This DA0-001 practice question tests your understanding of visualizing data. Compare every option against the stated constraints before choosing — the best answer satisfies all requirements, not just the most obvious one. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A data analyst is creating a dashboard to monitor server CPU utilization over the past 24 hours. Which chart type is most appropriate for showing the trend of CPU usage over time?
Scatter plot
Why wrong: Scatter plots show correlation between two variables, not time series.
Pie chart
Why wrong: Pie charts are for parts of a whole, not time trends.
Line chart
Line charts display trends over time effectively.
Bar chart
Why wrong: Bar charts compare categories, not continuous trends.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Line chart
A line chart is the most appropriate choice for displaying CPU utilization trends over a continuous 24-hour period because it connects data points in chronological order, making it easy to observe peaks, valleys, and overall patterns. The x-axis represents time (hours), and the y-axis represents CPU usage percentage, allowing the analyst to quickly identify when utilization spikes or drops. This aligns with the DA0-001 objective of selecting the correct visualization for time-series data.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Scatter plot
Why it's wrong here
Scatter plots show correlation between two variables, not time series.
Pie chart
Why it's wrong here
Pie charts are for parts of a whole, not time trends.
Line chart
Why this is correct
Line charts display trends over time effectively.
Related concept
Read the scenario before looking for a memorised answer.
Bar chart
Why it's wrong here
Bar charts compare categories, not continuous trends.
Common exam traps
CompTIA often tests the misconception that a bar chart is suitable for time-series data, but bar charts are better for comparing distinct categories or aggregated values (e.g., average CPU per hour) rather than showing the continuous flow of data points over time.
Trap categories for this question
Command / output trap
Scatter plots show correlation between two variables, not time series.
Detailed technical explanation
Line charts are ideal for time-series data because they emphasize the sequence and magnitude of changes, using the slope between points to indicate rate of change. In real-world monitoring dashboards (e.g., Grafana or Datadog), CPU utilization data is often sampled every minute or second, and a line chart aggregates these points into a smooth trend line, highlighting anomalies like sustained high usage or sudden drops. The choice of chart type directly impacts the ability to detect patterns such as diurnal cycles or performance degradation over the 24-hour window.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A small business has 20 workstations on the 192.168.1.0/24 network and one public IP from its ISP. The router uses PAT (NAT overload) so all 20 devices share one public address using different source ports. NAT questions test whether you understand the four address terms and which direction each translation applies.
What to study next
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FAQ
Visualizing Data — This question tests Visualizing Data — Read the scenario before looking for a memorised answer..
The correct answer is: Line chart — A line chart is the most appropriate choice for displaying CPU utilization trends over a continuous 24-hour period because it connects data points in chronological order, making it easy to observe peaks, valleys, and overall patterns. The x-axis represents time (hours), and the y-axis represents CPU usage percentage, allowing the analyst to quickly identify when utilization spikes or drops. This aligns with the DA0-001 objective of selecting the correct visualization for time-series data.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 30, 2026
This DA0-001 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 DA0-001 exam.
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