DA0-002 Data Concepts and Environments Practice Question
Exhibit
Refer to the exhibit. Exhibit: Table: Customer_Master Column: Email_Address Completeness: 92% Validity: 85% Uniqueness: 97% Consistency: 100%
Refer to the exhibit. Which conclusion can be drawn from this data quality report?
⚠ Common exam trap
CompTIA often tests the distinction between uniqueness and validity, trapping candidates who assume high uniqueness implies high quality, when in fact validity is a separate dimension that can be poor even with perfect uniqueness.
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
✓
The Email_Address column has a high uniqueness rate but needs improvement in validity.
The data quality report shows that the Email_Address column has a high uniqueness rate (e.g., 100% unique values), indicating no duplicate entries, but a low validity score (e.g., many entries fail format checks like missing '@' or domain). This means the column is structurally unique but contains invalid data, so it needs improvement in validity.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
The Email_Address column has a high uniqueness rate but needs improvement in validity.
Why this is correct
Uniqueness is 97%, but validity is only 85%, meaning some emails may be in invalid format.
- ✗
The column is fully consistent but has low completeness.
Why it's wrong here
Completeness is 92%, which is not low; consistency is 100%.
- ✗
The column has low validity and low uniqueness.
Why it's wrong here
Uniqueness is 97%, which is high, not low.
- ✗
The column requires immediate action to improve completeness.
Why it's wrong here
Completeness at 92% is generally acceptable and may not require immediate action.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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