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dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. Which of the following scenarios might warrant you using the --no-compile flag with dbt docs generate? When you have syntax errors in your dbt models that would prevent compilation.

A) When you want to quickly preview documentation changes without triggering a full model build.
B) When your CI/CD pipeline requires you to generate documentation as a separate step from model compilation.
C) When you're deploying documentation updates to a production environment and want to minimize risks associated with model
D) recompilation.

2. While setting up profiles.yml, a colleague suggests hardcoding database passwords directly. You propose alternative approaches for the sake of security. Which of the following are valid arguments in favor of your approach?

A) Credentials often need to be rotated, and hardcoding them would make updates cumbersome.
B) Using environment variables or secrets managers improves maintainability and auditability of credentials.
C) All of the above.
D) Hardcoded credentials can be accidentally committed to version control, posing a security risk.

3. You need a way to document relationships between raw source tables, dbt models, and downstream Bl dashboards. What type of tool would be best suited for this task?

A) A data profiling tool
B) A version control system
C) dbt's built-in documentation (dbt docs)
D) A data catalog

4. You're collaborating with a third-party analytics vendor who requires access to a subset of processed data within your dbt project for integration into their platform. How might you approach this securely?

A) Utilize a dbt package to export specific models to CSV or JSON format and provide those files to the vendor
B) A combination of the above might be needed, depending on the vendor's integration capabilities-
C) Generate a dedicated readout schema in your data warehouse with appropriate grants for the vendor's user
D) Set up a data sharing mechanism through your data warehouse, if it supports this functionality, enabling controlled access.

5. Outdated Macro

A) Create a new source table specifically for testing the macro without impacting production data.
B) Run dbt Is to identify all locations where the macro is used and ensure compatibility.
C) Write unit tests to validate the macro's output with a variety of input scenarios, including edge cases.
D) Deploy the modified macro to a staging environment and run a representative subset of dbt models.

Solutions: