DA0-002 Data Governance Practice Question
A data analyst creates a dashboard for operational metrics. The operations team reports that the dashboard is confusing because it shows too many metrics on one screen. Which design principle should the analyst apply?
⚠ Common exam trap
Candidates often confuse 'reducing clutter' (white space) with 'reducing information overload' (progressive disclosure), or they mistakenly believe that adding more filters will simplify the initial view, when in fact filters only change what is shown without addressing the core issue of too many metrics displayed at once.
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
✓
Apply progressive disclosure
Progressive disclosure is a design principle that presents only the most critical information initially, with the option to reveal additional details as needed. This directly addresses the operations team's complaint of too many metrics on one screen by reducing cognitive load and allowing users to drill down into specific metrics when required. In dashboard design, this is often implemented through expandable sections, hover-over tooltips, or click-through layers.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Apply progressive disclosure
Why this is correct
Progressive disclosure shows a summary first and allows drilling into details.
- ✗
Increase white space
Why it's wrong here
While white space improves readability, it does not reduce the number of metrics.
- ✗
Use a single chart type
Why it's wrong here
Different metrics may require different chart types for clarity.
- ✗
Add more filters
Why it's wrong here
Adding more filters would not reduce the number of metrics displayed; it would only add interactive controls that allow users to narrow the data within each existing metric, thereby increasing visual clutter rather than simplifying the screen. This option is tempting because filters are a standard tool for managing data density in dashboards, and they would be the correct choice if the complaint were about irrelevant data appearing within a fixed set of metrics, not about the sheer count of metrics themselves.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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