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DA0-002 Data Analysis Practice Question

A data analyst is evaluating the quality of a customer database. Which THREE of the following are dimensions of data quality?

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

Accuracy, completeness, and timeliness are standard data quality dimensions.

Answer analysis

Option-by-option breakdown

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

  • ✓

    Completeness

    Why this is correct

    Completeness measures whether required customer attributes are populated, directly assessing missing values in the database. It is a recognised data quality dimension because gaps in mandatory fields undermine segmentation, contactability and downstream analytics, satisfying the evaluation's need to quantify absent data.

  • ✗

    Correlation

    Why it's wrong here

    Correlation measures the statistical relationship between two variables, not a property of data itself. It is tempting because analysts routinely compute it during profiling, and it would be the correct measure when assessing whether two fields, such as age and spend, move together.

  • ✓

    Timeliness

    Why this is correct

    Timeliness assesses whether customer data reflects the current state when needed, addressing staleness in the database. It is a core quality dimension because outdated records misdirect campaigns and decisions, satisfying the evaluation's requirement to judge currency against usage requirements.

  • ✓

    Accuracy

    Why this is correct

    Accuracy measures whether stored customer values correctly represent real-world entities, addressing errors such as wrong addresses or misspelt names. It is a fundamental quality dimension because incorrect values corrupt analysis and communications, satisfying the evaluation's need to verify correspondence with reality.

  • ✗

    Variance

    Why it's wrong here

    Variance quantifies the spread of a distribution, describing statistical dispersion rather than the fitness of stored values. It is tempting because it appears in profiling summaries, and it would be the correct measure when assessing how widely a numeric attribute such as customer spend varies.

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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.