DA0-002 Visualization and Reporting Practice Question
A data analyst is creating a dashboard for a sales team. Which TWO actions adhere to dashboard design best practices?
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
✓
Using consistent color coding across charts
Option B is correct because consistent color coding across charts lets viewers instantly associate a color with the same category or metric everywhere on the dashboard, reducing cognitive load and preventing misinterpretation. Option D is correct because placing the most important metric at the top-left or most prominent position follows the natural reading pattern (F-pattern/Z-pattern) and ensures the key insight is seen first, which is a core dashboard design best practice. Option A is wrong because 3D effects distort data perception and add visual clutter rather than improving professionalism. Option C is wrong because detailed axis labels and titles on every chart create redundancy and clutter; concise, clear labels are preferred, with detail available via tooltips or drill-downs. Option E is wrong because using many bright colors overwhelms viewers and destroys the meaningful, consistent color encoding that dashboards require.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Including 3D effects to make charts look more professional
Why it's wrong here
3D effects distort the plotted geometry, so bar heights and pie angles no longer map proportionally to values, and occlusion hides data points behind foreground shapes. They are tempting because depth can visually separate overlapping series in a 3D scatter plot, where spatial position rather than length encodes each variable.
- ✓
Using consistent color coding across charts
Why this is correct
Consistent colour coding lets viewers map a single hue to one meaning across every chart, so the sales team reads categories without rechecking legends. This satisfies the stem's design best-practice constraint by reducing cognitive load and preventing misinterpretation, which matters when non-technical users scan the dashboard quickly.
- ✗
Adding detailed axis labels and titles to every chart
Why it's wrong here
Detailed axis labels and titles aid comprehension, but the stem asks for best practise across the whole dashboard, where clutter and redundant labelling compete with data-ink ratio. This action suits a standalone chart for a technical audience needing precise units and context; on a multi-chart sales dashboard, shared filters and concise titles already convey meaning.
- ✓
Placing the most important metric at the top-left or most prominent position
Why this is correct
Dashboard best practice places the primary KPI where the eye lands first, so the sales team reads the headline figure without scanning. Top-left prominence satisfies the stem's requirement for design best practice by matching visual hierarchy to decision priority.
- ✗
Using as many bright colors as possible to make the dashboard attractive
Why it's wrong here
Bright colours compete for attention and obscure data relationships, so they fail the requirement to make trends readable at a glance. Colour should encode meaning, not decoration. This approach suits marketing collateral or presentation slides where visual impact matters, but dashboards prioritise rapid, accurate interpretation of sales metrics.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DA0-002 practice question is part of Courseiva's free CompTIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DA0-002 exam.