Answers to common AWS Data Engineer Associate (DEA-C01) questions: difficulty, prerequisites, passing score, study time, what services to know, and how to prep efficiently.
ETL: Extract, transform, and load workflow for moving and reshaping data into a target system.
CDC: Change data capture, where inserts, updates, and deletes are emitted as change events for downstream processing.
Data lake: Centralized storage pattern that keeps raw and curated data available for many analytics tools and downstream consumers.
DEA-C01 is an associate-level AWS certification focused on building and operating data pipelines and analytics platforms on AWS: ingestion, transformation, storage, monitoring/troubleshooting, and security/governance.
If you want the fastest orientation, start with the section overview and keep the official exam guide from Resources open while you study.
AWS uses a scaled score (100–1000). The minimum passing score is 720.
AWS describes the ideal candidate as having:
At a high level, you should be comfortable with:
Use the Cheat Sheet for service pickers and high-yield patterns.
Typical ranges vary by hands-on experience:
Pick a schedule you can sustain, then cycle between the Cheat Sheet and Resources so you keep service choice and official scope aligned.
Follow a loop: