After adding several new models to your project, you want to execute only those models and their direct dependencies. Which command combination best achieves this?

• A. dbt run followed by dbt test
• B. dbt build
• C. dbt run -models +model namel +model name2 ...
• D. dbt run -exclude model namel model name2

You've included some custom visualizations within your dbt project documentation (e.g., network graphs) but notice they don't render correctly when the site is generated. What might be the cause?

• A. Your visualization definitions haven't been configured correctly in the project YAML files
• B. Custom visualizations usually require additional JavaScript libraries to be included.
• C. Custom visualizations are not directly supported by dbt's built-in documentation.
• D. The dbt docs generate command has a strict limit on the file size of visualizations it can process-

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

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

You've identified the same complex date calculations repeated across multiple models. Which approach aligns with modularity and DRY (Don't Repeat Yourself) principles?

• A. Continue copying the date calculation logic into each relevant model.
• B. Write a custom Python function and import it into your dbt project.
• C. Create a macro, encapsulating the date calculations, and reference it in the affected models.
• D. Introduce a new intermediate table to store the result of the date calculations.