AWS Certified Data Engineer — Associate (DEA-C01) Study Guide [165 Minute Read]

A First-Principles Approach to Data Engineering on AWS

Welcome to the AWS Certified Data Engineer — Associate (DEA-C01) Study Guide. This guide moves beyond surface-level memorization. It is designed to build a robust mental model of how data pipelines work on AWS — understanding the why behind every architectural decision, service selection, and optimization trade-off.

Each topic is aligned with the official DEA-C01 Exam Objectives (v1.1), targeting the specific cognitive skills required for success. The exam is heavily scenario-based — roughly 60% of questions present a business situation and ask you to choose the best AWS service or architectural approach. Rote memorization of service features will not get you through; you need to understand when and why each service is the right tool.

Exam Details: 65 questions (50 scored + 15 unscored) | 130 minutes | Passing score: 720/1000

Prerequisites: 2–3 years of data engineering experience. 1–2 years of hands-on AWS. Familiarity with ETL/ELT pipelines, SQL, data lakes, Git, and general networking/storage/compute concepts. No ML training or programming language-specific syntax is tested.

Exam Domain Weights

Domain 1 commands over a third of the exam — ingestion patterns, transformation services (especially AWS Glue and EMR), and pipeline orchestration are your highest-value study areas. Domain 2's data store selection questions are the second-heaviest block, so invest deeply in understanding when to choose S3, Redshift, DynamoDB, or Aurora. Domains 3 and 4 together account for 40%, with monitoring, data quality, IAM, Lake Formation, and encryption rounding out the exam.

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