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Data Concepts and EnvironmentshardMultiple SelectObjective-mapped

DA0-002 Data Concepts and Environments Practice Question

Which THREE of the following are valid data quality dimensions? (Choose THREE.)

⚠ Common exam trap

CompTIA often tests the distinction between data quality dimensions and data management techniques, so candidates may mistakenly select encryption or redundancy because they sound like important data concepts, but they are not part of the standard quality dimensions.

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 is a core data quality dimension that measures whether all required data is present. In the context of the DA0-001 exam, completeness ensures that no fields or records are missing, which is fundamental for reliable analysis and reporting.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Encryption

    Why it's wrong here

    Encryption is a security measure.

  • Redundancy

    Why it's wrong here

    Redundancy is about storage efficiency, not quality.

  • Completeness

    Why this is correct

    Completeness is a data quality dimension.

  • Timeliness

    Why this is correct

    Timeliness is a data quality dimension.

  • Accuracy

    Why this is correct

    Accuracy is a data quality dimension.

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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.