DA0-002 Visualization and Reporting Practice Question
An analyst recommends a pricing change based on data showing price elasticity. The recommendation includes expected revenue impact. What is this an example of?
⚠ Common exam trap
DA0-002 often tests the difference between presenting data and making a recommendation — candidates may pick 'executive summary' because the recommendation is communicated in that format, missing that the substance is the data-driven recommendation itself.
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
✓
Data-driven recommendation
A data-driven recommendation is a decision or course of action grounded in analysis of data — here, price elasticity analysis — and it includes a quantified expected outcome such as revenue impact. The analyst is not merely presenting data; they are translating analysis into a recommended action with a projected business result. This is the defining characteristic of a data-driven recommendation.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Data-driven recommendation
Why this is correct
Basing a pricing decision on elasticity analysis and quantifying the expected revenue impact is a data-driven recommendation: the choice is justified by evidence rather than intuition. This directly matches the scenario's constraint of recommending action supported by analytical findings.
- ✗
Uncertainty communication
Why it's wrong here
Uncertainty communication concerns conveying confidence intervals, assumptions and model limitations, not stating a projected revenue outcome. It is tempting because forecasts carry uncertainty, but it would be correct when presenting ranges or caveats, whereas this scenario describes quantifying the expected business impact of a recommendation.
- ✗
Self-service analysis
Why it's wrong here
Self-service analysis describes business users building their own reports and dashboards, not an analyst delivering a quantified recommendation with projected revenue impact. It is tempting because self-service tools let stakeholders explore elasticity data directly, which suits exploratory reporting rather than prescriptive, decision-ready analysis.
- ✗
Executive summary
Why it's wrong here
An executive summary is a condensed document format, not the analytical practise of linking a recommendation to its quantified business outcome. It is tempting because summaries often include recommendations and figures, but it would be correct when condensing findings for leadership, not when justifying a pricing decision with projected revenue.
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Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official CompTIA exam blueprint
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.