dbt Labs dbt-Analytics-Engineering : dbt Analytics Engineering Certification Exam

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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

Question 1

(Multiple Select)

A. Testing performance under a simulated heavy load.
B. Catching subtle errors or discrepancies that may not cause immediate functional issues.
C. Validating changes during development before deploying a new dbt model version.
D. Ensuring data synchronization after a migration.

Question 2

A pull request targeting your main branch has been approved in code review but requires changes after automated tests fail. To address this, you should:

A. Disable the automated tests temporarily, merge, and re-enable tests later.
B. Merge the pull request despite the failing tests, resolving the issues in a subsequent fix.
C. Directly modify the branch by pushing commits to fix the tests.
D. Ask the branch author to add new commits fixing the issues. Then merge when tests pass.

Question 3

You're reviewing a pull request and notice a subtle logic error that wasn't caught in automated tests. How do you best approach this within the code review?

A. Reject the pull request outright and ask the author to fix the error and resubmit.
B. Create a separate issue in the issue tracker, detail the bug, and reference it in the pull request.
C. Leave a comment explaining the error and provide a suggestion for how to fix it.
D. Simply fix the error directly in the pull request without leaving a comment.

Question 4

You've been tasked with customizing the appearance of the generated documentation. Which of the following would be the most efficient starting point?

A. Search for third-party dbt packages designed for documentation customization.
B. Investigate overriding the default CSS and JavaScript files used by the documentation site.
C. Write a macro that programmatically generates a new documentation structure based on your requirements_
D. Edit the json files created during the dbt docs generate process to adjust the display of information.

Question 5

You're setting up CI/CD for your dbt project to automate deployments. Which aspects of your testing strategy might need adaptation for a production-focused CI/CD workflow?

A. Disabling all tests that rely on creating new tables, to avoid impacting the production database.
B. Including smoke tests that run in production to verify core functionality after a deployment.
C. Emphasizing tests with longer run times for thorough checks before deployment.
D. Prioritizing tests with strict thresholds to avoid false positives from minor data variations in production.

Solutions: