- A
The level of confidence or statistical significance.
Confidence helps stakeholders assess reliability.
- B
The source code of the analysis scripts.
Why wrong: Code is irrelevant to most stakeholders.
- C
All raw data used in the analysis.
Why wrong: Raw data can overwhelm; summaries are better.
- D
A clear recommendation based on the insight.
Recommendations guide decision-making.
- E
An estimate of the potential business impact.
Impact estimation helps prioritize actions.
Quick Answer
The answer is an estimate of the potential business impact, along with the level of confidence or statistical significance and a clear recommendation for action. These three elements are essential because an actionable data insight report must bridge the gap between raw analysis and real-world decision-making; the business impact estimate quantifies the value or risk at stake, while the confidence level tells stakeholders how reliable the finding is, preventing them from acting on noise. On the CompTIA Data+ DA0-001 exam, this question tests your understanding of the reporting phase of the data analysis lifecycle, often appearing as a multiple-select item where distractors include vague summaries or raw data dumps. A common trap is choosing “visualizations” alone—while helpful, visuals without impact or confidence are not actionable. Remember the mnemonic “BIC” for Business impact, Insight confidence, and Clear call-to-action to keep these three pillars straight.
DA0-001 Communicating Data Insights Practice Question
This DA0-001 practice question tests your understanding of communicating data insights. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.
Which THREE elements should be included in a data insight report to ensure it is actionable? (Choose three.)
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 level of confidence or statistical significance.
Option A is correct because an actionable data insight report must include the level of confidence or statistical significance to allow decision-makers to assess the reliability of the findings. Without this, stakeholders cannot determine whether the observed patterns are likely to be real or due to random chance, which is critical for making data-driven decisions.
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.
- ✓
The level of confidence or statistical significance.
Why this is correct
Confidence helps stakeholders assess reliability.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
The source code of the analysis scripts.
Why it's wrong here
Code is irrelevant to most stakeholders.
- ✗
All raw data used in the analysis.
Why it's wrong here
Raw data can overwhelm; summaries are better.
- ✓
A clear recommendation based on the insight.
Why this is correct
Recommendations guide decision-making.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
An estimate of the potential business impact.
Why this is correct
Impact estimation helps prioritize actions.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
CompTIA often tests the distinction between technical artifacts (like source code or raw data) and actionable business insights, so candidates mistakenly include all supporting materials instead of focusing on elements that directly drive decision-making.
Detailed technical explanation
How to think about this question
Statistical significance, often expressed as a p-value or confidence interval, quantifies the probability that the observed result is not due to random variation. In practice, a 95% confidence level means that if the same analysis were repeated 100 times, the true effect would fall within the reported interval 95 times. This is crucial in A/B testing or regression analysis where business decisions hinge on whether a metric change is statistically meaningful, not just numerically different.
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.
TExam Day Tips
- 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 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
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this DA0-001 question test?
Communicating Data Insights — This question tests Communicating Data Insights — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The level of confidence or statistical significance. — Option A is correct because an actionable data insight report must include the level of confidence or statistical significance to allow decision-makers to assess the reliability of the findings. Without this, stakeholders cannot determine whether the observed patterns are likely to be real or due to random chance, which is critical for making data-driven decisions.
What should I do if I get this DA0-001 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
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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