send a final Amazon SNS notification. The solution must provide built-in retry logic, parallel branch support, and detailed execution logging without managing infrastructure. Which AWS service should the data engineering team use to automate this pipeline end-to-end?

  • Build the pipeline as an AWS Glue Workflow that links the ETL job to a crawler and a custom Redshift step, then sends an SNS message.

  • Use an Amazon EventBridge rule to trigger the Glue job, followed by a chained Lambda function that runs the Redshift COPY command and publishes to SNS.

  • Deploy a DAG on Amazon Managed Workflows for Apache Airflow to call the Glue job, execute the Redshift load, and issue the SNS notification.

  • Create a workflow in AWS Step Functions that invokes the Glue job, uses the Redshift Data API integration, and finishes with an SNS Publish state.

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