The AWS Data Engineer certification tests your ability to build and maintain data pipelines on Amazon's cloud platform

The AWS Certified Data Engineer – Associate exam (the official name) checks whether you can design data solutions, move data between systems, and keep pipelines running. It is not a beginner test — you need hands-on experience with AWS services like S3, Glue, Lambda, and Redshift before you sit for it. The exam has 65 questions, runs 130 minutes, and costs $150. You need a score of 720 out of 1000 to pass.

Most people study for 4 to 8 weeks if they already work with data or cloud platforms. If you are new to AWS, add another 4 to 6 weeks. The test covers four main areas: data ingestion (getting data into AWS), data transformation (changing its shape or format), data orchestration (scheduling and running pipelines), and data security and governance (who sees what, and how you keep it safe).

Key Takeaways

  • You need real experience with AWS services before studying — the exam tests hands-on skills, not just definitions.
  • AWS's official exam guide and practice exams are your most reliable study materials because they show the exact topics and question style you will face.
  • Building actual data pipelines in AWS (even small ones) teaches you more than reading alone, because you learn what breaks and how to fix it.
  • The exam focuses on designing solutions and troubleshooting, not memorizing service names — study the "why" and "when" for each tool.
  • Taking a practice exam two weeks before your test date shows you which topics need more work and reduces test-day surprises.

Start with the official AWS exam guide and sample questions

AWS publishes an Exam Guide for the Data Engineer – Associate certification on its website. read it first. It lists every topic the exam covers, broken into four domains with percentages: data ingestion (34%), transformation (24%), orchestration (23%), and security and governance (19%). This document tells you exactly what to study and how much weight each area carries.

After reading the guide, take the sample exam AWS provides for free. It has 20 questions and shows you the format and difficulty level. You will not pass it on your first try — that is normal. Mark the questions you got wrong and look up why each answer is correct. This tells you which domains need the most work.

Do not rely on third-party study guides alone. They often simplify or omit details that appear on the real exam. Use them to supplement the official guide, not replace it.

Build real pipelines in AWS to understand how services work together

Reading about AWS Glue is not the same as running a Glue job that fails because your IAM role lacks permissions. Hands-on work teaches you what actually happens when you connect services. Create a free AWS account (it includes a 12-month free tier for many services) and build small projects.

Start with a straightforward pipeline: upload a CSV file to S3, use Glue to clean and transform it, and load it into Redshift or Athena. Then break it intentionally — remove a permission, change a data type, introduce a null value — and fix it. When you troubleshoot your own mistakes, you remember the solution. This is how you learn to design solutions that work, not just pass a test.

Document what you build. Write down which services you used, why you chose them, and what went wrong. This becomes your study notes and your portfolio if you interview for a job afterward.

Study the services that appear most on the exam

The exam tests a wide range of AWS services, but some appear far more often than others. Focus your study time on the ones that carry the most weight: S3 (storage), Glue (data catalog and ETL), Lambda (serverless compute), Step Functions (orchestration), Redshift (data warehouse), Kinesis (streaming data), and IAM (permissions and security).

For each service, learn: what problem it solves, when you would use it instead of an alternative, how to configure it, and what can go wrong. For example, S3 is not just "where you store files." You need to know about bucket policies, access control lists, encryption, versioning, lifecycle rules, and how S3 integrates with other services. The exam tests this depth.

Spend less time on services that appear rarely, like DMS (Database Migration Service) or Kinesis Firehose. Learn what they do and when to use them, but do not memorize every parameter.

Use practice exams to find gaps and build test-taking stamina

After 3 to 4 weeks of study, take a full-length practice exam. Several companies sell them: Udemy, A Cloud Guru, and Linux Academy all offer Data Engineer practice tests. Choose one with at least 65 questions (the real exam length) and detailed explanations for every answer.

Score yourself honestly. If you score below 70 percent, do not schedule your real exam yet. Instead, review the domains where you scored lowest and study those topics again. Then take another practice exam one week later. You should see improvement.

Two weeks before your scheduled exam date, take a final practice exam under real conditions: 130 minutes, no breaks, no notes. This builds stamina and shows you whether you are ready. If you score 75 percent or higher, you are likely to pass the real exam.

Focus on design decisions and troubleshooting, not memorization

The exam does not ask you to list all parameters for a service or recite pricing. It asks: "A company needs to ingest 500 gigabytes of data per day from on-premises databases into AWS. Which service should they use, and why?" or "A Glue job is failing because it runs out of memory. What should you change?"

Study by asking yourself these kinds of questions. When you read about a service, think about when you would choose it over alternatives. When you build a pipeline, ask why you made each choice. This trains your brain to think like the exam does.

Join AWS forums or subreddits like r/aws or r/dataengineering. Read real questions people ask about data pipelines. These often reflect the kinds of problems the exam tests.

Schedule your exam when you consistently score 75 percent or higher on practice tests

Do not schedule based on a calendar date. Schedule when your practice exam scores show you are ready. Most testing centers (Pearson Vue) let you book online and choose a date weeks in advance. Pick a time when you are alert — morning is usually better than afternoon.

The week before your exam, review your weak topics but do not try to learn new material. Sleep well the night before. Eat a normal breakfast. Arrive 15 minutes early. Bring your ID and any required documents (check the testing center's rules).

On exam day, read each question carefully. Some questions are longer and include details you do not need — focus on what the question actually asks. Flag questions you are unsure about and come back to them if you have time. Do not second-guess yourself on questions you felt confident about.

Frequently Asked Questions

Do I need AWS experience before I study for this exam?

Yes. AWS recommends at least one year of hands-on experience with AWS services, and the exam assumes you know how to navigate the AWS console and understand basic cloud concepts. If you are new to AWS, take the AWS Cloud Practitioner exam first or spend 2 to 3 months building projects before you start studying for Data Engineer.

What is the difference between this exam and the Data Analytics exam?

The Data Engineer exam focuses on building and maintaining pipelines — moving data, transforming it, and keeping systems running. The Data Analytics exam focuses on analyzing data and building dashboards. If your job is to build ETL systems, take Data Engineer. If your job is to query data and create reports, take Data Analytics.

How much does it cost to study, including practice exams and AWS hands-on work?

The exam itself costs $150. Practice exams range from $10 to $50 each. AWS's free tier covers most hands-on learning for the first 12 months, though some services (like Redshift) have small charges. Budget $200 to $300 total if you buy two or three practice exams and use the free tier.

Can I pass this exam without building actual pipelines in AWS?

Unlikely. The exam tests whether you can solve real problems, not just define terms. Reading alone teaches you what services exist. Building teaches you how they fail and how to fix them. Spend at least half your study time building projects.

What happens if I fail the exam?

You can retake it after 14 days. Most people who fail the first time pass on the second attempt because they know which topics to focus on. Review your exam report (AWS sends it after you test) to see which domains you scored lowest on, then study those areas before you retake it.