DA0-002 Data Acquisition and Preparation Practice Question
A data analyst is performing data profiling on a customer table. Which TWO of the following are key metrics to assess data quality? (Select TWO.)
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
✓
Minimum and maximum values
Null counts indicate missing values, and min/max values can reveal outliers or unexpected ranges. Row count alone doesn't assess quality; cardinality and data type verification are also important but the question asks for key metrics among the options.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Row count
Why it's wrong here
Row count is a basic metric but not specifically for quality assessment.
- ✓
Minimum and maximum values
Why this is correct
Min and max help identify out-of-range values or anomalies.
- ✗
Cardinality
Why it's wrong here
Cardinality measures distinct values, which is more about data distribution than quality.
- ✗
Data type verification
Why it's wrong here
Data type verification is part of profiling but the question asks for metrics; this is an action, not a metric.
- ✓
Null count
Why this is correct
Null count helps identify missing data, a key 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.