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dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. Your dbt project contains sensitive dat
a. You need to load seed data (e.g., lookup tables) while ensuring it's not accidentally committed to version control. How can you best achieve this?

A) Write the seed data into log files, excluding them from version control.
B) Create separate seed files and add them to your .gitignore or equivalent.
C) Employ a secrets management tool and integrate it with your dbt deployment.
D) Utilize environment variables to store seed data values.

2. You've created a complex lineage macro, and you want to include unit tests for the macro logic itself. How might you approach this?

A) Utilize dbt's built-in macro testing framework.
B) Include test cases for the macro within your model-level schema.yml files.
C) Currently, there is no standard way to directly unit test macros within a dbt project
D) Write a Jinja script that programmatically tests various input/output scenarios of your macro.

3. While refactoring models, you accidentally drop a table in your development environment that mirrors production. Which inherent characteristic of development environments likely contributed to this issue?

A) Developers working in development environments might expect the ability to make and revert changes with fewer consequences.
B) Both A and C-
C) Development datasets might be incomplete or outdated compared to productiom
D) Development environments often have less stringent permissions to facilitate experimentation.

4. A downstream process relies on a critical model to be fully refreshed daily. How can you enforce this behavior using dbt_project.yml configuration?

A) Set the model's materialized property to incremental _ refresh-
B) Configure a schedule property within the models: section.
C) Apply a post-hook that triggers a full refresh of the model.
D) Update the model configuration to materialized: table and add a persist_docs: true property.

5. Your dbt project contains both source descriptions (within your sources.yml file) and model descriptions. You notice that the source descriptions don't appear in the generated docs alongside the relevant models. What's then most likely reason?

A) A recent update to dbt has changed how source descriptions are integrated into the documentation.
B) Source descriptions only appear when you navigate directly to the Sources section of the documentation_
C) Source tables need to be explicitly tagged within your model configuration for their descriptions to appear
D) Your dbt_projectyml file is lacking the proper configuration to include source descriptions.

Solutions: