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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) Manually rename the conflicting tables in the database prior to running any dbt jobs.
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) Update your dbt models to use aliases that avoid the name collisions.

2. You've written dbt tests that assume a certain distribution of values in a column. Later, the upstream process generating the data changes unexpectedly. What's the most likely consequence?

A) The tests will fail, preventing the changed data from being loaded, preserving the old behavior.
B) Your dbt models may silently produce incorrect results due to the changed distribution.
C) dbt will automatically adjust your tests to accommodate the new distribution.
D) The changed data distribution has no impact on downstream dbt models.

3. A marketing team needs a model to calculate the 30-day rolling average of new customer signups. The raw signups table is very large and updated hourly. Which approach strikes the best balance between accuracy and computational efficiency?

A) An incremental model that updates the rolling average calculations only for new signup records.
B) An ephemeral model that calculates the rolling average within a series of complex CTEs.
C) A table materialization that completely rebuilds the rolling average daily.
D) A view materialization that recalculates the 30-day rolling average for each query.

4. You need to create a model that combines data from a large fact table with smaller dimension tables. Performance is paramount, and the data in the fact table updates incrementally but frequently. Which materialization strategy is likely to provide the optimal balance of efficiency and freshness?

A) Materialize the fact table as a table and the dimension tables as incremental models.
B) Materialize the fact table as an incremental model and the dimension tables as views.
C) Materialize all tables (fact and dimensions) as views.
D) Materialize all tables (fact and dimensions) as tables.

5. While working on a feature branch, you need to incorporate some critical bug fixes that were merged into the main branch. Which Git commands, or combination of commands, would you use?

A) git rebase main
B) git merge main
C) git checkout main followed by git pull
D) Both B and C are viable options.

Solutions: