Exam Name: dbt Analytics Engineering Certification Exam
Certification Provider: dbt Labs
Corresponding Certification: Analytics Engineers
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Updated: Sep 25, 2026
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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Deployment and Orchestration | - Environments and workflows
|
| Topic 2: Analytics Engineering Foundations | - SQL proficiency for analytics
|
| Topic 3: dbt Core Concepts | - Project structure and configuration
|
| Topic 4: Testing and Data Quality | - Data validation strategies
|
| Topic 5: Documentation and Lineage | - Data lineage understanding
|
dbt Labs dbt Analytics Engineering Certification Sample Questions:
(Multiple Select)
- A. Macros for fiscal period calculations or string manipulations.
- B. Snapshots that track the state of your sources on a schedule.
- C. Models addressing a domain-specific use case (e.g., subscription analytics).
- D. A custom adapter to connect to a niche data source.
Correct Answer: A,C 🗳️
Explanation: Only visible for Prep4away members. You can sign-up / login (it's free).
Your team decides to strictly enforce a linear history on the main branch. How does this decision impact your development and merge workflow?
- A. Feature branches would likely need to utilize git rebase before merging.
- B. Pull requests would always show a single commit upon merging with the main branch.
- C. All of the above.
- D. Code reviews might need to focus on the overall change in the pull request instead of individual commits.
Correct Answer: C 🗳️
Explanation: Only visible for Prep4away members. You can sign-up / login (it's free).
You introduce a new test, which unexpectedly leads to many models previously deemed 'successful' now failing.
What should your initial troubleshooting steps include?
- A. Review the test's severity configuration (warning vs_ error).
- B. Verify the test logic doesn't contain errors.
- C. Check if the test is revealing previously overlooked data quality problems.
- D. Temporarily raise the test's failure threshold to give you time to investigate.
Correct Answer: A,B,C 🗳️
Explanation: Only visible for Prep4away members. You can sign-up / login (it's free).
While reviewing a dbt project, you notice a pattern where ref() calls are chained together:
Model A references Model B, which in turn references Model C.
What's a potential downside of this pattern?
- A. Test results might become less reliable.
- B. Model dependencies become harder to track and understand.
- C. Version control conflicts become more likely.
- D. Decreased performance due to unnecessary materializations.
Correct Answer: B 🗳️
Explanation: Only visible for Prep4away members. You can sign-up / login (it's free).
You're refactoring a complex dbt model and realize breaking it down into smaller models would improve readability. However, you're concerned about performance overhead due to the additional materializations. How would you address this concern?
- A. Switch to incremental materializations for all intermediate models.
- B. Utilize ephemeral materializations for intermediate steps, where appropriate_
- C. Rely on source freshness checks to determine if intermediate models need to be rebuilt_
- D. Profile your models to pinpoint bottlenecks and optimize those specifically.
Correct Answer: D 🗳️
Explanation: Only visible for Prep4away members. You can sign-up / login (it's free).
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