dbt Labs

dbt Analytics Engineering Certification

Develop, test, document, and deploy dbt models like a professional analytics engineer.

Verified against the official dbt Labs exam guide — July 6, 2026

Exam code

65

Questions

120 min

Duration

65%

Pass mark

Exam domains

Developing dbt modelsFree samples →Study guide →46%
Testing and documentationFree samples →Study guide →24%
Deployment and orchestrationFree samples →Study guide →17%

Frequently asked questions

How many questions are on the dbt Analytics Engineering Certification exam?

The dbt Analytics Engineering Certification exam has 65 questions and lasts 120 minutes. You need 65% to pass.

What score do you need to pass dbt Analytics Engineering Certification?

The passing score for dbt Analytics Engineering Certification is 65%. DataCertPrep's timed mock exams use the same pass mark, length, and timing as the real dbt Labs exam.

How hard is the dbt Analytics Engineering Certification exam?

dbt Analytics Engineering Certification is a scenario-based dbt Labs exam — it tests applied judgment, not memorization. Most candidates who consistently score above the 65% pass mark on realistic mock exams pass the real exam. DataCertPrep's readiness score is weighted by the official domain weights so you know when you're ready.

What is the best way to prepare for dbt Analytics Engineering Certification?

Work through the domain study guides, drill scenario-based practice questions until your weak domains catch up, use spaced-repetition flashcards for facts and limits, then confirm with a full-length timed mock exam. DataCertPrep includes all four for dbt Analytics Engineering Certification, verified against the official dbt Labs exam guide on 2026-07-06.