dbt Analytics Engineering Certification practice examsIn development
dbt Analytics Engineering Certification
Analytics engineering with dbt: models as SELECT statements with ref and source generating the DAG, the materialisations and when each applies, staging, intermediate and mart structure, tests that pass on zero rows, documentation and lineage, Jinja and macros, and deployment with Slim CI.
What you get
Papers are cut from the bank and weighted like the real exam, and no question appears in two of them. Every wrong answer comes back on later days until you have it right.
What the exam covers
| Models, materialisations and project structure | Not published |
| Testing, documentation, Jinja, deployment and troubleshooting | Not published |
Two sample questions
1. Where are model and column descriptions defined?
- In the SQL comments only
- In the profiles file
- In the manifest directly
- In YAML properties files — correct
Why: Descriptions are declared in YAML properties files alongside tests and other model properties.
2. What does project structure (staging, intermediate, marts) improve?
- Clarity — correct
- Query cost alone
- The docs theme
- The Git remote
Why: A layered structure improves maintainability and clarity of the project.
The real dbt Analytics Engineering Certification exam
| Length | 120 minutes |
|---|---|
| Questions | 65 |
| Pass mark | Not published; dbt Labs reports a scaled score with pass or fail |
| Price | $200 USD |
| Recommended before you sit it | None formally; dbt Labs recommends six months or more of hands-on experience with dbt. |
| Valid for | 2 years |
Exam facts as published by dbt Labs; always check the vendor’s page before you book.
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