PL-300 Visualize and analyze the data Practice Question
Which TWO Power BI visuals can be used to display hierarchical data? (Select two.)
⚠ Common exam trap
Many exam-takers confuse the Matrix with a simple table or think the Decomposition tree is only for AI insights, missing that both are valid for hierarchical data display.
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
✓
Decomposition tree
The Decomposition tree (C) is correct because it is specifically designed to explore hierarchical data by letting users drill down through dimensions in any order, expanding nodes to reveal contributing sub-levels. The Matrix (D) is correct because it natively supports hierarchical row and column groupings, enabling expand/collapse drill-down through levels such as Year > Quarter > Month. The Scatter plot (A) is incorrect because it plots numeric values on X and Y axes to show correlations, with no hierarchical structure. The Card (B) is incorrect because it only displays a single aggregate value with no drill-down capability. The Pie chart (E) is incorrect because it shows proportional parts of a whole in a flat, single-level format without hierarchy.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Scatter plot
Why it's wrong here
A scatter plot uses Cartesian coordinates to show the relationship between two numeric measures, optionally encoded with a third measure via size or color. It has no concept of parent-child drill-down, so it cannot navigate from a top-level grouping like Region down to Country. Even if you add a category to the Legend, that only splits the point cloud, it does not provide expand/collapse hierarchy navigation.
- ✗
Card
Why it's wrong here
A card visual displays a single aggregated scalar value, such as total revenue or average sale, with no dimensional structure. Because it renders only one number, it cannot represent multiple levels of a hierarchy or allow a user to expand from a parent level to a child level. It is meant for a high-level KPI, not for exploring nested data relationships.
- ✓
Decomposition tree
Why this is correct
The decomposition tree visual is specifically engineered for root-to-leaf breakdown of a measure across dimensions, displaying nodes that users can expand or collapse along any selected dimension. It automatically aggregates child values into the parent node, making it one of the best options for ad hoc hierarchical drill-down analysis. This is why it is a correct answer for displaying hierarchy.
- ✓
Matrix
Why this is correct
A matrix visual presents data in a grid with fields placed on Rows and Columns that define a multi-level hierarchy, showing expand/collapse buttons (+/−) for each level. Users can drill down from an aggregate like Year to Quarter to Month within the same visual, and the matrix supports both row and column hierarchies. This makes it technically correct for displaying hierarchical structures, though it is not as interactive as a decomposition tree.
- ✗
Pie chart
Why it's wrong here
A pie chart divides a circle into slices that represent proportions of a whole across a single category field. It can only show one level of breakdown, so it has no expand/collapse capability to reveal subordinate levels of a hierarchy. Slices are mutually exclusive, not a parent-child tree, making it unsuitable for hierarchical navigation.
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