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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. A complex transformation in your dbt project pulls data from an external API. Due to rate limits, this API endpoint cannot be queried frequently in production. How could you handle development and testing of this transformation effectively?

A) Utilize dbt snapshots to capture a static set of API data for use during development and testing.
B) Use environment variables to control API query frequency or switch between live and test data sources.
C) Set up a development environment that utilizes a mock API to simulate external data.
D) All of the above could be part of a strategy.

2. While explaining dbt concepts to a colleague, they ask, "Don't macros just add an extra layer of complexity?" How would you address their concern?

A) "Yes, they do, but their maintainability benefits outweigh the initial complexity."
B) "Macros don't introduce additional complexity but are mainly used for performance tuning."
C) "Macros are primarily needed for legacy projects; new projects should avoid them."
D) "Macros simplify debugging because they break down your dbt model logic."

3. (Multiple Select)

A) Run dbt Is to confirm that all dependencies for the macro and the model are resolved correctly.
B) Check the generated column names in the compiled SQL to ensure they match existing columns in the data.
C) Add {{ log(macros, info=true) statements within the macro to track how it executes-
D) Implement unit tests specifically for the macro to validate its output under different inputs

4. You need to grant readonly access to a new stakeholder on a specific dbt model's output. What factors should influence your approach?

A) If this is a one-time need, or something requiring scalable permission management.
B) The database technology and its permissions model.
C) The default materialized setting defined for models in your dbt_project_yml file.
D) Whether you wish to provide direct table access or a view-based interface.

5. You're using the dbt-utils.get_column_values macro to list out the unique values from a specific source column in the documentation. However, the generated docs don't display any results. Which of the following reasons are most likely?

A) The macro itself might have a bug or an issue with how it's being used
B) There is a limit on how many unique values the macro can display within the documentation.

Solutions: