dbt Labs dbt Analytics Engineering Certification : dbt-Analytics-Engineering

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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. You're working with a development data warehouse meant to closely mirror production. To make code more portable between environments, you opt to use environment variables for connection details. What's the best way to manage these?

A) Set environment variables manually in your shell session prior to running dbt commands.
B) Store sensitive credentials in plain text in the dbt_project.yml file, relying on file system permissions.
C) Define environment variables as part of your CI/CD tool's job configuration.
D) Use a dedicated secrets manager integrated with your dbt project.

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

3. You've added new tests to a dbt model but are unsure how to determine the test coverage. What's a practical first step?

A) Review the compiled SQL files generated by dbt.
B) Employ a code coverage tool specifically designed for SQL.
C) Execute dbt test -select failing to identify any currently failing tests.
D) Examine the output of dbt docs generate and dbt docs serve.

4. You get a warning during dbt run:WARNlNG: Found 100 rows in 'stg_customers' that will become duplicates in the 'dim_customers' target.

A) Investigate your dim_customers modeling logic to ensure a unique key is correctly used to prevent duplicates.
B) Increase the memory allocated for the database to handle the large number of duplicates.
C) Update the stg_customers source definition to include filtering logic to remove duplicate rows.
D) It's safe to ignore this warning, as de-duplication is handled automatically by dbt.

5. A common dimension table is used in 80% of your models. What might be a side effect of frequently changing the structure of this dimension?

A) It would cause errors in models that are not directly dependent on this dimension.
B) You might need to update a large number of downstream models.
C) The dbt docs output would become unmanageable.
D) Compile times would significantly increase across the project.

Solutions: