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dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. You encounter a runtime error: "Column 'order_date' not found in the target relation". You examine your model and see:SQL

A) Ensure there are no downstream models that could be altering the 'fct_orders' table.
B) Check if the fct_orders model or source actually includes an 'order_date' column.
C) Review the fct_orders model's SQL logic to see if it unintentionally removes or renames the 'order_date' column.
D) Verify that your Jinja templating in other models isn't interfering with column names.

2. You introduce a new test, which unexpectedly leads to many models previously deemed 'successful' now failing.
What should your initial troubleshooting steps include?

A) Check if the test is revealing previously overlooked data quality problems.
B) Verify the test logic doesn't contain errors.
C) Temporarily raise the test's failure threshold to give you time to investigate.
D) Review the test's severity configuration (warning vs_ error).

3. (Multiple Select)

A) Setting up a linter for your SQL files, either as part of your IDE or code editor
B) Implementing a robust suite of schema tests to validate object references-
C) Defining source freshness thresholds to catch issues with missing tables or views-
D) Using the 'defer' option to partially run a DAG and expose errors early

4. You get a compilation error: "Configuration key 'enabled' not found". Where in your dbt_project.yml would you start looking to fix this, and why?

A) In the top-level profiles.yml, as the enabled key is specific to setting up project profiles.
B) Within the models section, as models often use the enabled property.
C) In a seeds.yml file or the seeds section, where enabled is a valid property.
D) Under a specific source definition, as sources can also sometimes be conditionally enabled.

5. You need to roll out a database migration mid-month. It requires changes to some of your dbt model schemas. How would you manage a smooth transition?

A) Deploy model changes alongside database changes, accepting potential errors for a period.
B) Duplicate models, modifying them for the new schema, and switch over in your job configuration.
C) Use feature branches and environment-aware logic in dbt to allow pre- and post-migration versions to coexist temporarily.
D) Pause all dbt jobs until after the database migration is fully completed.

Solutions: