PR review workflows for dbt changes - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the main purpose of a PR review workflow in dbt projects?

To ensure that changes to dbt models, tests, and documentation are correct, follow best practices, and do not break existing data pipelines before merging into the main branch.

beginner

Which dbt command is commonly run during PR reviews to validate changes?

The dbt run command to build models and dbt test to run tests, ensuring the new changes work as expected.

intermediate

Why is it important to run dbt docs generate in a PR workflow?

It updates the project documentation to reflect any changes in models or sources, helping reviewers understand the impact and maintain clear data lineage.

intermediate

What role do automated CI/CD pipelines play in PR review workflows for dbt?

They automatically run dbt commands like dbt run, dbt test, and dbt docs generate on PRs to catch errors early and speed up the review process.

beginner

Name one best practice for managing dbt PR reviews to keep the data pipeline stable.

Keep PRs small and focused on a single change, run all tests, and review model dependencies carefully to avoid unintended side effects.

What is the first step in a typical dbt PR review workflow?

A Run <code>dbt docs generate</code>

B Merge the PR immediately

C Run <code>dbt run</code> to build models

D Delete the branch

Running dbt run builds the models and checks if the changes work before merging.

Which command checks if your dbt models meet quality standards during PR review?

A <code>dbt test</code>

B <code>dbt run</code>

C <code>dbt seed</code>

D <code>dbt snapshot</code>

dbt test runs tests defined in your project to validate data quality.

Why should documentation be updated in a dbt PR workflow?

A Documentation is not important

B To confuse reviewers

C To slow down the review process

D To reflect changes and maintain clear data lineage

Updated documentation helps everyone understand the changes and their impact.

What is a benefit of using automated CI/CD pipelines in dbt PR reviews?

A They automatically run tests and catch errors early

B They make the process slower

C They replace human reviewers

D They delete branches automatically

Automation speeds up reviews and reduces human error by running tests automatically.

Which practice helps keep dbt PR reviews effective?

A Making very large PRs with many changes

B Keeping PRs small and focused

C Ignoring test failures

D Skipping documentation updates

Small, focused PRs are easier to review and less likely to cause issues.

Explain the key steps in a PR review workflow for dbt changes.

Think about how you check your work and share updates with your team.

Describe why automated testing and documentation are important in dbt PR reviews.

Consider how automation and clear info help teamwork.