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DA0-002 Data Analysis Practice Question

A data analyst is cleaning a dataset and finds that some records have duplicate entries based on customer ID. Which data quality dimension is most directly affected by these duplicates?

⚠ Common exam trap

DA0-002 often tests the overlap between accuracy and uniqueness, so candidates must recognize that duplicates are a uniqueness violation even when the duplicated values themselves are accurate.

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

✓

Uniqueness

Uniqueness is the data quality dimension that measures whether each real-world entity appears exactly once in a dataset. Duplicate records based on customer ID directly violate uniqueness because the same customer is represented multiple times. Timeliness, consistency, and accuracy describe other dimensions and are not the primary issue when duplicates exist.

Answer analysis

Option-by-option breakdown

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

  • ✗

    Timeliness

    Why it's wrong here

    Timeliness concerns whether data is current enough for its purpose, whereas duplicate customer IDs are repeated entities regardless of age. Timeliness is tempting because stale records often get re-ingested, but the defect is uniqueness, so a de-duplication rule on customer ID is the correct remedy.

  • ✗

    Consistency

    Why it's wrong here

    Duplicate customer IDs violate uniqueness, not consistency, which concerns whether the same value is represented identically across records and systems. Consistency is tempting because duplicates can disagree in format, yet the defect here is repeated entities, so a uniqueness check is the correct control.

  • ✗

    Accuracy

    Why it's wrong here

    Duplicates affect uniqueness, not accuracy, which measures whether values correctly describe the real-world entity. Accuracy is tempting because repeated rows may contain conflicting attribute values, but the duplication itself is an entity-integrity violation, detected by a uniqueness constraint rather than a correctness check.

  • ✓

    Uniqueness

    Why this is correct

    Duplicate records sharing the same customer ID violate the requirement that each entity appears once, which is precisely the uniqueness dimension. Completeness, accuracy, consistency and timeliness concern missing values, correctness, agreement across sources and currency respectively, so duplicates map directly to uniqueness.

About these practice questions

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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

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.