DA0-002 Data Governance Practice Question
A data analyst is designing a dashboard for a sales team. Which TWO of the following are best practices for dashboard design?
⚠ Common exam trap
A common mix-up: candidates confuse 'impressive visuals' with effective communication, or assume that more data equals better insights, when in fact simplicity and consistency are the hallmarks of professional dashboard design.
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
✓
Use consistent color coding for similar metrics.
Option C is correct because consistent color coding for similar metrics reduces cognitive load and lets viewers instantly associate a color with a metric's meaning across the dashboard, improving readability and faster interpretation. Option D is correct because placing the most important information at the top or left follows the natural F-pattern/Z-pattern reading flow in left-to-right cultures, ensuring key KPIs are seen first. Option A is wrong because complex visualizations prioritize aesthetics over clarity and can confuse users rather than inform decisions. Option B is wrong because cramming too many KPIs onto one screen creates clutter and dilutes focus from the metrics that matter most. Option E is wrong because using a single chart type for all visuals ignores data-appropriate visualization choices, such as bars for comparison and lines for trends.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use complex visualizations to impress users.
Why it's wrong here
Complex visuals increase cognitive load and obscure the sales trend the team needs, so the dashboard communicates less, not more. Complexity is tempting when the goal is stakeholder impact, and would fit an exploratory analytics tool for expert analysts rather than a routine sales dashboard.
- ✗
Include as many KPIs as possible on one screen.
Why it's wrong here
Cramming every KPI onto one screen dilutes focus and forces scrolling or unreadable tiles, hiding the metrics that drive sales decisions. It is tempting because completeness feels thorough, and would suit a data catalogue or KPI inventory rather than an at-a-glance operational dashboard.
- ✓
Use consistent color coding for similar metrics.
Why this is correct
Assigning the same colour to equivalent metrics lets the sales team compare values across charts without relearning the legend each time. Consistent colour coding reduces cognitive load and misinterpretation, a core dashboard design principle for recurring operational reporting.
- ✓
Place the most important information at the top or left.
Why this is correct
Placing key metrics top-left matches natural F-pattern reading, so the sales team sees headline figures first. This satisfies the stem's dashboard design constraint by prioritising information hierarchy, ensuring critical sales numbers are not buried below secondary charts.
- ✗
Use a single chart type for all visuals.
Why it's wrong here
Forcing one chart type onto every metric misrepresents data whose shape demands a different encoding, such as trends versus proportions. Consistency is tempting for visual coherence, and would suit a small dashboard where all measures share the same scale and comparison type.
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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.