Quick Answer
Accuracy is the correct choice because this dimension specifically measures whether data values correctly reflect real-world facts or defined standards, and 20% of completed fields containing out-of-range values means the data is present but factually wrong. While completeness—the 95% fill rate—is high, the core issue is that the values themselves are invalid, directly degrading accuracy rather than timeliness or consistency. On the CompTIA Data+ DA0-001 exam, this scenario tests your ability to distinguish accuracy from completeness: a common trap is to focus on the high fill percentage and mistakenly choose completeness, but remember that accuracy is about correctness, not presence. The exam often presents a high completeness rate alongside a hidden accuracy problem, so always check whether the values are valid, not just whether they exist. A useful memory tip is to think “accuracy = alignment with reality,” and if a value falls outside a valid range, it fails that alignment.
This DA0-001 practice question tests your understanding of comparing and contrasting data concepts. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A data quality report shows that 95% of records have all required fields completed, but 20% of the completed fields contain values that are outside valid ranges. Which data quality dimension is most affected?
Consistency
Why wrong: Consistency refers to data being uniform across systems; not described here.
Accuracy
Accuracy is compromised because values outside valid ranges are incorrect.
Timeliness
Why wrong: Timeliness is about data being current; not relevant.
Completeness
Why wrong: Completeness is high (95% fields completed), so this is not the issue.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Accuracy
Accuracy measures how well data reflects real-world values or a defined standard. Here, 20% of completed fields contain values outside valid ranges, meaning the data is present but incorrect, directly degrading accuracy. Completeness (95% filled) is high, but the core issue is that the values themselves are wrong, not missing or late.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Consistency
Why it's wrong here
Consistency refers to data being uniform across systems; not described here.
Accuracy
Why this is correct
Accuracy is compromised because values outside valid ranges are incorrect.
Related concept
Read the scenario before looking for a memorised answer.
Timeliness
Why it's wrong here
Timeliness is about data being current; not relevant.
Completeness
Why it's wrong here
Completeness is high (95% fields completed), so this is not the issue.
Common exam traps
The trap here is that candidates see '95% of records have all required fields completed' and immediately think 'Completeness is high, so that dimension is fine,' but then incorrectly assume the 20% out-of-range values also affect Completeness, when in fact Accuracy is the dimension that suffers when present data is invalid.
Detailed technical explanation
In data quality frameworks, accuracy is often validated against reference data or domain constraints (e.g., a 'State' field must be a valid USPS code). A 20% out-of-range rate could indicate a missing foreign key constraint in a database schema or a bug in an ETL transformation that maps source codes to target values. Real-world impact: an analytics dashboard showing average sales by region would be misleading if 20% of region codes are invalid, even though every record is complete.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A practitioner preparing for the DA0-001 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Comparing and Contrasting Data Concepts — This question tests Comparing and Contrasting Data Concepts — Read the scenario before looking for a memorised answer..
The correct answer is: Accuracy — Accuracy measures how well data reflects real-world values or a defined standard. Here, 20% of completed fields contain values outside valid ranges, meaning the data is present but incorrect, directly degrading accuracy. Completeness (95% filled) is high, but the core issue is that the values themselves are wrong, not missing or late.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
This DA0-001 practice question is part of Courseiva's free CompTIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DA0-001 exam.
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