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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. You frequently need to spin up short-lived development environments on demand for testing and experimentation. Which dbt feature would streamline this process, especially when it involves custom configuration?

A) Creating multiple deployment environments in dbt Cloud.
B) dbt's -vars flag to override variable values.
C) Using dbt tags to selectively execute parts of your project.
D) dbt profiles defined in your dbt_project.yml file.

2. You've finished a new feature but realize some related models now have minor formatting inconsistencies (e.g., spacing, indentation). What's the best way to handle this alongside your feature changes?

A) Address the formatting issues in the same commits as the feature to avoid extra work.
B) Create a separate branch and commit addressing only the formatting.
C) Briefly explain in your pull request description that some incidental formatting changes were included
D) Use git add -p to stage only the feature-related changes, and leave formatting for a future task.

3. Which of the following scenarios might warrant a git rebase instead of a standard git merge when integrating your changes into the main branch?

A) Your branch has diverged significantly from the main branch with unrelated changes.
B) You want to avoid a merge commit and keep a linear project history.
C) You only want to include a subset of your feature branch commits in the main branch.
D) You need to resolve complex merge conflicts that arise during a standard merge.

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

5. (Multiple Select)

A) Schedule the job to run less frequently to avoid overloading the data warehouse.
B) Consider a CI/CD process that deploys new model changes to a pre-production environment for validation first.
C) Enable email notifications on both job success and failure.
D) Run dbt tests automatically as part of the job.

Solutions: