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dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. A project stakeholder prefers a text-based lineage representation over the graphical DAG. Which of these approaches might be a suitable alternative?

A) Utilize a macro that generates a Markdown list representation of model dependencies.
B) Disable the DAG visualization entirely within the generated documentation.
C) Extend the dbt documentation framework to create a custom text-based lineage view
D) Rely on third-party tools that specialize in parsing dbt projects to produce textual lineage outputs

2. Your data warehouse is undergoing a migration to a different vendor (e.g., Snowflake to BigQuery). Which category of tools might play a critical role in ensuring a smooth transition of your dbt project?

A) Cloud infrastructure management tools
B) SQL dialect translation tools
C) Data virtualization tools
D) dbt adapters

3. You're building tests for a dbt model that performs a join across multiple large datasets. You notice performance issues - tests are taking a very long time to run. What might be optimization strategies?

A) Focus on tests that can validate a subset of the data rather than the entire dataset.
B) Create snapshots of the source tables and test on those snapshots instead.
C) Refactor model SQL to use incremental logic to avoid full table scans.
D) Accept that tests on complex models will always be slow.

4. 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) All of the above.
C) Provide a comprehensive summary of the intent and scope of the changes within the pull request description.
D) Resubmit the pull request as several smaller, more focused pull requests.

5. You're getting inconsistent errors when adding new models in your dbt_project.yml. You suspect typos or indentation issues. How can you proactively improve this situation?

A) Write tests covering various aspects of dbt_project.yml to proactively catch errors.
B) Use a code editor or IDE with YAML-specific linting and auto-formatting support.
C) All of the above.
D) Set up a pre-commit hook that runs a YAML validation script before committing changes.

Solutions: