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dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. You're getting inconsistent errors when adding new models in your dbt_project.yml. You suspect typos or indentation issues. How can you proactively improve this situation?

A) All of the above.
B) Write tests covering various aspects of dbt_project.yml to proactively catch errors.
C) Use a code editor or IDE with YAML-specific linting and auto-formatting support.
D) Set up a pre-commit hook that runs a YAML validation script before committing changes.

2. (Multiple Select)

A) Temporarily override the buggy macro or model within your dbt project.
B) Submit an issue to the package's GitHub repository if its open-source.
C) Switch to a different dbt package offering similar functionality.
D) Update the packages_yml file to point to your forked version of the package.

3. (Multiple Select)

A) Tables intended to be empty as part of a process truly have zero records.
B) Foreign key relationships are consistently enforced.
C) Columns intended to contain timestamps actually store valid timestamp values.

4. Your development environment uses a smaller-scale version of the production warehouse. You often debug issues that depend on data volume, requiring a way to temporarily "scale up" your development environment. Which strategies are feasible?

A) Selectively snapshot a subset of production data into your development environment.
B) Write dbt macros that use temporary tables to simulate larger datasets during development
C) Run a separate dbt project against production data for testing, but target a staging schema.
D) Dynamically increase resource allocation (CPU, memory) within your data warehouse, if supported.

5. Which two are true for a dbt retry command?
Choose 2 options.

A) It reruns all nodes in your previous invocation statement.
B) It retries the previous command if it is not a syntax error in a model.
C) It reuses selectors from the previous command.
D) It picks up from the error without running all of the upstream dependencies.
E) It reads a manifest.json file to identify the models and tests that failed in the last run.

Solutions: