AWS Certified Data Engineer – Associate Practice Tests

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 at 720. Standard Associate-level threshold.

Prerequisites and Audience

AWS recommends two years of experience with data analytics technologies and hands-on time with AWS data services. You should be comfortable with SQL, understand data modeling concepts, and have a solid grasp of ETL patterns. If "star schema" and "slowly changing dimension" don't ring any bells, you've got some foundational work to do first. Data engineers who build and maintain data pipelines and analytics solutions on AWS. If you spend your days wrangling data from multiple sources into something queryable and useful, this cert validates exactly that skill set. It's also a strong signal for anyone moving from general backend engineering into data engineering.

Staying Certified

Three years, standard AWS renewal options. Nothing unusual here.

The exam covers the full data engineering lifecycle: ingestion, transformation, orchestration, data modeling, lifecycle management, and data quality. You need to know Glue for ETL, EMR for Spark workloads, Kinesis for streaming, Redshift for warehousing, Athena for serverless queries, Lake Formation for governance, and Step Functions for orchestration. It's a lot of services, but they all fit into a logical pipeline flow.

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. The scenarios describe data pipeline requirements — "a company needs to ingest streaming data from IoT devices, transform it, and make it queryable within 15 minutes" — and you choose the right combination of services and configurations.

Study Timeline

Two to three months if you're already doing data engineering work. If you haven't actually used Glue, Kinesis, or Redshift in production, budget extra time for hands-on labs. Reading about these services isn't enough — you need to build pipelines to understand the quirks and gotchas.

Top Resources

AWS documentation for Glue, Kinesis, and Redshift should be your home base. The AWS Big Data blog has great architecture patterns that mirror exam scenarios. Hands-on practice building actual data pipelines using the free tier is non-negotiable. Also check out the AWS Data Analytics learning plan on Skill Builder.

Common Mistakes

Focusing entirely on ETL and ignoring data governance. Lake Formation, data cataloging, fine-grained access control, and lifecycle management are all tested, and candidates who skip them lose easy points. The other classic mistake is confusing Kinesis Data Streams with Kinesis Data Firehose — they solve different problems, and the exam expects you to know which to use when.

Hands-On Advice

Build a complete end-to-end pipeline: ingest data with Kinesis, process it with a Glue ETL job, store the output in S3 with proper partitioning (year/month/day), catalog it with the Glue Data Catalog, query it with Athena, and visualize it in QuickSight. Then add Lake Formation permissions to control who can access what. That one project touches most of the exam domains.

Testing Options

Pearson VUE testing centers or online proctoring. Nothing unusual about the testing setup.

Time Management

You get 170 minutes for 65 questions, which is about 2.6 minutes each. That's more generous than most AWS exams, and you'll appreciate it — data engineering scenarios can involve five or six services chained together, and you need to trace through the entire data flow to pick the right answer. Use the extra time; don't rush.

How Hard Is This Exam?

On a scale of 1 to 10, the DEA-C01 sits at about a 6.5. It's comparable to the SAA in overall difficulty, but the challenge is different — it's deep in the data domain rather than broad across all of AWS. You need to understand the complete data engineering lifecycle, and the tricky part is knowing which service to use when. Glue versus EMR versus Kinesis Data Streams versus Kinesis Data Firehose versus Step Functions — the exam loves presenting scenarios where multiple services could work, and you need to pick the best one. Data governance with Lake Formation trips up a lot of candidates because they focus entirely on the ETL pipeline and ignore access control. If you're a data engineer by trade, this feels manageable. If you're a generalist, the data-specific depth will require real study.

Pass Rate Data

Community estimates suggest a first-attempt pass rate around 55-65%. Candidates with hands-on data engineering experience on AWS tend to do significantly better. If you're consistently scoring above 78% on practice tests, you're likely to pass. The 720 passing threshold is standard Associate-level, but the data-specific content catches generalists off guard.

Each Pruvos practice test mirrors the DEA-C01 format: 65 questions with a 170-minute timer, distributed across four domains — Data Ingestion and Transformation (34%), Data Store Management (26%), Data Operations and Support (22%), and Data Security and Governance (18%). We have 6 full practice tests with 390 unique questions. The heavy weight on Ingestion and Transformation means your Glue and Kinesis knowledge needs to be solid — if your score in that domain is below 70% on Test 1, that's where to focus before moving on. Work through all 6 tests and track your domain trends to see if your weak areas are actually improving.

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.