AWS · DEA-C01 · Intermediate
AWS Data Engineer - Associate (DEA-C01) — Practice Questions and Mock Exam
Practice real DEA-C01 questions, never dumps. Alex explains every answer, and your readiness score tells you when you're ready to pass.
Checked against AWS · July 2026Current exam version
Overview
About the exam
The AWS Certified Data Engineer – Associate validates the ability to design and implement data pipelines, manage data stores, and ensure data quality and governance on AWS. It covers data ingestion and transformation using services like Glue and Kinesis, data store management with Redshift and S3, operational support, and data security best practices.
This certification is designed for data engineers with at least one to two years of hands-on experience building and managing data solutions on AWS. It replaced the retired AWS Data Analytics Specialty and demonstrates proficiency in designing cost-effective, scalable data architectures using AWS-native services.
Exam Domains
What's on the exam
The exam consists of 65 questions (50 scored, 15 unscored), featuring multiple-choice and multiple-response question types over 130 minutes. Questions are scenario-based, focusing on data pipeline design, ETL workflows, data lake architecture, and query optimization. Expect questions about Glue, Kinesis, Redshift, Athena, Lake Formation, and S3 storage classes. Budget roughly 2 minutes per question.
SourceAWS exam page
Format
What to expect
Watch out
Where candidates struggle
This exam tests practical data engineering skills. Candidates who understand analytics concepts but lack hands-on experience building ETL pipelines and configuring data governance with AWS services struggle with implementation questions.
- 01Glue vs EMR — Not understanding when to use AWS Glue's serverless ETL versus Amazon EMR's managed Hadoop/Spark clusters for different data processing workloads.
- 02Lake Formation — Misunderstanding Lake Formation's role in data governance, fine-grained access control, and how it integrates with Glue and Athena.
- 03Streaming vs Batch — Confusing when to use Kinesis Data Streams, Kinesis Firehose, or batch-based Glue jobs for different data ingestion requirements.
- 04Storage Tiers — Choosing the wrong S3 storage class or Redshift node type for specific query patterns, data access frequency, and cost constraints.
- 05Data Quality — Not knowing how to implement data validation, deduplication, and schema evolution strategies using AWS-native data quality tools.
Details
Exam logistics
Delivered via Pearson VUE online or at testing centers. Available in English; additional languages may be added over time. The certification is valid for 3 years with renewal through recertification exams.
SourceAWS exam page
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