DEA-C01 Pass Rate 2026: What the Data Shows

Why There Is No Official Pass Rate

Search for the DEA-C01 pass rate and you will find confident numbers on forums, vendor landing pages, and social posts. None of them come from AWS. In the issuer sources reviewed for AWS Certified Data Engineer - Associate (DEA-C01), including the credential page, the exam guide, the revision record, and the certification FAQs, there is no cohort pass-rate statistic. AWS publishes the passing standard and the exam design, not the share of candidates who clear it.

That absence matters. A pass rate would only be meaningful if it were measured across all candidates for a defined period and exam version. Anecdotal figures usually come from self-selected samples: people who post after passing, people who bought a particular course, or people who answered a survey. Each of those groups skews the result in a different direction.

If you want a calibrated view of difficulty rather than a headline percentage, our guide on how hard the DEA-C01 exam is breaks down the skills that trip candidates up, without inventing statistics.

What the 720 Scaled Score Really Measures

The minimum passing score for DEA-C01 is a scaled score of 720 on a 100-1,000 scale. This is the most commonly misread fact about the exam. It is not a 72% raw-score threshold, and a percentage on a practice test cannot be converted into the official scaled score. Scaling exists so that results remain comparable even if different forms of the exam vary slightly in difficulty.

Two further scoring rules shape how you should approach the clock:

• Compensatory scoring. You do not need to clear each domain separately. Strength in one area can offset weakness in another, as long as the overall scaled score reaches 720.
• No guessing penalty. Unanswered items are scored incorrect, so every question should receive an answer, even a best guess.

For the full mechanics of how the threshold works, see our dedicated page on the DEA-C01 passing score. The practical point here is that a practice-test percentage is a rough readiness signal at best, and anyone who promises a precise conversion is overreaching.

Exam Mechanics That Shape Outcomes

Pass outcomes are influenced by format as much as content. Here is what the issuer documentation establishes for this exam:

A few consequences follow from this table. First, 130 minutes for 65 questions averages two minutes per item, which is workable for single-answer items but tight for long scenario-based multiple-response questions. Second, because 15 items are unscored and unidentified, you cannot safely write off a question as "probably unscored." Treat every item as if it counts.

Third, there are no scheduled breaks. At a test center, an unscheduled break consumes exam time; for online candidates, leaving camera view for an unapproved break is not permitted. Plan your hydration and logistics before you sit down. If you qualify for the ESL +30-minute accommodation, it must be requested before booking, not added afterward.

For cost mechanics, including how an active AWS Certification can provide a 50% discount benefit on a next exam, read our DEA-C01 certification cost breakdown. Note that this benefit applies to a next certification exam and is not an unrestricted discount.

Where the Points Are: Domain Weights

Since no pass rate exists to guide you, the exam's published weighting is the best evidence for deciding where to invest effort. The four domains and their shares of scored content are:

Because scoring is compensatory, the lowest-weighted domain still contributes meaningfully, but it cannot single-handedly fail you. A detailed walkthrough of every task and skill appears in our DEA-C01 exam domains guide.

How to Evaluate Pass-Rate Claims

When a site or post quotes a pass rate, run it through a short checklist:

1. Source. Does it cite an AWS publication? None currently exists for this exam, so the answer should be no.
2. Sample. Is the number drawn from the vendor's own customers or survey respondents? That is not the full candidate population.
3. Version. Does it specify which exam guide version it applies to? DEA-C01 Exam Guide v1.1 was published December 12, 2025, and older figures may predate it.
4. Definition. Is "pass" defined as first-attempt, any attempt, or course completion? Mixed definitions make numbers incomparable.
5. Incentive. Does the claim happen to support a product sale or a course upsell?

Salary and ROI claims deserve the same skepticism. No verified credential-specific salary premium was found in the reviewed sources, so treat headline earnings numbers as context rather than guarantees. Our ROI analysis walks through how to evaluate the value of the credential for your own situation.

Who Tends to Struggle, and Why

Without cohort data, we cannot say who fails most often. We can, however, reason from the exam's design about where preparation gaps are likely to hurt. AWS describes the target candidate as having two to three years of experience in data engineering or data architecture and one to two years of hands-on AWS experience. That is recommended guidance, not a requirement: there is no mandatory prior certification, degree, course, or work-hour total. Our DEA-C01 requirements page covers eligibility, including the minimum age of 13 and the parent or guardian consent rule for ages 13-17.

From the structure of the objectives, a few preparation profiles look especially exposed:

• Analysts who have not built pipelines. Domain 1 expects fluency in replayability, stateful versus stateless transactions, throttling behavior, and fan-in/fan-out. These are engineering concerns that SQL-only backgrounds rarely cover.
• Engineers who know one service deeply. The exam is about choosing among services for cost, performance, and access patterns. Someone expert in Glue but vague on Redshift locking, MemoryDB, or Aurora vector indexing will face trade-off questions with gaps.
• Candidates who skip governance. Domain 4 is the smallest at 18%, but it is easy to underestimate. Lake Formation permissions, cross-account KMS, and Region-prohibition controls appear as scenario details inside questions from other domains too.
• Candidates relying on older study material. The v1.1 guide includes newer topics such as LLM integration in processing, vector index types, Apache Iceberg, SageMaker Catalog, and SageMaker Unified Studio domains and projects. Material written before these were listed may leave blind spots.

One boundary is worth stating plainly. The exam guide explicitly places machine-learning model training and inference, language-specific syntax, and drawing business conclusions from data outside the scope of the job tasks. LLM and vector topics appear only as data-engineering skills. Over-studying ML theory is a common misallocation of time.

A Domain-Weighted Readiness Plan

Generic scheduling advice is everywhere; what matters here is sequencing by weight and dependency. This outline allocates the heaviest early effort to Domain 1 because it is the largest share of scored content and because its concepts (ingestion, orchestration, replay) recur in later domains.

Adjust the pace to your background; a seasoned data engineer may compress Domain 1, while someone new to AWS may need longer. For a fuller roadmap with resource suggestions, see the DEA-C01 study guide, and keep the DEA-C01 cheat sheet handy for last-week review. To check how well your knowledge holds up under exam-style conditions, use the DEA-C01 practice tests and review the reasoning behind every answer, not just the score.

Version Changes and Source Quirks

The latest revision listed in the retrieved record is DEA-C01 Exam Guide v1.1, published December 12, 2025. No separate effective or go-live date was established, and it would be a mistake to infer one by adding time to the publication date. Check the official guide before you book, and use the same version your study resources target.

Two source inconsistencies are worth knowing about, because they affect how confidently any resource can claim "complete" coverage:

• AWS SCT. The v1.1 revision record removes AWS Schema Conversion Tool from the in-scope service list, yet Skill 2.4.3 still names AWS SCT alongside DMS Schema Conversion. Until AWS clarifies, treat SCT as a low-confidence topic and prioritize DMS Schema Conversion.
• Quick versus QuickSight. The service inventory lists Amazon Quick, while skills 3.2.1 and 3.2.2 reference QuickSight. Both labels are published; do not assume they are interchangeable beyond what AWS states.

The service lists are also described as non-exhaustive and subject to change, so a service's absence from a list is not a guarantee it will never appear in a scenario. Conversely, out-of-scope services such as AWS X-Ray, AppSync, and the IoT family should not consume study time.

Finally, remember that certification lasts three years. Renewal is possible by passing the latest version of this exam, and the AWS recertification table also lists AWS Certified Generative AI Developer - Professional as a route. The renewed period runs from completion of the recertification action, not from the prior expiry date. Our exam dates and scheduling guide covers booking logistics.

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