DA0-002 Visualization and Reporting Practice Question
A data analyst is preparing a monthly performance report for a hospital network. The report will be distributed as a static PDF and must let department heads compare readmission rates across eight hospitals for the current month. The analyst wants the visual to remain accurate if the PDF is printed in grayscale. Which TWO design choices should the analyst make? (Choose two.)
⚠ Common exam trap
The trap here is assuming that a colorful legend-driven palette is sufficient for accessibility when the output may be printed without color.
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
✓
Add direct data labels showing the readmission rate at the end of each hospital bar
A single-hue sequential scale preserves lightness contrast in grayscale, and direct data labels make the exact readmission rate readable regardless of color. Together they provide redundant encoding, so the comparison remains accurate on screen and in black-and-white print. Saturated multi-hue palettes, diverging red-green scales, and axis-free alphabetical layouts all undermine either grayscale legibility or the ability to compare values.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Add direct data labels showing the readmission rate at the end of each hospital bar
Why this is correct
Direct data labels put the exact value next to each bar, so the comparison no longer depends on color perception at all. Even in grayscale, viewers can read and compare the numbers precisely. This redundancy between length and text makes the chart robust for a static PDF and supports accurate interpretation by department heads.
- ✗
Use a red-to-green diverging scale centered on the network average readmission rate
Why it's wrong here
A red-to-green diverging scale is problematic in grayscale because red and green often map to similar gray tones, erasing the distinction between above- and below-average hospitals. It also introduces a value judgment through color that may not be appropriate for clinical performance. The scale therefore fails the grayscale accuracy requirement.
- ✗
Sort the hospitals alphabetically and omit any value axis to reduce clutter
Why it's wrong here
Alphabetical sorting hides the ranking of readmission rates, and removing the value axis eliminates the scale needed to judge magnitude. Without an axis or labels, viewers cannot estimate differences reliably, and in grayscale the bars lose their quantitative reference. This reduces clarity rather than improving grayscale accuracy or comparison.
- ✗
Encode each hospital with a distinct saturated hue and rely on the legend
Why it's wrong here
Distinct saturated hues can appear nearly identical once converted to grayscale, so hospitals with similar luminance become indistinguishable in print. Relying on a legend also forces viewers to look back and forth, adding cognitive effort. This approach is a common accessibility failure and does not meet the requirement that the visual stay accurate in grayscale.
- ✓
Use a single-hue sequential color scale with varying lightness for the hospital bars
Why this is correct
A single-hue sequential scale varies lightness, which survives grayscale printing because lightness differences remain visible as shades of gray. This keeps the relative magnitude of readmission rates distinguishable when color is removed, satisfying the print requirement while still supporting on-screen comparison across the eight hospitals.
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JA
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.