PL-300 Visualize and analyze the data Practice Question
You need to create a Power BI report that allows users to analyze sales data by multiple dimensions including date, product, and region. Which THREE features should you use to provide a good user 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
✓
Add slicers for date, product, and region.
Option A is correct because slicers for date, product, and region let users interactively filter the report across all three required dimensions, providing direct control over the data shown. Option B is correct because bookmarks capture the current state of a report page—including filters, slicers, and visibility—allowing users to switch between predefined views without rebuilding selections. Option C is correct because drill-through pages let users right-click a data point and navigate to a detail page filtered to that specific context, enabling deeper analysis of sales by the selected dimension values. Option D is not appropriate because disabling cross-filtering removes the interactive highlighting and filtering between visuals that improves exploratory analysis. Option E is not appropriate because relying only on default tooltips limits the contextual detail users can see on hover, reducing the overall user experience.
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 slicers for date, product, and region.
Why this is correct
Slicers place interactive filter controls directly on the canvas for date, product, and region, letting users slice the same visuals across all three dimensions simultaneously. This satisfies the requirement to analyse sales data by multiple dimensions without duplicating pages or reports.
- ✓
Create bookmarks to switch between different report views.
Why this is correct
Bookmarks capture the current filter, slicer, and visibility state of a report page, letting users toggle between preconfigured views without rebuilding selections. This directly supports multi-dimensional analysis by date, product, and region, since each saved view can isolate a specific combination of those dimensions.
- ✓
Set up drill-through pages for detailed analysis.
Why this is correct
Drill-through pages let users right-click a data point and navigate to a filtered detail page carrying the selected context, such as a product or region. This satisfies the stem's requirement for analysing sales across multiple dimensions without cluttering the main report canvas.
- ✗
Disable cross-filtering between visuals.
Why it's wrong here
Disabling cross-filtering removes the interactive highlighting that lets users select a date or region and see related product figures update across visuals. Cross-filtering is the mechanism delivering multi-dimensional exploration. It would be disabled only when visuals share unrelated datasets and filtering would mislead.
- ✗
Use only default tooltips.
Why it's wrong here
Default tooltips show only the values already on the visual, so users cannot drill into product, region or date detail without leaving the page. Report-page tooltips are the intended feature for cross-dimensional context. Default tooltips suffice only for simple single-metric cards where no additional breakdown is required.
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