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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. Your dbt project pulls data from a SaaS application using a third-party adapter. You observe performance issues. Where might you start optimizing?

A) Investigate the third-party adapter's settings or documentation for potential bottlenecks.
B) Check your dbt_project.yml for project-level performance settings.
C) Configure the source as an incremental materialization within your project file.
D) Review the source definitions to see if unnecessary data is being selected.

2. You encounter a runtime error: "Column 'order_date' not found in the target relation". You examine your model and see:SQL

A) Verify that your Jinja templating in other models isn't interfering with column names.
B) Review the fct_orders model's SQL logic to see if it unintentionally removes or renames the 'order_date' column.
C) Ensure there are no downstream models that could be altering the 'fct_orders' table.
D) Check if the fct_orders model or source actually includes an 'order_date' column.

3. You've implemented a macro to standardize descriptions across a set of models. After updating the macro and regenerating docs, the changes don't seem to be reflected. What could be the cause?

A) Changes to macros sometimes require a full re-compilation of all models for the updates to take effect in the documentation.
B) Your macro implementation has a subtle logic error.
C) The documentation generator is caching the old version of the macro.
D) The macro might only be applied to specific model types.

4. Which of the following scenarios would typically warrant the use of production data in a development environment?

A) Training new members of your team on writing SQL and basic dbt models.
B) Development environments should generally avoid using real production data to minimize risks.
C) Debugging a logic error that only manifests itself under the exact conditions of real-world production data.
D) Testing changes to a critical business reporting model for accuracy before deployment.

5. You've added new tests but notice they aren't failing even though you've intentionally introduced errors. What's a LIKELY cause?

A) Your tests have incorrect severity thresholds.
B) Your dbt project has multiple targets configured.
C) The tests are defined in seeds.csv files.
D) You haven't compiled your project since writing the new tests.

Solutions: