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dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. Security best practices dictate that data warehouse access should follow a "least privilege" principle. How would you implement this within dbt environments?

A) Leverage dbt's built-in grants mechanism to fine-tune object-level access within models.
B) Restrict access to sensitive data in development and staging environments using encryption or masking techniques.
C) A combination of the above approaches.
D) Create separate data warehouse user accounts for development, staging, and production, each with minimal required permissions.

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) Environment variables to conditionally enable verbose logging macros inside the model.
B) The -warn-error flag to treat warnings as errors, making your run fail louder on potential issues.
C) Custom dbt flags (using -vars) to control the logging level of the SQL execution.
D) dbt hooks to redirect model-related logs to a centralized logging platform.

3. You have a model that assumes an input dataset will always be sorted by a particular column. Unfortunately, this is not always true. What might be the best way to make your model more robust?

A) Implement a custom test to fail the model whenever the sorting assumption is violated.
B) Add an explicit ORDER BY clause to the start of your model's SQL.
C) Accept that this is a source data issue and cannot be addressed within dbt.
D) Increase memory allocated to your data warehouse in hopes the sorting happens by default.

4. You've created a macro to display upstream dependencies differently from downstream dependencies in the DAG. However, after re-generating the documentation, the visualization doesn't seem to have changed. What should you investigate?

A) Update the cache expiration settings of your web browser.
B) Ensure the macro is named correctly and located in the appropriate directory (macros folder) of your dbt project.
C) The built-in DAG functionality might have limitations preventing this type of customization.
D) Verify that your web browser supports the CSS and JavaScript used for custom DAG styling.

5. dbt Model Snippet:SQL

A) Validating that the column names generated by the Jinja loop would be valid SQL identifiers.
B) Checking that the date_part() function is compatible with your database-
C) Making sure the source table fct_orders contains the expected columns.
D) Ensuring the grains variable is defined in dbt_project.yml or a macro.

Solutions: