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デモをダウンロードする

dbt Labs dbt Analytics Engineering Certification 認定 dbt-Analytics-Engineering 試験問題:

1. Your team establishes a policy for handling different levels of test failures (e.g., warnings vs. critical errors). How could you implement this policy effectively within your dbt workflows?

A) Use custom severity levels in your test definitions and a post-hook to manage actions accordingly.
B) Rely on your data observability platform to differentiate and alert based on dbt test results.
C) Use dbt tags for classifying tests, then selectively execute them.
D) Run dbt test multiple times with varying filters based on desired severity levels.

2. Performance Bottleneck

A) Introduce CTEs to pre-calculate aggregated data or common subexpressions, especially if reused repeatedly.
B) Add -full-refresh to dbt run on the model to ensure downstream models don't cause errors.
C) Run EXPLAIN or equivalent on the compiled query to pinpoint the most expensive operations.
D) Implement database-level indexes on columns involved in the joins, if appropriate.

3. You've added detailed descriptions to your sources.yml file. Which of the following scenarios would still necessitate adding descriptions directly within your model files?

A) If different models utilize the same source table for different purposes.
B) You always need both source and model-level descriptions for complete documentation.
C) If the source table undergoes a schema change, and you want to document these changes historically within the model.
D) If you want to provide additional context or logic specific to how a source is used within that model.

4. (Multiple Select)

A) Designing tests, where feasible, to examine subsets of data rather than full tables.
B) Configuring tests to run only on models that have changed or have upstream changes.
C) Scheduling less critical tests to run during off-peak hours.
D) Running dbt tests in parallel with dbt model builds whenever possible-

5. External Dependency

A) All of the above.
B) Work with stakeholders to understand if the external change is intentional and adjust the business logic if needed.
C) Implement schema tests for the affected models to catch similar breakages immediately in the future.
D) Introduce a temporary staging model to transform the data into a compatible structure for your existing models.

質問と回答：