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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. You need to test whether the values of a specific column have changed over time. What might be the best approach to implement this kind of test within your dbt project?

A) Use a snapshot to preserve a point-in-time reference of the column.
B) Use a custom 'accepted_values' test together with a dbt seed.
C) rely on native version history features in your data warehouse (if available).
D) Write a dbt macro to create a temporary table with historical data to compare against.

2. A new feature you're developing requires significant changes across multiple models in your dbt project. Which branching strategy would be the most suitable and why?

A) Create separate branches for each model you'll be modifying to minimize conflicts.
B) Avoid using branches altogether, as they can introduce unnecessary complexity into a dbt workflow
C) Create a feature branch for the new development to isolate your work.
D) Work directly on the main branch, as it ensures your changes are always up-to-date.

3. You discover a vulnerability in a third-party lineage-enhancing dbt package you use. Where might you first look for information and potential fixes?

A) Centralized dbt documentation or a discussion forum.
B) Directly in the manifest.json or packages.yml files within your project
C) Only the authors of the dbt package would be able to address the vulnerability.
D) The GitHub repository or documentation of the dbt package.

4. You're debugging a runtime error. Analyzing the compiled SQL alone doesn't provide enough clues to find the root cause. What's your next debugging step?

A) Examine the dbt logs for more context about the model's execution and dependencies.
B) Disable custom macros to see if one of them is interfering-
C) Modify the compiled SQL directly and re-run the query against your warehouse.
D) Compare compiled SQL from a previous successful run to the current failing version-

5. (Multiple Select)

A) Create views on top of dbt model tables, providing a stable abstraction layer for the Bl tools.
B) Establish a naming convention in dbt that external tools can rely upon.
C) Instruct dbt to rename columns rather than dropping and recreating them during updates.
D) Avoid refactoring dbt models that are directly queried by external tools.

Solutions: