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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. You're considering adding workflow orchestration to manage dependencies between your dbt project, data loading tasks, and the triggering of downstream Bl updates. Which of the following types of tools would be most suitable for this?

A) CI/CD platforms
B) Data quality monitoring tools
C) General-purpose workflow orchestration tools (e.g., Airflow, Prefect)
D) Data lineage tools

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

3. (Multiple Select)

A) Inserting large volumes of historical transactional data for backfilling purposes.
B) Populating a lookup table with country codes.
C) Defining generic tests that apply to multiple data sources.
D) Loading configuration data for production environments that differs from development settings.

4. You're onboarding a new team member and need to set them up with a personal sandbox environment within your existing project. What factors do you need to consider?

A) How to configure a profile on their machine and guide them to isolate changes to their sandbox.
B) How to provision data warehouse resources if needed, such as a separate schema or potentially even a dedicated database.
C) Whether they need access to production data replicas and how to control this securely
D) All of the above.

5. You're experimenting with new transformations. You want to iterate on a model without affecting data in the production warehouse. Which dbt command should you use along with appropriate flags?

A) dbt test with -defer to temporarily bypass upstream dependencies.
B) dbt seed with -select to load data into production.
C) dbt run with -target to specify a development environment.
D) dbt compile to ensure changes are valid without executing models.

Solutions: