DA0-002 Data Concepts and Environments Practice Question
Exhibit
ID, Name, Salary, Department 1, Alice, 60000, Sales 2, Bob, 70000, IT 3, Charlie, , IT
Refer to the exhibit. Which data quality dimension is compromised by the missing value for Charlie's salary?
⚠ Common exam trap
CompTIA often tests the distinction between 'missing' (completeness) and 'wrong' (accuracy), leading candidates to confuse a null value with an incorrect value.
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
✓
Completeness
Completeness measures whether all required data is present. Charlie's missing salary value means the record is incomplete, directly violating this dimension. In data quality frameworks, completeness is assessed by the proportion of non-null values in a field, and a null salary here fails that check.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Uniqueness
Why it's wrong here
Incorrect. Uniqueness concerns duplicate records.
- ✓
Completeness
Why this is correct
Correct. The salary field is missing, so data is incomplete.
- ✗
Timeliness
Why it's wrong here
Incorrect. Timeliness relates to data being up-to-date.
- ✗
Accuracy
Why it's wrong here
Incorrect. Accuracy is about correctness; here data is missing, not incorrect.
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