Exam prep for
AWS Certified Data Engineer – Associate
Exam set and awarded by Amazon Web Services On demand DEA-C01
For experienced data engineers preparing for AWS Certified Data Engineer – Associate: strengthen working-level AWS data engineering skills and prepare to pursue the associate credential.
Included with Elandi Pro: practice on all 4 exam domains and unlimited mock exams.
Independent exam prep. Elandi is not affiliated with, endorsed by or approved by Amazon Web Services, and does not award Amazon Web Services credentials. Our practice questions and mocks are written by Elandi, not taken from the real exam. Exam names are trademarks of their owners. AWS, Amazon Web Services and all related certification names are trademarks of Amazon.com, Inc. or its affiliates.
The exam in numbers
Assesses implementation of data pipelines and the monitoring, troubleshooting, and optimization of cost and performance in accordance with AWS best practices. Your mock exams use this learning plan's question count, time limit and pass mark.
- Questions
- 65
- Time limit
- 130min
- Mock pass mark
- 72%
- 47 correct
- Exam fee (paid to Amazon Web Services)
- US$150
- When you book the exam
- Sitting
- On demand
- Single select (Radio): 4 options
- Multiple select (Checkbox): 5 options
Upcoming sittings
Pick a sitting when you start. Your workspace counts down to it and paces your prep from there.
- Any day On demand Book any day
What AWS Certified Data Engineer – Associate covers
4 modules · 17 units · ~17h of structured prep. Each exam domain with the weight the exam gives it, and the modules that prepare you for it.
- 01Data Ingestion and Transformation 34%
- Perform data ingestion
- Transform and process data
- Orchestrate data pipelines
- Apply programming concepts
- 02Data Store Management 26%
- Choose a data store
- Understand data cataloging systems
- Manage the lifecycle of data
- Design data models and schema evolution
- 03Data Operations and Support 22%
- Automate data processing by using AWS services
- Analyze data by using AWS services
- Maintain and monitor data pipelines
- Ensure data quality
- 04Data Security and Governance 18%
- Apply authentication mechanisms
- Apply authorization mechanisms
- Ensure data encryption and masking
- Prepare logs for audit
- Understand data privacy and governance
Your exam workspace counts down and keeps score
Set your exam day once. The workspace paces your prep in four phases, weighs your coverage by what each topic is worth, and shows where the marks are still open after every mock.
- Overview
- All attempts
- Review
- Preview questions
- Questions
- 65
- Time limit
- 130 minutes
- Pass score
- 72% · 47 correct
days until your exam
6 weeks
Thursday, 24 December 2026
- Learn 8+ weeks out
- Mock and repair 8 to 2 weeks out
- Simulate Last 2 weeks
- Consolidate Last 3 days
Now: Mock and repair. Sit a full mock every week or two, then practise the topics you missed.
How ready you are
- Exam-weighted coverage
- 81% of the plan, counted by what each topic is worth
- Full mocks taken
- 2 Prep guides suggest three to five before the exam
- Latest mock
- 68% 4 points below the 72% pass mark
Where the marks are still open
- Data Security and Governance 18% of the exam 54%
- Data Operations and Support 22% of the exam 71%
- Data Ingestion and Transformation 34% of the exam 88%
- Data Store Management 26% of the exam 100%
How the content is written
Write concise, practical AWS data-engineering guidance for experienced associate-level exam candidates. Use scenario-driven choices and explain trade-offs without reteaching foundational concepts.
- Worked examples
- Heavy
- Technical jargon
- Some
- Maths & formulas
- Light
- Code
- Light
- Diagrams
- Light
Try a sample question
Elandi wrote these in this learning plan's style. Pick an answer to see whether it's right and why. They are not taken from the exam.
An organization wants to introduce Lake Formation permissions for one analytics team while existing workloads continue to use their current IAM-based access. Which approach best supports this transition? One answer
A team must ingest a continuous stream of application events, transform each microbatch, and write the results to Amazon S3 with minimal infrastructure management. Which solution best meets the requirement? One answer
An analytics team needs to restrict a cataloged dataset to approved columns and to rows for a particular region. Which TWO actions support the requirement? Select all that apply
A team is troubleshooting an AWS Glue pipeline and needs both application log evidence and a record of API calls made during a deployment. Which TWO services should it use? Select all that apply
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