AWS Data Engineer Associate Certification Guide

What the AWS Certified Data Engineer – Associate exam involves: DEA-C01 format, cost, experience expectations, booking steps and a preparation sequence.

Daniel Carter15 August 2026 · 8 min read

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Isometric illustration of a cloud data pipeline ending in an AWS Data Engineer Associate certification seal

The AWS Certified Data Engineer – Associate (exam code DEA-C01) is Amazon Web Services' Associate-tier certification for data pipeline work: ingesting, transforming, storing and governing data on AWS. The exam runs 65 questions in 130 minutes, costs $150 USD as of 2026, and requires a scaled score of 720 to pass. It launched in 2024 and, as of August 2026, DEA-C01 remains the current version with no update or retirement announced.

Everything below answers the practical questions a candidate has about the exam itself — what it covers, what it assumes, what it costs, and how to book and prepare. Whether data engineering is the right career direction for you, and how this certification sequences with others, are questions this guide deliberately leaves to the AWS Certification Roadmap for 2026.

What is the AWS Certified Data Engineer – Associate?

It is an Associate-level AWS certification — the same tier as Solutions Architect Associate and Developer Associate — that validates the day-to-day competences of a data engineer working on AWS: building data pipelines, choosing appropriate data stores, operationalising and monitoring data workflows, and applying security and governance to data assets. Certification is awarded by AWS on passing the DEA-C01 exam, and it stays valid for three years.

Its position in the portfolio matters for anyone comparing older advice against the current line-up. DEA-C01 arrived in 2024 as AWS retired its data-focused Specialty exams: the Data Analytics – Specialty (DAS-C01) retired on 8 April 2024 and the Database – Specialty (DBS-C01) on 29 April 2024. The Data Engineer Associate effectively took over as AWS's data credential — at Associate rather than Specialty level, and centred on pipelines rather than database administration depth. The full story of that transition is covered in the AWS Database Specialty Certification Guide.

What does the DEA-C01 exam cover?

DEA-C01 tests the data engineering lifecycle on AWS, and the definitive topic list — with domain names and weightings — lives in the official DEA-C01 exam guide on AWS's Certified Data Engineer – Associate page. Download that document first; it is the contract for what can appear on your paper, and this article intentionally does not substitute for it.

Read as a job description, the exam expects you to be able to:

Build and orchestrate ingestion and transformation pipelines, batch and streaming, using AWS's data integration tooling — AWS Glue is the kind of service at the heart of this territory — and to reason about scheduling, dependencies and pipeline failure handling.
Choose and operate appropriate data stores, understanding when a data warehouse such as Amazon Redshift fits versus object storage or purpose-built databases, and how data modelling, partitioning and lifecycle decisions affect cost and performance.
Operationalise data workloads: monitoring, troubleshooting, optimising cost and performance, and maintaining data quality once pipelines are in production.
Secure and govern data: access control, encryption, auditing and the governance controls that keep regulated data compliant.

The framing to prepare for is operational judgement, not trivia. Associate-level AWS questions typically present a scenario — a pipeline that is too slow, too expensive or failing intermittently — and ask which change best meets a stated requirement. Several options will work; one fits the constraints in the question. That is a different skill from recalling service facts, and it is the skill your preparation needs to build.

What are the requirements to sit the exam?

Short answer: there are none. Like every AWS certification exam, DEA-C01 has no prerequisite certifications, no mandatory courses and no minimum experience requirement. You do not need Cloud Practitioner or any other AWS certification first.

What AWS does publish is a recommended experience profile: around two to three years in data engineering generally, and one to two years hands-on with AWS specifically. Treat that as a calibration tool rather than a rule. A reasonable self-test: if you have never debugged a failing production pipeline, never had to justify a storage choice on cost, and never set up access controls on a dataset, the exam's scenario questions will feel abstract — and closing that gap with hands-on work will do more for you than any amount of reading.

Exam format, cost and languages

Questions: 65, in two formats only — multiple choice (one correct answer) and multiple response (two or more correct answers, with the number stated). There are no labs, and none of the ordering, matching or case-study question types AWS introduced on its AI exams.
Time: 130 minutes — exactly two minutes per question. Long scenario stems make pacing a genuine skill; flag and return rather than stalling.
Cost: $150 USD as of 2026, the standard Associate-tier fee. Local-currency pricing and taxes vary by country and region, so confirm the exact amount on AWS's exam pricing page or at checkout. If you hold any active AWS certification, a 50% discount voucher applies to your next exam booking.
Languages: English, Japanese, Korean and Simplified Chinese.
Scoring: pass at 720 on a scale of 100 to 1000. The scale is not a percentage: AWS converts raw marks to scaled scores to account for form difficulty, so do not budget "72% correct" in your head.
Delivery: Pearson VUE test centre, or online proctoring from a location you control.
Validity: three years from the date earned; check AWS's recertification page for current renewal options, which for Associate certifications include retaking the current exam and a one-year maintenance extension via an active AWS Skill Builder subscription.

