PL-300 Visualize and analyze the data Practice Question
You are designing a Power BI report page. Which two actions can you take to improve the accessibility of the report?
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 data labels to visuals
Option C is correct because adding data labels to visuals makes the underlying values directly readable on the canvas, so users who rely on screen readers or who cannot hover over data points can still access the exact numbers without needing tooltips or mouse interaction. Option D is correct because using a high-contrast theme improves readability for users with low vision or color-vision deficiencies by ensuring foreground text and visual elements stand out clearly against the background, meeting accessibility contrast guidelines. Option A is not correct because a dark background with light text is not inherently more accessible and can actually reduce readability for some users if contrast is insufficient or if it causes glare. Option B is not correct because images are not inherently inaccessible; they can be made accessible with alt text and are often useful in visuals, so avoiding them entirely is not a valid accessibility improvement. Option E is not correct because removing all tooltips reduces the information available to users rather than improving accessibility; tooltips should be retained and made keyboard-accessible instead.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use a dark background with light text
Why it's wrong here
Dark backgrounds with light text can introduce halation and glare for users with astigmatism, and unless colors meet the WCAG AA 4.5:1 contrast ratio, readability suffers. In Power BI, the 'Dark' theme is not inherently accessible; you must inspect each visual with the built-in Accessibility Checker to verify contrast. A dark theme is an aesthetic choice, not a substitute for a tested, accessible color palette.
- ✗
Avoid using images in visuals
Why it's wrong here
Images are not inherently inaccessible; they only become a barrier when meaningful information is not provided as alternative text. In Power BI, you can set alt text on image visuals, and you should use the Accessibility Checker to confirm none are missing. Avoiding images entirely would strip out useful visual context and is not a recognized design pattern for accessibility.
- ✓
Add data labels to visuals
Why this is correct
Data labels display the exact value on each data point, so users with cognitive or visual impairments do not have to estimate from gridlines, axis scales, or color legends. They ensure the data is readable regardless of how a user perceives color, and in Power BI, labels can be formatted for size, color, and font style to meet contrast needs. The Accessibility Checker verifies that labels are present and not clipped.
- ✓
Use a high-contrast theme
Why this is correct
High-contrast themes strengthen the luminance difference between foreground and background colors, satisfying WCAG Success Criterion 1.4.3 for level AA. Power BI provides a high-contrast theme option that, when enabled, automatically substitutes colors across the report and also respects Windows High Contrast Mode. This directly helps users with low vision or color-vision deficiencies distinguish chart elements, text, and boundaries.
- ✗
Remove all tooltips to reduce clutter
Why it's wrong here
Tooltips deliver supplementary detail on demand and, when set up correctly, can be activated by keyboard focus and read aloud by screen readers. Eliminating them to 'reduce clutter' removes a key source of context for users who need more explanation than a visual can show in a single view. Instead you should configure tooltips with concise descriptive text and test them with a keyboard.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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