dbt Labs dbt-Analytics-Engineering Test Passed : dbt Analytics Engineering Certification Exam

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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. (Multiple Select)

A) Utilize a YAML validator tool independently of dbt to check for general formatting errors.
B) Introduce a global persist_docs setting within your dbt_project.yml file to resolve schema inconsistencies.
C) Refer to the dbt documentation for a comprehensive list of valid properties within schema files.
D) If available, compare your schema.yml to a previous working version to spot problematic changes.

2. You discover a model sorting large amounts of data using an ORDER BY clause with several columns. Performance needs to be increased. What's the FIRST step in your optimization process?

A) Examine query execution plans to identify bottlenecks and potential index usage.
B) Add a LIMIT clause to restrict the number of records sorted.
C) Remove unnecessary columns from the ORDER BY clause.
D) Change the materialization from a 'table' to a 'view'.

3. "The compiled SQL looks correct, but I'm still getting wrong results in my model!" What might you suggest to a colleague having this issue?

A) All of the above.
B) Review the logic in 'on-run-start' or 'on-run-end' hooks, as they could be modifying data-
C) Examine the source tables for data quality issues like duplicates or missing values.
D) Test the model in isolation using the dbt run -select flag to narrow down dependencies.

4. (Multiple Select)

A) Preferring long, monolithic SQL files with minimal CTEs.
B) Encapsulating complex logic in well-named macros with descriptive comments.
C) Using clear and consistent naming conventions across models and macros.
D) Minimizing explicit model dependencies to create loosely coupled components.

5. A model passes its tests during development, but later fails when deployed on a less powerful production database. Which of the following might be the reason for this discrepancy?

A) Performance-related test thresholds are too lenient in development.
B) Source data distributions differ significantly between environments.
C) There's a bug in the version of dbt that runs in production.
D) The test was accidentally disabled in the production dbt project.

Solutions: