DA0-002 Data Concepts and Environments Practice Question
A data analyst receives a dataset with inconsistent date formats (e.g., "01/02/2023", "2023-01-02", "Jan 2, 2023"). Which data quality dimension is most directly affected?
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
✓
Consistency
Consistency refers to the uniformity of data representation. Inconsistent date formats violate consistency, not accuracy, completeness, or timeliness.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Accuracy
Why it's wrong here
Accuracy concerns correctness of values, not format uniformity.
- ✓
Consistency
Why this is correct
Inconsistent formats directly impact data consistency.
- ✗
Completeness
Why it's wrong here
Completeness is about missing data, not formatting.
- ✗
Timeliness
Why it's wrong here
Timeliness refers to data being up-to-date, not format consistency.
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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.