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dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. You've built a macro to implement a common custom test pattern. When using this macro in multiple models, you realize the tests are running much slower than expected. What might be the cause?

A) The macro is accidentally triggering downstream model rebuilds.
B) The macro's SQL logic is inefficiently querying the model or other data.
C) This is expected behavior, and custom tests always incur a performance penalty.
D) Too many tests are being defined on individual models.

2. "Sometimes columns that should have data are showing null values!" exclaims a colleague. What initial debugging steps would you suggest beyond examining the model logic itself?

A) Verify that any where clauses or filters in the model are not inadvertently too restrictive.
B) Check any recent changes to source definitions or transformations on upstream data.
C) Review if there are snapshots or merge strategies that might impact how the table is updated.
D) All of the above.

3. Your company wants to standardize pull request templates. Which information would be beneficial to include in such a template?

A) Checkboxes for confirming that tests have been run and documentation has been updated if necessary.
B) Specific instructions for the reviewer, if certain aspects need special attention.
C) A section to link to relevant design documents or specifications.
D) All of the above.

4. You've created a new model ref_country_codes. It references a raw table in your data warehouse raw_web_events. To ensure this dependency is valid and up-to-date, you should include which element in your model definition?

A) A custom macro to validate data in raw web events
B) A dbt seed file populating ref_country_codes
C) A source freshness test on raw web events
D) A schema test on ref_country_codes

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

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

Solutions: