DA0-002 Visualization and Reporting Practice Question
Which THREE factors should be considered when choosing a chart type for a dataset?
⚠ Common exam trap
Many candidates confuse aesthetic or software-specific features (like animation or branding) with the fundamental data characteristics that dictate chart appropriateness, leading them to select options that are about polish rather than analytical correctness.
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
✓
The data types (categorical, numerical, time series)
The data type (categorical, numerical, time series) determines which chart types are semantically valid. For example, a line chart requires a continuous numerical or time-series axis, while a bar chart works with categorical data. Choosing a chart that mismatches the data type can misrepresent the underlying distribution or 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.
- ✗
The animation capabilities of the software
Why it's wrong here
Animation is not a primary consideration for chart selection.
- ✓
The data types (categorical, numerical, time series)
Why this is correct
Data type determines suitable chart types.
- ✓
The number of variables to display
Why this is correct
More variables may require advanced charts like bubble or multi-line.
- ✓
The key insight or message to convey
Why this is correct
The chart should highlight the intended message.
- ✗
The color scheme of the company logo
Why it's wrong here
Color scheme is aesthetic, not a deciding factor for chart 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.