DA0-002 Visualization and Reporting Practice Question
An analyst creates a dashboard with multiple visualizations. Which feature allows users to change the data displayed across all charts simultaneously?
⚠ Common exam trap
The trap is confusing 'linked chart' (a specific cross-highlighting interaction) with the general filter/slicer control that drives all visuals; the exam tests precise terminology.
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
✓
Filter or slicer
A filter or slicer is an interactive control that, when changed, applies the same selection criterion to every visualization on the dashboard, enabling simultaneous cross-chart updates. This is the standard mechanism in BI tools (Tableau, Power BI, Looker) for synchronized data selection.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Linked chart
Why it's wrong here
A linked chart synchronises highlighting or selection between visuals, but it does not drive the dataset each chart queries. Linking is the correct choice for coordinated drill-down or brushing, whereas changing the data displayed across all charts simultaneously requires a dashboard-level filter.
- ✗
Drill-down
Why it's wrong here
Drill-down navigates within a single visualisation's hierarchy, so it cannot filter every chart at once. It is tempting because it genuinely explores detail beneath one chart's data points, and would be correct if the requirement were to move from yearly totals to monthly breakdowns within that same chart.
- ✓
Filter or slicer
Why this is correct
A filter or slicer applies a single selection across every visual on the dashboard, so changing it updates all charts at once. This directly satisfies the stem's requirement for simultaneous, dashboard-wide data changes, unlike per-visual filters that affect only one chart.
- ✗
Data segmentation
Why it's wrong here
Data segmentation partitions records into groups for analysis; it does not propagate a selection across visualisations. Segmentation is the correct choice when comparing subsets such as regions or cohorts, whereas cross-chart filtering requires a shared filter or parameter control.
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Last reviewed September 2026 · checked against the official CompTIA exam blueprint
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