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Updated: Jun 07, 2026
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dbt Labs dbt Analytics Engineering Certification Sample Questions:
1. (Multiple Select)
A) Your tests are likely configured to raise warnings rather than cause true errors.
B) Tests must be explicitly included in a model's test property for them to block model creation.
C) A 'post-hook' in your project configuration automatically fixes the issues flagged by tests.
D) Your dbt run command includes flags that override failing tests.
2. 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) The -warn-error flag to treat warnings as errors, making your run fail louder on potential issues.
B) dbt hooks to redirect model-related logs to a centralized logging platform.
C) Custom dbt flags (using -vars) to control the logging level of the SQL execution.
D) Environment variables to conditionally enable verbose logging macros inside the model.
3. (Multiple Select)
A) Tests comparing the latest data against historical baselines.
B) not_null and unique tests on primary key columns.
C) Schema tests to confirm the existence of tables and columns.
D) Tests checking for row count discrepancies between source systems and target tables.
4. Security best practices dictate that data warehouse access should follow a "least privilege" principle. How would you implement this within dbt environments?
A) Create separate data warehouse user accounts for development, staging, and production, each with minimal required permissions.
B) Restrict access to sensitive data in development and staging environments using encryption or masking techniques.
C) A combination of the above approaches.
D) Leverage dbt's built-in grants mechanism to fine-tune object-level access within models.
5. You're reviewing a pull request and notice a subtle logic error that wasn't caught in automated tests. How do you best approach this within the code review?
A) Simply fix the error directly in the pull request without leaving a comment.
B) Reject the pull request outright and ask the author to fix the error and resubmit.
C) Create a separate issue in the issue tracker, detail the bug, and reference it in the pull request.
D) Leave a comment explaining the error and provide a suggestion for how to fix it.
Solutions:
| Question # 1 Answer: A,D | Question # 2 Answer: A,C,D | Question # 3 Answer: B,C,D | Question # 4 Answer: C | Question # 5 Answer: D |
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