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100% dbt Labs dbt-Analytics-Engineering Guaranteed Success With Testing Engine

Exam Code: dbt-Analytics-Engineering

Exam Name: dbt Analytics Engineering Certification Exam

Updated: Jun 01, 2026

Number: 359 Q&As with Testing Engine

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dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. A teammate opens a pull request with numerous changes across many files. To help with the review process, you would suggest that they:

A) Use detailed commit messages to explain the rationale behind each set of related changes.
B) Resubmit the pull request as several smaller, more focused pull requests.
C) Provide a comprehensive summary of the intent and scope of the changes within the pull request description.
D) All of the above.


2. Several of your users report that dashboards built on top of your dbt models are intermittently displaying stale dat a. Which of the following might be a potential cause?

A) There are dependency issues in your DAG affecting execution order.
B) Source freshness checks are configured incorrectly, allowing older data to be processed
C) Some models have incorrect materializations, causing them to not update when expected
D) All of the above.


3. Which of the following scenarios would likely require you to use the -no-compile flag with the dbt docs generate command?

A) Updating existing column descriptions to reflect recent upstream changes.
B) Running the documentation generation process in a production setting where compilation could introduce risks.
C) You've made syntax errors in your model definitions and want to prevent documentation errors due to compilation failures.
D) Adding a new model and its corresponding description in your project.


4. You're experimenting with new transformations. You want to iterate on a model without affecting data in the production warehouse. Which dbt command should you use along with appropriate flags?

A) dbt seed with -select to load data into production.
B) dbt compile to ensure changes are valid without executing models.
C) dbt test with -defer to temporarily bypass upstream dependencies.
D) dbt run with -target to specify a development environment.


5. You've defined a complex custom singular test. While testing it initially on a development dataset, it times out. Which optimization techniques might be worth trying?

A) Ensure the test SQL uses appropriate indexes in the underlying database.
B) Rewrite the test using a dbt macro for better maintainability.
C) Remove any redundant joins or subqueries from the test logic.
D) Disable the test in production environments and run it only in development.


Solutions:

Question # 1
Answer: C
Question # 2
Answer: D
Question # 3
Answer: B
Question # 4
Answer: D
Question # 5
Answer: A,C

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