DA0-002 Visualization and Reporting Practice Question
A junior analyst is asked to show how total monthly support ticket volume changed over the past 24 months so leadership can spot seasonal peaks. Which visualization is most appropriate?
⚠ Common exam trap
The trap here is reaching for a chart that shows composition or correlation when the question is fundamentally about change over an ordered time axis.
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
✓
A line chart with months on the horizontal axis and ticket volume on the vertical axis.
Monthly ticket volume across 24 periods is a time series, and a line chart is the canonical encoding for ordered continuous change. Connecting the points lets readers perceive slope, peaks, and repeating seasonal cycles at a glance. The horizontal axis preserves chronological order, which is what distinguishes a trend display from a categorical comparison.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
A stacked bar chart of ticket categories per month.
Why it's wrong here
A stacked bar chart splits each month into category segments, which answers a composition question rather than a trend question. Leadership asked how total volume changed over time, and stacking forces readers to mentally sum segments before they can judge the total. The added categorical detail also introduces visual noise that obscures the seasonal peaks the request is about.
- ✓
A line chart with months on the horizontal axis and ticket volume on the vertical axis.
Why this is correct
A line chart places time on the horizontal axis and connects ordered points, so rising and falling ticket volume reads as a continuous trajectory. That makes recurring seasonal peaks immediately visible as repeating humps across the 24-month window, which is exactly the pattern leadership needs. Lines also scale well to two dozen periods, unlike categorical charts that crowd as categories multiply.
- ✗
A scatter plot of ticket volume against month index.
Why it's wrong here
A scatter plot is designed for relationships between two continuous measures and gives no connecting line, so the temporal sequence is lost even if months are on one axis. Readers would see a cloud of points rather than a trajectory with identifiable peaks. Seasonality is a trend-over-time question, which is the native strength of a line chart, not a scatter plot.
- ✗
A pie chart with one slice per month.
Why it's wrong here
A pie chart encodes parts of a whole, and 24 monthly slices would be visually indistinguishable while conveying no sense of sequence. It also forces readers to compare angles rather than positions, which is far less accurate for judging change. Seasonality requires reading peaks and troughs in order, which a pie cannot express because its slices have no inherent time axis.
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Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official CompTIA exam blueprint
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