Key points

• MWAA runs Apache Airflow DAGs for scheduled dependencies, backfills, retries, and managed workflow operations.
• DAG code, task roles, network paths, logs, and per-task failure evidence remain part of the operating boundary.

Best-known use cases

• Orchestrate scheduled ETL dependencies with Apache Airflow DAGs.
• Coordinate Glue, EMR, and other AWS processing tasks in managed workflows.

What candidates often confuse it with

• MWAA preserves Airflow semantics; Step Functions uses AWS state machines and Glue workflows coordinate Glue-native work.

Key takeaway

Choose MWAA when the orchestration contract is an Airflow DAG with backfills and task dependencies.

Relevant exam tasks

• D1.3 — Task 1.3: Orchestrate data pipelines
• 1.3.1 — Use orchestration services to build workflows for data ETL pipelines (for example, Lambda, EventBridge, Amazon Managed Workflows for Apache Airflow [Amazon MWAA], AWS Step Functions, AWS Glue workflows).
• D3.1 — Task 3.1: Automate data processing by using AWS services
• 3.1.1 — Orchestrate data pipelines (for example, Amazon Managed Workflows for Apache Airflow [Amazon MWAA], AWS Step Functions).
• 3.1.2 — Troubleshoot Amazon managed workflows.

Learn more

• DEA-C01 in-scope services
• DEA-C01 Domain 1: Data Ingestion and Transformation
• DEA-C01 Domain 3: Data Operations and Support