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Title: dbt-Analytics-Engineering Free Practice Exams & Cost Effective dbt-Analytics
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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q36-Q41):NEW QUESTION # 36
Data Quality Issue
Answer: A,B,C,D
Explanation:
This requires a comprehensive approach covering logic errors, regression tests, proactive quality checks, and isolated execution.

NEW QUESTION # 37
You discover a downstream model, dim products, references an outdated raw dataset, raw_product_archive, intended for historical analysis and not active products. What's the most appropriate corrective action?
Answer: C
Explanation:
Directly addressing the root cause ensures your model uses the correct source. Schema tests are safeguards but don't resolve the underlying dependency issue. Be cautious about deleting sources unless there's a very strong reason.

NEW QUESTION # 38
You're testing a model containing financial calculations. Your stakeholders require a high degree of accuracy. Which consideration is most important when designing tests for this scenario?
Answer: A,D
Explanation:
B recognizes that financial calculations often have rounding imprecision, necessitating tolerance-based checks. C is crucial as even minor input variations can propagate into significant errors for financial models. A is generally a bad practice; D focuses on quantity, not the specific quality needed here.

NEW QUESTION # 39
You want to configure dbt to prevent tests from running if one or more of their parent models is unselected.
Which test command should you execute?
Choose 1 option.
Answer: A

NEW QUESTION # 40
You're implementing singular tests (accepted values). After providing a list of valid values, you notice some strange behavior: the test is passing even with records that contain unexpected dat a. What's the most likely issue?
Answer: B,C,D
Explanation:
Each of these directly impacts the accepted_values test's effectiveness, while D is unlikely for a singular test.

NEW QUESTION # 41
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