If a dbt model has a test that fails due to null values in a critical column, what is the most likely impact on data trust?

medium📝 Predict Output Q5 of 15

dbt - Governance and Collaboration

AData trust increases because nulls are expected

BData trust increases because nulls improve performance

CNo impact because tests do not affect trust

DData trust decreases because data quality is compromised

Step-by-Step Solution

Solution:

Step 1: Recognize test failure meaning
Failing tests indicate data quality issues like nulls where not allowed.
Step 2: Connect quality issues to trust
Poor quality reduces confidence in data accuracy and reliability.
Final Answer:
Data trust decreases because data quality is compromised -> Option D
Quick Check:
Test failure = Lower data trust [OK]

Quick Trick: Failed tests signal lower data trust [OK]

Common Mistakes:

MISTAKES

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