How do you book the DEA-C01 exam?

Create or sign in to your AWS Certification account through the AWS Training and Certification portal.
Select AWS Certified Data Engineer – Associate (DEA-C01) from the exam list.
Choose test centre or online proctored delivery. For online sittings, run the system test on the actual machine and network you will use, and plan for a private, interruption-free room — proctoring rules are enforced strictly.
Pick your language, date and time slot, then pay the fee (applying your 50% voucher first if you have one).
On exam day, arrive — physically or virtually — with the required identification and with your desk cleared to policy.

A scheduling tip that costs nothing: book only after a timed practice run says you are ready, not as a motivational deadline. The retake price of an optimistic booking is the full $150.

How should you prepare? A working sequence

There is no official mandatory training, so structure your own preparation in this order:

Read the official exam guide end to end. Convert each task statement into a checklist item marked "can do", "have seen" or "unknown". This is your gap map, and it keeps you studying to the blueprint rather than to a course author's preferences.
Close "unknown" items hands-on first. Build a small end-to-end project: ingest a raw dataset, transform it on a schedule, land it in queryable storage, lock down access, and put monitoring on the whole path. One built pipeline teaches more exam-relevant judgement than ten watched tutorials.
Study cost and performance trade-offs deliberately. Associate questions love "most cost-effective" and "least operational overhead" qualifiers. For each service you study, learn not just what it does but when a cheaper or simpler alternative wins.
Add practice questions once the fundamentals are in place. Working through AWS Certified Data Engineer – Associate practice questions shows you how the blueprint turns into scenarios; ExamPractice provides free samples with answer reveal, and subscribers get fuller question sets plus a timed simulation mode. Use results diagnostically — a weak domain is a signal to reopen the documentation, not to re-run the same questions until the answers stick.
Finish with at least one full-length timed simulation. Sixty-five scenario questions in 130 minutes is as much a concentration test as a knowledge test; rehearse it once before it counts.

Common mistakes DEA-C01 candidates make

Studying from Specialty-era materials. Courses and notes written for the retired Data Analytics Specialty overlap DEA-C01 imperfectly — the level, blueprint and emphasis differ. Check any resource's publication date against the 2024 launch of DEA-C01.
Going deep on database administration. DEA-C01 is a pipeline exam, not a database administrator exam; the retired Database Specialty's depth on engine internals is not the target.
Ignoring the governance and security portion. Engineers comfortable with transformation logic often lose easy marks on access control, encryption and auditing questions — material that is straightforward if actually studied.
Memorising practice answers. The live exam paraphrases scenarios and shuffles constraints; only understanding the why behind an answer transfers. Memorisation also degrades the one honest signal you have of your readiness.
Misreading multiple-response questions. These state how many answers to pick — selecting a plausible third option on a "choose two" question is an avoidable throwaway.

Readiness checklist before you book

I have read the official DEA-C01 exam guide and can explain what each domain expects, in my own words.
I have built, broken and repaired at least one end-to-end pipeline on AWS myself.
I can argue storage and processing choices in terms of cost, performance and operational overhead, not just capability.
I can describe how I would secure a dataset end to end: access, encryption, audit trail.
My timed practice scores clear the pass threshold consistently, with no domain left obviously weak.
I have confirmed the current fee, language availability and any version news on the official AWS Certified Data Engineer – Associate page.

Frequently asked questions

Is DEA-C01 still the current exam version?

Yes. As of August 2026 no DEA-C02 has been announced. Exam-version news appears on AWS's certification pages first — verify there rather than trusting forum speculation.

Do I need Solutions Architect Associate or Cloud Practitioner first?

No. AWS exams have no prerequisites, and DEA-C01 can be your first AWS certification. Candidates who want broader architectural grounding sometimes study the AWS Solutions Architect Associate guide material alongside, but it is a choice, not a requirement.

Can I take the exam from home?

Yes — online proctoring is available for all AWS exams through Pearson VUE, alongside physical test centres. Home sittings need a passed system check and a private, compliant environment.

How many questions can I get wrong and still pass?

AWS does not publish a raw-score conversion, and the 720 threshold is scaled rather than a percentage, so there is no reliable "you can miss N questions" figure. Aim your practice benchmarks comfortably above the line instead of calculating a minimum.

Booking your DEA-C01 sitting with confidence

DEA-C01 is a well-scoped exam: 65 questions, 130 minutes, $150, no prerequisites, and a blueprint that maps cleanly onto real data engineering work. The preparation that works is unglamorous — official exam guide first, hands-on pipeline work second, diagnostic practice testing last — and the checklist above tells you when the booking fee stops being a gamble. Confirm fee and version details on AWS's official page when you book, since this guide's facts are current as of August 2026, and give yourself the quiet advantage most candidates skip: one full timed rehearsal before the real 130 minutes start.

Exam facts in this guide were checked against official certification-provider pages on 30 August 2026. Fees, exam codes and policies change — confirm on the provider’s own site before you book.