AWS Certified Data Engineer Associate DEA-C01 Practice Question

A data engineering team runs a managed Apache Airflow environment on Amazon MWAA to orchestrate nightly ETL pipelines. Company policy states that no task may use the MWAA execution role; each task must assume a job-specific IAM role automatically. The team wants to satisfy the policy without refactoring the existing DAG code. Which solution will meet these requirements with the LEAST operational overhead?

  • Transform each task into an AWS Lambda function that first calls STS:AssumeRole and then performs the workload.

  • Edit the aws_default Airflow connection in the MWAA environment and set the role_arn extra field to the IAM role that the pipeline should assume.

  • Create a new Docker image that includes custom Airflow configuration with job-specific credentials and attach it to the MWAA environment.

  • Store long-lived access keys for each job-specific IAM user in separate Airflow connections and reference them from every task.

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