DA0-002 Data Governance Practice Question
An analyst is presenting findings to stakeholders. Which TWO techniques effectively communicate uncertainty in data? (Choose TWO.)
⚠ Common exam trap
CompTIA often tests the distinction between measures of central tendency (point estimates) and measures of variability (confidence intervals, error bars), trapping candidates who think stating exact numbers or removing outliers is a valid way to handle uncertainty.
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
✓
Include confidence intervals.
Confidence intervals provide a range of values that likely contain the true population parameter, offering a clear measure of uncertainty around a point estimate. This technique is fundamental in inferential statistics and directly communicates the precision of the data, helping stakeholders understand the reliability of the findings.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Include confidence intervals.
Why this is correct
Provides a range within which the true value likely falls.
- ✗
Use only point estimates.
Why it's wrong here
Ignores uncertainty and variability.
- ✓
Use error bars on charts.
Why this is correct
Visually indicates the range of possible values.
- ✗
Remove all outliers from the data.
Why it's wrong here
Eliminates variability and may bias results.
- ✗
State exact numbers without ranges.
Why it's wrong here
Hides uncertainty and can be misleading.
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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.