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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. 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.

2. 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

3. You debug a production issue by running a model in a testing environment with additional logging output. Which dbt features or command-line additions would facilitate this?

A) Custom dbt flags (using -vars) to control the logging level of the SQL execution.
B) Environment variables to conditionally enable verbose logging macros inside the model.
C) The -warn-error flag to treat warnings as errors, making your run fail louder on potential issues.
D) dbt hooks to redirect model-related logs to a centralized logging platform.

4. You want to implement a macro that displays a warning icon next to models in the DAG that haven't been tested. Which of the following would be necessary to make this work?

A) The ability for the macro to query the results of test executions from the dbt run-
B) Configuration in your dbt_projectyml file to associate models with the relevant tests.
C) All of the above.
D) A custom CSS class for the warning icon and a way to apply it dynamically using the macro.

5. Outdated Macro

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

Solutions: