DA0-002 Data Governance Practice Question
A data analyst is presenting results from a customer segmentation analysis to a non-technical audience. The segmentation was performed using k-means clustering, and the analyst wants to explain the characteristics of each cluster. Which visualization is most appropriate for this audience?
⚠ Common exam trap
Watch out — candidates often choose a technically sophisticated visualization like a parallel coordinates plot or PCA scatter plot, mistakenly believing it demonstrates deeper analytical skill, when the question specifically tests the ability to tailor visualizations to a non-technical audience's comprehension level.
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
✓
A bar chart comparing the average values of key metrics for each cluster.
A bar chart comparing average values of key metrics per cluster is the most appropriate choice because it directly translates the numerical output of k-means clustering into a simple, intuitive visual that non-technical audiences can easily interpret. Unlike complex multivariate plots, a bar chart focuses on the distinct characteristics of each cluster without requiring knowledge of clustering algorithms or dimensionality reduction. This aligns with the DA0-001 objective of communicating data insights effectively to stakeholders.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
A parallel coordinates plot displaying all variables used in clustering.
Why it's wrong here
Parallel coordinates are complex and difficult for non-technical viewers to interpret.
- ✗
A heatmap of the distance matrix between cluster centroids.
Why it's wrong here
Heatmaps of distances are abstract and not suitable for explaining cluster profiles.
- ✓
A bar chart comparing the average values of key metrics for each cluster.
Why this is correct
Bar charts are simple, familiar, and effectively compare averages across categories.
- ✗
A scatter plot with two principal components showing cluster boundaries.
Why it's wrong here
PCA and scatter plots are technical and may confuse non-technical audiences.
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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.