PL-300 Visualize and analyze the data Practice Question
You are designing a Power BI report that will be viewed on mobile devices. The report contains a complex scatter plot with many data points. Users complain that the visual is hard to interact with on small screens. What is the best approach to improve the mobile experience?
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
✓
Create a separate mobile layout and replace the scatter plot with a simpler visual like a line chart.
The correct option is D: create a separate mobile layout and replace the scatter plot with a simpler visual like a line chart. Power BI's mobile layout feature lets you design a phone-optimized view of the report, and swapping a dense scatter plot for a simpler visual such as a line chart reduces clutter and improves touch interaction on small screens. Options A, B, and C do not solve the core problem: bookmarks still show the complex scatter plot, a slicer does not reduce visual complexity, and enlarging the scatter plot to fill the screen makes the many data points even harder to interact with on a small display.
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 bookmarks to switch between the scatter plot and a table.
Why it's wrong here
Bookmarks only toggle between two equally touch-hostile visuals on the same canvas; they do not alter the underlying mobile rendering or enlarge touch targets. On a phone, tapping a bookmark still requires precision, and the scatter plot's overlapping points remain nearly impossible to select reliably, so this adds navigation friction without fixing the core interaction problem.
- ✗
Keep the scatter plot but add a slicer to filter data.
Why it's wrong here
Adding a slicer does not change how the scatter plot reacts to touch; dense scatter points still demand pixel-level accuracy on a small screen, and the slicer itself may cover limited viewport space or require additional scrolling. Filtering can reduce the number of points shown, but it does not restructure the visual into a form better suited for mobile consumption, so the report remains awkward to use on a phone.
- ✗
Increase the size of the scatter plot to fill the screen.
Why it's wrong here
Enlarging the scatter plot to full screen increases the overall visual area, but it does not proportionally increase the touch target of each individual data point because Power BI scatter plot points are rendered at a fixed pixel size relative to the plot area, and overlapping points still cannot be separated by touch. It also forces the user to lose sight of other report context and may require horizontal scrolling or panning, which is an anti-pattern in mobile reporting.
- ✓
Create a separate mobile layout and replace the scatter plot with a simpler visual like a line chart.
Why this is correct
The dedicated mobile layout lets you redesign the page for a portrait phone screen, where you can move, resize, and hide visuals to match touch ergonomics. Replacing the scatter plot with a line chart — which has large, easily tappable categorical or time-axis points and a more natural sweep for small screens — converts a dense, drag-to-select interaction into a simple tap-to-view-measure interaction, aligning with the intended mobile consumption of the report.
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