DEA-C01 Mock Exams & Practice Exam Questions | AWS Certified Data Engineer - Associate
DEA-C01 mock exams and practice exam questions for AWS Certified Data Engineer - Associate. Timed practice sets and detailed explanations in the AWS Exam Prep app (web, iOS, Android).
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Tip: DEA-C01 is 65 questions / 130 minutes. Start with task drills, then do mixed sets to build transfer across ingestion, storage, operations, and governance.
Suggested progression
Task drills (daily): 20–25 questions focused on one task.
Languages offered: English, Japanese, Korean, Simplified Chinese
Tip: DEA-C01 is “end-to-end data platform” thinking: ingestion patterns, ETL choices, storage and modeling trade-offs, operations/monitoring, and security/governance.
Domain breakdown (weights)
Domain 1: Data Ingestion and Transformation — 34%
Domain 2: Data Store Management — 26%
Domain 3: Data Operations and Support — 22%
Domain 4: Data Security and Governance — 18%
What the exam emphasizes (high level)
Expect scenario-driven items where you choose the best answer for:
Ingesting data (batch + streaming), handling triggers/schedules, and designing replayable pipelines
Transforming and processing data using appropriate AWS services (and recognizing performance/cost trade-offs)
Selecting data stores, designing schemas, managing catalogs/partitions, and handling lifecycle policies
Monitoring and troubleshooting pipelines, ensuring data quality, and optimizing runtime/cost
Implementing authentication/authorization, encryption/masking, logging for audit, and privacy/governance controls
Who should take DEA-C01
This exam is a strong fit for:
Data engineers and analytics engineers building pipelines on AWS
Platform engineers supporting data lakes/warehouses and orchestration
Data architects who need a validated AWS-focused pipeline + governance skill set
Recommended background (AWS guidance):
~2–3 years of experience in data engineering or data architecture
At least 1–2 years of hands-on experience with AWS services
Work the Syllabus task-by-task; drill immediately after each task.
Keep a miss log: convert misses into one-liner rules (“EventBridge for schedules + triggers”, “Lake Formation for fine-grained permissions”, “Parquet + partitions for Athena cost/perf”).
Final 1–2 weeks: mixed sets + at least a couple timed runs; review every miss.