Question 238 of 986
DA0-002 Data Governance Practice Question
Which TWO are common pitfalls when communicating data insights?
⚠ Common exam trap
CompTIA often tests the distinction between best practices and common pitfalls, so the trap here is that candidates may confuse beneficial actions (like explaining assumptions or providing context) with pitfalls, leading them to select those as wrong answers instead of recognizing them as correct practices.
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
✓
Using misleading scales on charts
Using misleading scales on charts (e.g., truncating the y-axis or using non-zero baselines) distorts the visual representation of data, leading to incorrect interpretations. This violates the principle of data integrity in data visualization, as it can exaggerate or minimize trends, making it a common pitfall when communicating data insights.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Explaining assumptions clearly
Why it's wrong here
Clearly stating assumptions ensures transparency and is a best practice.
- ✓
Using misleading scales on charts
Why this is correct
Manipulating scales can distort the data and mislead the audience.
- ✗
Including a clear call to action
Why it's wrong here
A call to action guides the audience on next steps and is recommended.
- ✗
Providing context for the data
Why it's wrong here
Context helps the audience understand the significance of the data; it is a good practice.
- ✓
Overloading the audience with too many visuals
Why this is correct
Too many visuals can overwhelm and dilute the main message.
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Last reviewed: Jun 30, 2026
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.
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