DA0-002 Data Governance Practice Question
A data analyst is presenting a complex statistical analysis to a group of data scientists. The audience is highly knowledgeable. Which TWO approaches are most appropriate? (Choose two.)
⚠ Common exam trap
CompTIA often tests the misconception that simplifying findings is always best for any audience, but the trap here is that highly knowledgeable audiences require technical precision and transparency, not oversimplification.
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 technical details and methodology
Data scientists expect rigorous technical depth; including methodology and technical details aligns with their expertise and allows them to evaluate the analysis's validity. In a highly knowledgeable audience, omitting such details would undermine credibility and hinder peer review.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Avoid mentioning uncertainty to maintain confidence
Why it's wrong here
Ignoring uncertainty undermines trust and accuracy.
- ✗
Use basic visualizations like pie charts
Why it's wrong here
Basic charts may not convey complex analysis effectively.
- ✓
Include technical details and methodology
Why this is correct
Technical details are expected and valued.
- ✓
Present assumptions and limitations of the analysis
Why this is correct
Transparency about limitations is critical for scientific credibility.
- ✗
Simplify the findings to avoid confusion
Why it's wrong here
Data scientists are comfortable with complexity.
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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.