DA0-002 Visualization and Reporting Practice Question
A data visualization specialist needs to display the relationship between advertising spend and revenue for 50 product categories over 12 months. The data has many overlapping points. Which chart type best reveals the correlation and density?
⚠ Common exam trap
Watch out — candidates often confuse bubble charts with scatter plots: candidates often think adding a third variable (bubble size) automatically solves overplotting, but without transparency, bubbles still overlap and hide density; the key is alpha blending, not the third dimension.
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
✓
Scatter plot with alpha blending
A scatter plot with alpha blending is ideal for showing the relationship between two continuous variables (advertising spend and revenue) while handling overplotting. Alpha blending makes dense clusters appear darker, revealing density and correlation patterns that would be hidden with opaque points. With 50 categories and 12 months, there are 600 data points, so overlapping is inevitable; alpha transparency solves this by allowing the viewer to see where points concentrate.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Heatmap with revenue binned
Why it's wrong here
Binning revenue discards the precise spend-revenue pairing, so correlation is obscured; a heatmap shows density of two binned variables, not the relationship between them. It is tempting for highlighting concentration, and would suit showing where observations cluster across two categorical or binned axes.
- ✗
Line chart for each category
Why it's wrong here
Fifty overlapping category lines over twelve months produce an unreadable tangle, and line charts imply a continuous time sequence rather than spend-versus-revenue correlation. It is tempting for tracking each category's trend across time, which is the correct use when the x-axis is genuinely temporal.
- ✗
Bubble chart
Why it's wrong here
Bubble charts encode a third variable as size, not density; with many overlapping points the bubbles still occlude one another and correlation remains hidden. It is tempting because size can represent an extra metric, and it would be correct when comparing three continuous variables with few observations.
- ✓
Scatter plot with alpha blending
Why this is correct
Alpha blending renders each point semi-transparent, so overlapping observations in the 50-category, 12-month dataset accumulate into darker regions, exposing density that opaque markers would hide. Position on the x–y axes simultaneously reveals the correlation between advertising spend and revenue, directly satisfying both requirements in the stem.
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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.