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dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. You have a dbt project with models defined as views. After deploying to a production database, the view objects are present, but no data is displayed when querying them. What might be the root cause?

A) There's a bug in dbt's SQL generation that specifically affects views in certain environments.
B) Dbt view materializations behave differently in production.
C) Your dbt job didn't run successfully, so the views were created empty.
D) Permissions granted in production don't allow reading data from the underlying tables.

2. You're setting up a development environment in a cloud data warehouse with usage-based billing. How might you approach cost management in this context?

A) Create a separate profiles.yml specifically for the development environment that utilizes smaller data warehouse resource classes.
B) Use dbt seeds to load smaller datasets for testing, reducing overall data processing costs.
C) Set up usage alerts in your data warehouse that notify the team if costs exceed certain thresholds.
D) Implement automated scripts to shut down the development environment during non-working hours.

3. A raw source table undergoes periodic bulk updates that temporarily disrupt dependent models when they are running. Which of the following strategies might help prevent errors in these models? (Choose two)

A) Implement incremental materializations if possible.
B) Utilize snapshots to capture the state of the raw table before the bulk updates.
C) Schedule dbt jobs to run after the bulk updates are typically complete.
D) Add retries with a delay to any 'ref calls referencing this table.

4. Code Review

A) A second reviewer assigned specifically to assess the potential side effects of the fix.
B) An explanation of the error's root cause and the reasoning behind your chosen solution.
C) An updated lineage graph produced by dbt docs generate to visualize the fix's impact on dependencies.
D) Additional schema tests on the model to prevent similar issues from recurring.

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

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

Solutions: