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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. Regular test runs reveal inconsistent and intermittent test failures, despite no obvious changes to models or source dat a. What debugging strategies might you use?

A) Use dbfs logging feature to add detailed output to the test execution.
B) Examine data warehouse performance metrics for resource constraints during test runs.
C) Temporarily switch to a more consistent testing environment.
D) Consider if external dependencies used within dbt tests are themselves unstable.

2. (Multiple Select)

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

3. A new dataset is loaded into your warehouse as a table daily. You need to create a dbt source for it. Which is the MOST essential element to include in your configuration?

A) A source freshness check.
B) An enabled flag set to 'True'
C) Schema and table name.
D) A detailed description in the dbt_projectyml.

4. (Multiple Select)

A) Downstream models relying on the staging model will continue to function.
B) The staging model run will fail.
C) dbt will issue a warning but continue processing.
D) The dbt run will succeed, but the staging model will have null values due to the missing data.

5. dbt Model Snippet:SQL

A) There's a custom macro in use that dynamically changes schemas.
B) Your sources.yml file is not configured correctly-
C) Your dbt_projectyml file has a model-level schema override.
D) The stg_orders model uses a schema config in its own model SQL

Solutions: