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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. You frequently need to debug model failures mid-DAG during development. Which of the following dbt features would be MOST helpful in this scenario?

A) The dbt run -fail-fast flag
B) The dbt test command
C) dbt snapshots
D) Macros for modularizing SQL code

2. You need to build a model to identify customers who haven't placed orders in the past 90 days. Performance with this model is critical, as it will trigger a re-engagement campaign. Which strategy is likely to yield the best results?

A) IJse a window function to rank order dates for each customer and filter those where the most recent order is older than 90 days.
B) Create a materialized view that contains only active customers and join against the orders table.
C) Join the customers and orders table, group by customer ID and use a HAVING clause to filter inactive customers.
D) Filter the orders table for dates within the past 90 days, then find customers without corresponding order IDs.

3. Several of your users report that dashboards built on top of your dbt models are intermittently displaying stale dat a. Which of the following might be a potential cause?

A) Source freshness checks are configured incorrectly, allowing older data to be processed
B) All of the above.
C) There are dependency issues in your DAG affecting execution order.
D) Some models have incorrect materializations, causing them to not update when expected

4. Your team follows a convention where commit messages include a relevant issue tracker reference (e.g., JIRA- 123). You've been working on multiple features and fixes. Which of the following best promotes clean commits?

A) Don't worry about commit messages, as the pull request title and description are more important.
B) Commit all your changes at once with a generic message like "Project updates."
C) Break down your changes into smaller, atomic commits, each referencing the issue it addresses.
D) Include all relevant issue references in a single commit message when you're ready to create a pull request.

5. (Multiple Select)

A) model-paths
B) materialized: view
C) test-paths
D) database

Solutions: