What the AWS Data Engineer exam tests and how to prepare
The AWS Certified Data Engineer – Associate exam tests your ability to design, build, and maintain data pipelines and analytics solutions on AWS. The exam covers five main domains: data ingestion and transformation, data store management, data operations, data analysis, and security and governance. You will face 65 multiple-choice and multiple-response questions in 130 minutes, and you need a score of 720 out of 1000 to pass.
Preparation typically takes 6 to 12 weeks if you already work with AWS or databases. If you are new to cloud platforms, plan for 12 to 16 weeks. The most effective approach combines hands-on lab work with study materials, because the exam tests practical decision-making—not just definitions. You will see scenarios where you choose between services like AWS Glue, Amazon EMR, and AWS Lambda based on cost, speed, and data volume.
Key Takeaways
- The exam covers data ingestion, transformation, storage, operations, analysis, and security across five domains, with 65 questions in 130 minutes.
- Hands-on practice in an AWS account is more valuable than reading alone, because the exam tests real decisions about which service to use when.
- AWS's official exam guide and practice exams show you the exact topics and question style, and they are free to read.
- Study groups and forums help you understand why wrong answers are wrong, which is harder to learn from a textbook.
- Plan to take a practice exam two weeks before your test date so you can target weak areas in your final study period.
Start with AWS's official exam guide and sample questions
AWS publishes a free exam guide that lists every topic covered in the Data Engineer exam. read it from the AWS Certification website under the Data Engineer – Associate exam page. The guide breaks the exam into five domains with a percentage weight for each: data ingestion and transformation (34%), data store management (22%), data operations (16%), data analysis (16%), and security and governance (12%). This tells you where to spend the most study time.
AWS also provides a free sample exam with 20 questions. Take it before you start studying to see what the question format looks like and which topics feel unfamiliar. Do not worry about your score—the goal is to identify gaps. After you finish, review every answer, including the ones you got right, because the explanations teach you the reasoning behind each choice.
The official exam guide also lists the AWS services you need to know: AWS Glue, Amazon S3, Amazon RDS, Amazon DynamoDB, Amazon Redshift, AWS Lambda, Amazon Kinesis, Amazon EMR, and others. As you study each domain, cross-reference the services listed in the guide so you do not waste time on tools outside the exam scope.
Build a home lab and practice with real AWS services
Create a free AWS account if you do not have one. AWS offers a free tier that includes 12 months of free usage for many services, plus always-free options for others. Use this account to build data pipelines, load data into S3, query it with Athena, and transform it with Glue. The hands-on experience is essential because the exam asks you to choose the right service for a specific scenario—you cannot answer those questions from memory alone.
Start with straightforward projects: upload a CSV file to S3, create a Glue job to clean and transform it, and load the result into Redshift or RDS. Then add complexity: ingest streaming data with Kinesis, trigger a Lambda function on file upload, or partition data by date in S3. Each project teaches you how services connect and what trade-offs exist between them. For example, you will learn that Glue is slower but cheaper for batch jobs, while Lambda is faster but costs more for large workloads.
Document what you build. Take screenshots, write down the steps, and note the costs. This documentation becomes a study reference and helps you remember the workflow when you see a similar scenario on the exam.
Use study materials from AWS training and third-party providers
AWS offers an official Data Engineer – Associate exam prep course through AWS Skill Builder, a subscription service. The course includes video lessons, hands-on labs, and practice questions. If your employer pays for Skill Builder, use it. If not, the cost is roughly $30 per month, and you can complete the course in 4 to 6 weeks.
Third-party providers like A Cloud Guru, Linux Academy, and Udemy also offer Data Engineer courses. These are often cheaper (Udemy courses typically cost $10 to $15 on sale) and some instructors explain concepts in a more conversational way. Read the reviews before you buy—look for courses that include hands-on labs, not just videos. A course with 50 hours of video but no lab access is less useful than one with 20 hours of video plus 10 hours of guided labs.
Whichever course you choose, do the labs as you watch. Pause the video, build the solution yourself, then compare your work to the instructor's. This active approach sticks in your memory better than watching passively.
Take practice exams and review every wrong answer
Practice exams are your best predictor of exam day performance. AWS offers an official practice exam with 65 questions (the same length as the real exam) for a small fee. Third-party providers also sell practice exams. Buy at least two—one from AWS and one from another provider—so you see different question styles.
Take the first practice exam in a quiet room with a timer, just like the real exam. Do not look up answers while you are taking it. When you finish, review every question you missed and every question you guessed on, even if you guessed correctly. Read the explanation for the correct answer and understand why the other options were wrong. This is where real learning happens.
If you score below 70 percent on your first practice exam, spend another 2 to 3 weeks studying the weak domains before you take the second one. If you score 75 percent or higher, take the second practice exam one week later. Aim to score 80 percent or higher on your final practice exam before you book the real exam.
Join study groups and forums to learn from others
AWS certification study groups exist on Reddit (r/aws, r/AWSCertifications), Discord, and LinkedIn. Post questions when you are stuck on a concept, and read how others explain the same topic. Different explanations help different brains—if one instructor's explanation does not click, someone in a forum might explain it in a way that makes sense to you.
When you see a practice question you got wrong, search the forums to see if others have discussed it. Often you will find a thread where someone asked the same question and multiple people explained the reasoning. These discussions are more detailed than the official answer explanation.
Do not just lurk—answer other people's questions too. Teaching someone else forces you to organize your own knowledge and spot gaps in your understanding. If you cannot explain why a service is the right choice, you do not understand it well enough yet.
Create a study schedule and stick to it
Spread your study over 8 to 12 weeks rather than cramming in the final two weeks. A typical weekly schedule looks like this: Monday and Wednesday, watch course videos and take notes (1 to 2 hours each). Tuesday and Thursday, build a lab project related to that week's topic (1 to 2 hours each). Saturday, review your notes and answer practice questions on the week's domains (2 to 3 hours). Sunday, rest or do light review.
This rhythm keeps the material fresh and gives your brain time to absorb it. Cramming works for memorizing facts, but the Data Engineer exam tests reasoning—you need time to think through scenarios and understand why one service is better than another in a given situation.
Two weeks before your exam date, stop learning new material and focus entirely on practice exams and review. Take one full-length practice exam per week, review your answers, and study the domains where you scored lowest. The week before the exam, do light review only—read your notes, skim the exam guide, and get good sleep.
Frequently Asked Questions
Do I need AWS experience before I take this exam?
You do not need to work with AWS professionally, but you should understand basic cloud concepts and have some experience with databases or data tools. If you are completely new to cloud platforms, spend 2 to 3 weeks learning AWS fundamentals (EC2, S3, IAM) before you start the Data Engineer course. The AWS Cloud Practitioner exam is a good foundation if you want a structured introduction.
How much does the exam cost and how do I book it?
The AWS Certified Data Engineer – Associate exam costs $150 USD. You book it through the Pearson VUE website, which is the testing provider AWS uses. You can take the exam at a testing center or online from home. Book your exam date at least two weeks in advance so you have a important date to work toward.
What should I do the day before the exam?
Do not study the day before. Review your notes lightly for 30 minutes in the morning, then stop. Get a full night of sleep, eat a normal breakfast, and arrive at the testing center 15 minutes early. Bring a valid photo ID. If you are taking the exam online, test your internet connection and camera setup the night before.
What if I fail the exam?
You can retake the exam after 14 days. AWS sends you a detailed score report that shows your performance in each domain. Use that report to identify which domains need more study, then focus your second attempt on those areas. Most people pass on the second try because they know exactly what to fix.
Is the Data Engineer certification worth the time and cost?
The certification shows employers that you understand AWS data services and can design real solutions. It is most valuable if you work with data or plan to move into a data engineering role. If you already have years of data experience, the certification adds less value, but it still serves as a credential check. The cost and time investment are modest compared to a degree program, so many people pursue it for career growth or to confirm their skills.