DA0-002 Data Concepts and Environments Practice Question
A data analyst finds that the "Age" column contains values like "N/A", "unknown", and negative numbers. Which data quality dimension is primarily affected?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Validity
Validity refers to the degree to which data conforms to defined business rules or constraints. Invalid entries (non-numeric, negative) violate the expected data type and range.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Accuracy
Why it's wrong here
Incorrect. Accuracy measures correctness relative to real world, but here the data fails basic format checks.
- ✗
Consistency
Why it's wrong here
Incorrect. Consistency concerns contradictions across data, not single column format.
- ✓
Validity
Why this is correct
Correct. The values are not valid for the Age attribute.
- ✗
Completeness
Why it's wrong here
Incorrect. Completeness concerns missing data, but these values are present albeit invalid.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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