DS0-001 Data Querying And Analysis Practice Question
In the context of data quality, what does 'Completeness' refer to?
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
✓
The absence of missing values
Completeness measures whether all required data is present in the dataset without missing values.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The consistency of data across sources
Why it's wrong here
This refers to Consistency.
- ✓
The absence of missing values
Why this is correct
Completeness confirms all necessary fields are populated.
- ✗
The timeliness of the data
Why it's wrong here
This refers to Timeliness.
- ✗
The accuracy of values
Why it's wrong here
This refers to Validity or Accuracy.
About these practice questions
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official CompTIA exam blueprint
This DS0-001 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 DS0-001 exam.