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dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. Which of the following scenarios might warrant you using the --no-compile flag with dbt docs generate? When you have syntax errors in your dbt models that would prevent compilation.

A) When you want to quickly preview documentation changes without triggering a full model build.
B) recompilation.
C) When your CI/CD pipeline requires you to generate documentation as a separate step from model compilation.
D) When you're deploying documentation updates to a production environment and want to minimize risks associated with model

2. You're setting up a new dbt project and want to customize the naming of compiled objects in the data warehouse. Which section of the dbt_project.yml file is the most relevant?

A) vars:
B) models:
C) seeds:
D) snapshots:

3. A package you depend on has released a major update with breaking changes. How might you approach the migration?

A) Pin the package to the older version in your packages.yml file and plan a controlled migration.
B) Review the release notes and the migration guide provided by the package maintainers.
C) Update your packages.yml to point to the new version and immediately refactor all your dependent models.
D) Fork the package and maintain your own custom version indefinitely.

4. (Multiple Select)

A) Tests comparing the latest data against historical baselines.
B) Schema tests to confirm the existence of tables and columns.
C) Tests checking for row count discrepancies between source systems and target tables.
D) not_null and unique tests on primary key columns.

5. You've introduced a new series of dbt models and want to run them in isolation to verify results before integrating them into the main build process. Which dbt command options and flags are likely to be useful?

A) dbt run -s to target models with a specific tag
B) dbt run -m +model_path to explicitly select a model by its file path.
C) dbt build -exclude model_name to temporarily skip certain models.
D) dbt test --select source name to validate the new models' source data.

Solutions: