AWS DEA-C01 Exam Overview
What to Expect
The AWS Certified Data Engineer – Associate exam costs $150 USD You'll face 65 questions in 170 minutes, giving you roughly 2 minutes and 37 seconds per question. Scaled 100 to 1000, passing score of 720.
Prerequisites and Audience
AWS recommends at least two years of experience with data analytics technologies and hands-on experience with AWS data services. Familiarity with data modeling, ETL, and SQL is expected. Data engineers who design, build, and maintain data pipelines and analytics solutions on AWS. This cert validates the ability to move and transform data at scale.
Staying Certified
Valid for three years with standard AWS renewal options.
AWS DEA-C01 What the Exam Tests
Covers data ingestion, transformation, orchestration, data modeling, lifecycle management, and data quality. Key services include Glue (ETL), EMR (Spark), Kinesis (streaming), Redshift (warehouse), Athena (query), Lake Formation (governance), and Step Functions (orchestration).
Data Ingestion and Transformation
Data Ingestion and Transformation carries 34% of the exam weight, making it the single most impactful domain. Allocate your study time accordingly and make sure you can answer questions on this topic confidently before sitting the exam.
Data Store Management
Data Store Management carries 26% of the exam weight, making it the single most impactful domain. Allocate your study time accordingly and make sure you can answer questions on this topic confidently before sitting the exam.
Data Operations and Support
Data Operations and Support at 22% is a substantial portion of the exam. You can't afford to be weak here. Focus on understanding the core concepts and common scenario patterns.
Data Security and Governance
Data Security and Governance at 18% is a substantial portion of the exam. You can't afford to be weak here. Focus on understanding the core concepts and common scenario patterns.
Question Format
Multiple-choice and multiple-response. Scenarios describe data pipeline requirements and ask you to choose the best combination of services and configurations.
AWS DEA-C01 How to Prepare
Study Timeline
Two to three months for candidates with data engineering experience. If you haven't worked with Glue, Kinesis, or Redshift, spend extra time in hands-on labs with these services.
Top Resources
AWS documentation for Glue, Kinesis, and Redshift. The AWS Big Data blog has excellent architecture patterns. Hands-on practice building data pipelines using the free tier is essential.
Common Mistakes
Neglecting Lake Formation and data governance topics. Many candidates focus entirely on ETL but the exam also tests data cataloging, fine-grained access control, and lifecycle management. Also, not understanding the difference between Kinesis Data Streams and Kinesis Data Firehose.
Hands-On Advice
Build a complete data pipeline: ingest data with Kinesis, process it with Glue, store it in S3 with proper partitioning, catalog it with the Glue Data Catalog, query it with Athena, and visualize it in QuickSight. Then add Lake Formation permissions. That project covers most domains.
AWS DEA-C01 Why Practice Tests Matter
Practice tests are the single most effective study tool for the AWS DEA-C01 exam. They reveal your weak domains before the real exam does, and getting questions wrong in practice is how you learn. Each practice test here mirrors the real exam format: 65 questions, timed at 170 minutes, with the same 4-domain distribution.
Don't just take practice tests and check your score. Review every wrong answer and understand why the correct option is better. For the AWS DEA-C01, pay special attention to Data Ingestion and Transformation (34%) and Data Store Management (26%) questions since they carry the most weight.
