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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. You're merging changes from a feature branch into your main branch. Which of the following Git commands or strategies help keep a clean and easy-to-follow project history?

A) Employing git squash merge for condensing feature branch commits.
B) Utilizing git rebase main before merging to linearize the history.
C) All of the above can be valid strategies, each with different trade-offs.
D) Using git merge to create a merge commit.

2. You encounter a dbt model using a series of nested subqueries to achieve complex filtering. Performance is poor. Which common alternative is likely to provide a performance boost?

A) Rewrite the subqueries into equivalent JOIN statements where possible.
B) Replace the nested logic with a custom dbt macro to improve modularity.
C) Materialize the intermediate results of the subqueries as snapshots.
D) Convert subqueries into nested CTEs for better readability.

3. You identify the need to refactor several models with similar transformations. Which of the following is the first step to increase modularity and promote the DRY philosophy?

A) Create CTEs to segment logical steps within the existing model SQL.
B) Use a text editor's "find and replace" function to update repetitive code blocks.
C) Analyze commonalities and differences in the transformations to determine refactoring potential.
D) Test individual models thoroughly to establish a baseline before making changes.

4. You have a dbt model that performs complex aggregations. During development, you notice some models take excessively long to run, but they ultimately complete without errors. Which of the following might be true?

A) The models are at risk of failing if the source data grows substantially.
B) These models likely have issues with joins or CTE structure impacting performance.
C) This behavior automatically triggers an optimization feature within dbt.
D) Downstream models will inherit the performance issues.

5. You've configured your project to include both schema and data tests in the generated documentation. A user reports the tests are visible but don't show any execution results (pass/fail status). Why might this be happening?

A) The project settings are explicitly configured to hide test results in the documentation.
B) Your data pipeline hasn't been executed recently, so there are no recent test results.
C) The type of test you're using is not supported for displaying results in the documentation.
D) The documentation generator has a known limitation on how test results are displayed.

Solutions: