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Data Concepts and EnvironmentsmediumMultiple ChoiceObjective-mapped

DA0-002 Data Concepts and Environments Practice Question

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?

⚠ Common exam trap

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.

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 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.

Answer analysis

Option-by-option breakdown

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.

  • 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.

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This DA0-002 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 DA0-002 exam.