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dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. You're onboarding a new dbt project to an existing production database. You find tables that might conflict with naming conventions used by dbt. What's a proactive way to handle this?

A) Update your dbt models to use aliases that avoid the name collisions.
B) Add configuration settings to your database connection profile instructing dbt to use a specific schema prefix.
C) Customize the schema property in your dbt_project.yml to namespace dbt-generated objects.
D) Manually rename the conflicting tables in the database prior to running any dbt jobs.

2. You discover a downstream model, dim products, references an outdated raw dataset, raw_product_archive, intended for historical analysis and not active products. What's the most appropriate corrective action?

A) Leave it as-is since it's not actively causing any errors currently.
B) Update the dim_products model to reference the active product dataset.
C) Add a schema test to dim_products to catch potential errors.
D) Delete the raw_product_archive source, so it can't be used accidentally.

3. You need to run a dbt job that performs a long-running data cleansing operation. The job occasionally times out. Which of the following are potential solutions?

A) Use a dbt macro to retry the cleansing operation with a backoff strategy within the model itself-
B) Schedule the job to run concurrently with other dbt models to maximize resource usage-
C) Increase the timeout setting in your CI/CD tool or dbt job configuration.
D) Break the cleansing logic into multiple models, chaining them with dependencies-

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

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

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

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

Solutions: