- A
Apply logarithmic scaling to the y-axis
Why wrong: Log scaling compresses values but does not address the aggregation method.
- B
Use median instead of mean for aggregation
Median is less sensitive to outliers than mean.
- C
Change the chart type to a pie chart
Why wrong: Changing chart type does not fix the aggregation issue.
- D
Remove all outliers from the dataset
Why wrong: Removing outliers may discard valid data; better to use robust aggregation.
DA0-001 Visualizing Data Practice Question
This DA0-001 practice question tests your understanding of visualizing data. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 creates a dashboard showing average order value by region. The chart indicates that one region has an unusually high average. Investigation reveals that the region has very few orders, but one large purchase inflates the average. Which data transformation should the analyst apply to improve the visualization?
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 median instead of mean for aggregation
Option A is correct because using an appropriate aggregation like median or grouping with sufficient data can mitigate the impact of outliers. Other options do not address the root cause.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Apply logarithmic scaling to the y-axis
Why it's wrong here
Log scaling compresses values but does not address the aggregation method.
- ✓
Use median instead of mean for aggregation
Why this is correct
Median is less sensitive to outliers than mean.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Change the chart type to a pie chart
Why it's wrong here
Changing chart type does not fix the aggregation issue.
- ✗
Remove all outliers from the dataset
Why it's wrong here
Removing outliers may discard valid data; better to use robust aggregation.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A practitioner preparing for the DA0-001 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Got this wrong? Here's your next step.
Identify which DA0-001 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
- →
Visualizing Data — study guide chapter
Learn the concepts, then practise the questions
- →
Visualizing Data practice questions
Targeted practice on this topic area only
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FAQ
Questions learners often ask
What does this DA0-001 question test?
Visualizing Data — This question tests Visualizing Data — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use median instead of mean for aggregation — Option A is correct because using an appropriate aggregation like median or grouping with sufficient data can mitigate the impact of outliers. Other options do not address the root cause.
What should I do if I get this DA0-001 question wrong?
Identify which DA0-001 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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Last reviewed: Jun 24, 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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