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?
⚠ Common exam trap
DA0-002 often tests the overlap between validity and accuracy, causing candidates to choose accuracy when the issue is really format/domain conformance rather than truthfulness.
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 whether data values conform to the defined format, type, and allowable range for a field. 'N/A', 'unknown', and negative numbers in an Age column violate the expected numeric, non-negative domain, so validity is the primary dimension affected.
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
Accuracy concerns whether values correctly represent reality; placeholders and impossible negatives instead breach validity, since they fall outside the permitted domain for age. It is tempting because wrong values feel inaccurate, but accuracy presupposes a valid value that misstates the truth, whereas these entries are not valid ages at all.
- ✗
Consistency
Why it's wrong here
Consistency concerns conflicting representations of the same fact across records or systems, not invalid values within one field. It is tempting because mixed formats like "N/A" and "unknown" look inconsistent, and consistency would be correct if two systems disagreed on the same person's age.
- ✓
Validity
Why this is correct
Validity concerns whether values conform to the defined format, type, and permitted range for a field. Text placeholders and negative ages violate Age's expected numeric, non-negative domain, so the dimension breached is validity rather than completeness or accuracy.
- ✗
Completeness
Why it's wrong here
Completeness measures absent values, yet negative ages and "unknown" placeholders are present but invalid, which is validity. It is tempting because "N/A" and "unknown" resemble missing entries, and completeness would be the correct dimension if the Age cells were genuinely empty.
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Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official CompTIA exam blueprint
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