DA0-002 Data Analysis Practice Question
Which data quality dimension ensures that data represents the real-world scenario correctly and without errors?
⚠ Common exam trap
DA0-002 often tests the overlap between accuracy and completeness, tricking candidates into choosing completeness when the scenario describes incorrect values rather than missing values.
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
✓
Accuracy
Accuracy is the data quality dimension that measures whether data correctly reflects the real-world object or event it describes, free from errors. If a customer's address is stored incorrectly or a transaction amount is wrong, the data is inaccurate even if it is complete and consistent. Completeness, consistency, and timeliness address different aspects and do not capture correctness of representation.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
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Completeness
Why it's wrong here
Completeness measures whether all required records and attribute values are present, not whether values match reality. Accuracy is the dimension covering correctness and faithful real-world representation. Completeness is the right answer when the concern is missing rows or null fields rather than erroneous values.
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Consistency
Why it's wrong here
Consistency checks that the same data agrees across systems and formats, not that values match the real world. It is tempting because inconsistent records frequently signal quality problems, and consistency would be the right dimension if the stem asked whether data conflicts between source systems.
- ✓
Accuracy
Why this is correct
Accuracy verifies that values correctly reflect the real-world entities or events they describe, directly satisfying the stem's requirement for data representing reality without errors. Unlike completeness, which checks for missing values, or consistency, which checks formatting agreement across sources, accuracy measures correctness against an authoritative reference.
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Timeliness
Why it's wrong here
Timeliness measures whether data is current and available when needed, not whether it reflects reality accurately. It is tempting because stale data often causes business errors, and timeliness would be the correct dimension when the requirement concerns latency or freshness of delivery rather than correctness of values.
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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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