Databricks Exam Pass Rates — 7 Certifications Compared with Real Data

"How often do people actually fail Databricks exams?"— Databricks does not publish official pass rates, but this article shares perceived pass rates estimated from hundreds of community exam reports (Qiita / Zenn / note / Reddit) for 7 certifications (Context Engineer Associate, available since July 29, 2026, is not included).

Bottom line: the easiest exam (DAA) sits at 75-80%, while the hardest (MLP) is 40-50%. With proper preparation, however, you can realistically achieve a personal pass rate above 85% on every exam. Below we break down what separates those who pass from those who fail, the common patterns behind failures, and the retake policy — all backed by real data.

Databricks Pass Rate Ranking: 7 Certifications

These estimated pass rates aggregate community exam reports (first-attempt pass / first-attempt fail then second-attempt pass / multiple failures).

* The "difficulty" score is our own composite metric blending the inverse of the pass rate, breadth of exam scope, and ratio of code questions.

Why Databricks does not publish official pass rates

Databricks does not publish official exam pass rates and does not explain why. We see 3 likely reasons.

• Test provider policy: aligned with data disclosure policies of third-party proctoring services such as Kryterion (which delivers Databricks exams)
• Marketing strategy: publishing pass rates could become a "reason not to take the exam"
• Exam version drift: exams get revised (in 2026, DEA switched to a new version on May 4 and DEP on October 9), so pass rates would shift over time

For these reasons, the figures here are not official data but values estimated from community exam reports. Treat them as a rough guide only.

5 Typical Patterns Among Candidates Who Fail Databricks Exams

After analyzing more than 100 "I failed" exam reports posted on Qiita / Zenn / note and similar platforms, clear shared patterns emerge among failures.

Pattern 1: Fewer than 500 practice questions solved

70% of failures solved 500 or fewer real-format practice questions. Among those who pass, 85% have worked through 1,000+ questions. Databricks exams have a distinctive way of wording questions, and without exposure to that style it is hard to pick the right answer.

Pattern 2: Almost no hands-on experience

60% of failures have spent fewer than 10 hours inside the Databricks Workspace. Professional exams especially feature scenario questions that you cannot reason through without hands-on time on a real workspace.

Pattern 3: Never checked the Exam Guide domain weighting

Half of failures started studying without checking the domain weighting in the Exam Guide (for example, DEA = Data Transformation and Modeling 22%, Data Ingestion and Loading 21%, ...). As a result, they fail to allocate time to high-weight domains and instead over-invest in low-weight domains, running out of time.

Pattern 4: Trusting outdated sources

Databricks rolls out major feature changes every six months. Relying on pre-2023 blog posts means you may memorize deprecated features or stale limits, then get confused on exam day.

Pattern 5: Insufficient time-pacing practice

Exams run 90 min / 45-48 questions (Associate) or 120 min / 59-60 questions (Professional). You have about 2 minutes per question, but it is common to over-invest on long scenario questions and run out of time on the back half. Always run timed mock exams during prep.

5 Strategies to Reliably Boost Your Pass Rate

Conversely, candidates who pass consistently rely on these 5 strategies.

1. At least 1,000 practice questions — 3 full passes, with 5 passes on the questions you miss
2. 20+ hours of Workspace hands-on — Free Edition (the successor to Community Edition) is enough; get a feel for the real tooling
3. Check the Exam Guide domain weighting first — allocate study hours in proportion to the weighting
4. 5+ full mock exams in real format — timed, aiming for 85%+ accuracy
5. Final 3 days = review only — no new topics; focus on consolidating knowledge

Retake Policy and Cost After a Fail

The Databricks retake policy is as follows.

• 1st fail → 2nd attempt: available after 14 days, $200
• 2nd attempt onward: you can retake after waiting 14 days each time, $200 every time
• Number of attempts: no limit (the official FAQ says you can retake as many times as you like)

On retakes, the questions change even for the same exam version. You cannot see which questions you missed inside the exam UI, so use the per-domain scores on your fail notice to drive focused remediation on your weakest domains.

Pass Rate by Experience Level — Real Numbers

Databricks exam pass rates vary heavily with the candidate's background. Estimates below.

• 1+ year Databricks hands-on + 70 study hours: DEA 95%, DEP 80%, MLA 85%, MLP 65%
• No Databricks + Spark/SQL experience + 100 study hours: DEA 80%, DEP 50%, MLA 70%
• No Databricks + no Spark/SQL + 150 study hours: DEA 60%, DEP not recommended, MLA 50%

Targeting a Professional exam from zero experience drops the pass rate sharply. The highest-pass-rate route is to clear an Associate first, accumulate 6 months of hands-on, then tackle Professional.

Passing Score and Question Formats — Rules to Know

Databricks does not publish passing scores. Its official FAQ states they are "set through statistical analysis and are subject to change as exams are updated with new questions," so the "70%" figure circulating online is a community guess rather than an official criterion. Question formats:

• Single choice: pick 1 of 4 options (most common)
• Multiple choice: pick 2-3 of 5 options (correct count is shown; you must hit all of them)
• Code questions: judge correctness of PySpark or SQL snippets (common on Spark Developer)
• Long scenario: 200-400 character situation followed by an optimal-solution pick (common on Professional)

Multiple-choice items award credit only when every selection is correct — there is no partial credit. Sometimes the brave move is to drop options you are not sure of.

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