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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

Question 1

A non-technical user needs to access a specific table generated by your dbt project. Which of the following is the LEAST suitable option?

A. Grant them access to the output from dbt docs generate.
B. Share query results as a CSV file.
C. Create a dashboard in a Bl tool connected to your data warehouse.
D. Set up a read-only connection to the database and guide them with SQL queries.

Question 2

Business requirements call for a report ranking products based on year-over-year (YoY) revenue growth. Historical data must be preserved. What's a potential issue in implementing this directly in a dbt model?

A. ref() functions can hinder performance when working with historical data.
B. Incremental materializations aren't suitable for trend analysis.
C. Data warehouses might not be optimized for period-over-period comparisons.
D. Views cannot perform complex date manipulation required for YoY calculations.

Question 3

A team member proposes directly joining multiple raw source tables into a single large model for convenience.
Which of the following is a potential long-term consequence of this approach?

A. Maintenance complexity increases as business logic or source tables change.
B. Incremental materialization strategies would no longer be applicable.
C. Your DAG might inadvertently develop circular dependencies.
D. The dbt test command might run slower due to the complex join logic.

Question 4

You've added new tests to a dbt model but are unsure how to determine the test coverage. What's a practical first step?

A. Review the compiled SQL files generated by dbt.
B. Examine the output of dbt docs generate and dbt docs serve.
C. Execute dbt test -select failing to identify any currently failing tests.
D. Employ a code coverage tool specifically designed for SQL.

Question 5

Dependency Break

A. Setting up alerts or notifications if dbt runs fail unexpectedly in a production environment.
B. Using the dbt deps command to visualize dependencies and anticipate potential impacts.
C. All of the above.
D. Adding schema tests to the source table to catch structural changes early on.

Solutions: