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DA0-002 Data Governance Practice Question

An analyst is presenting findings to a non-technical audience. The data shows a 20% increase in customer churn after a price change. Which presentation approach is BEST?

⚠ Common exam trap

The trap here is that candidates often overcomplicate the presentation by choosing technical options (like p-values or models) to demonstrate rigor, forgetting that the exam prioritizes audience-appropriate communication over statistical depth.

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

✓

Use a simple bar chart comparing churn before and after

A simple bar chart visually and intuitively communicates the 20% increase in churn to a non-technical audience without requiring statistical literacy. This approach aligns with best practices for presenting data insights to stakeholders who need clear, actionable takeaways rather than technical details.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✗

    Explain the p-value

    Why it's wrong here

    A p-value quantifies statistical significance, not business impact, so a non-technical audience gains nothing about the 20% churn rise. It belongs in a technical review defending that the change is not random noise; this scenario needs the churn trend and its commercial consequence explained plainly.

  • ✗

    Provide the raw data table

    Why it's wrong here

    A raw table forces the non-technical audience to interpret figures themselves, obscuring the 20% churn shift rather than highlighting it. Tables suit analyst-to-analyst validation or appendix reference, where exact values matter more than narrative; here a chart or plain-language summary communicates the trend directly.

  • ✓

    Use a simple bar chart comparing churn before and after

    Why this is correct

    A simple bar chart comparing churn before and after the price change translates the 20% increase into an immediate visual comparison, avoiding statistical jargon. This satisfies the non-technical audience constraint by making the magnitude and direction of change obvious at a glance.

  • ✗

    Show a complex statistical model

    Why it's wrong here

    A complex statistical model obscures the churn finding behind unfamiliar terminology and assumptions, undermining comprehension for non-technical stakeholders. Such models suit technical or analytical audiences validating methodology. A clear chart with plain-language interpretation communicates the 20% increase directly.

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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.