AssociateAWS
AWS Certified Data Engineer – Associate — Study Guide & Exam Overview
Data engineers are among the highest-paid cloud professionals. This certification validates your ability to design and manage the data infrastructure that powers analytics and ML — a skillset in high demand across fintech, healthcare, and e-commerce.
Duration
130 min
Passing Score
720 / 1000 points
Level
Associate
Provider
AWS
What This Certification Covers
- Designing and building data pipelines using Kinesis, Glue, and Lambda
- Data storage strategies: S3, Redshift, DynamoDB, RDS, and Aurora
- Streaming vs. batch processing trade-offs with Kinesis Data Streams and Firehose
- Data governance with AWS Lake Formation: fine-grained access control and data catalogs
- Monitoring and optimizing data workloads using CloudWatch and AWS Glue DataBrew
Exam Domain Breakdown
- Data Ingestion & Transformation (34%)
- Data Store Management (26%)
- Data Operations & Support (22%)
- Data Security & Governance (18%)
Exam Format
65 multiple-choice and multiple-response questions, 130 minutes, scored 100–1000 with passing score of 720
Study Tips to Pass Data Engineer
- 1Understand the end-to-end data lifecycle: ingestion → transformation → storage → analysis → governance
- 2Study Kinesis thoroughly: Data Streams, Firehose, Data Analytics, and MSK (Managed Kafka)
- 3Know when to use Glue ETL, Glue DataBrew, EMR, or native SQL in Redshift/Athena
- 4Master Lake Formation permissions — they override IAM and S3 bucket policies
- 5Review the AWS Data Analytics Specialty whitepaper for architecture patterns still tested on this exam
Ready to test your knowledge? Take a free timed mock exam below.
Official Data Engineer exam page