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
Option C is correct because a highly knowledgeable audience of data scientists can evaluate and trust the analysis when the presenter includes the technical details and methodology, such as the statistical tests, model choices, and parameter settings used. Option D is correct because presenting the assumptions and limitations of the analysis is essential for a technical audience to properly interpret the results, assess validity, and understand the boundaries of the conclusions. Options A, B, and E are not appropriate: hiding uncertainty undermines scientific integrity, basic visualizations like pie charts are inadequate for complex statistical findings, and oversimplifying would frustrate or mislead an expert audience rather than clarify the analysis.
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
Omitting uncertainty misrepresents statistical results; a knowledgeable audience expects confidence intervals and significance levels to judge reliability. It is tempting because confident delivery appears authoritative, and would be correct for non-technical executives needing a decisive headline rather than statistical rigour.
- ✗
Use basic visualizations like pie charts
Why it's wrong here
Pie charts cannot represent distributions, correlations or multivariate relationships central to complex statistical analysis. They are tempting because they are familiar and easy to read, and would be correct for showing simple part-to-whole proportions to a general audience.
- ✓
Include technical details and methodology
Why this is correct
A specialist audience of data scientists needs the statistical method, model choice and parameter settings to judge validity themselves. Omitting methodology would leave them unable to assess the analysis, so technical depth satisfies the stem's knowledgeable-audience constraint.
- ✓
Present assumptions and limitations of the analysis
Why this is correct
Data scientists will probe whether conclusions hold beyond the sampled data, so stating assumptions and limitations pre-empts that scrutiny. It directly addresses the knowledgeable-audience constraint by exposing the boundaries within which the statistical results remain valid.
- ✗
Simplify the findings to avoid confusion
Why it's wrong here
Simplifying findings discards the statistical detail this expert audience needs to evaluate methodology and results. It is tempting because simplification aids comprehension generally, and would be correct when presenting to business stakeholders lacking statistical background who require only headline conclusions.
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Written by Johnson Ajibi, MSc IT Security
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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.