- A
Remove the new product launch data from the report to show a clearer comparison.
Why wrong: Hiding data is not transparent and misrepresents the business.
- B
Present only the data from the new product launch to show growth potential.
Why wrong: This is misleading because it omits the promotion end impact.
- C
Present the data with annotations explaining the promotion end and new product launch, and recommend analyzing customer retention and cross-selling opportunities.
This provides full context and actionable insights.
- D
Present the drop as-is and recommend cutting costs to compensate for the revenue decline.
Why wrong: This ignores the context and may lead to unnecessary cost-cutting.
Quick Answer
The correct answer is to present the data with annotations explaining the promotion end and new product launch, and recommend analyzing customer retention and cross-selling opportunities. This choice is correct because it embodies the principle of transparent data communication with annotations, ensuring that the raw data is not misleading by providing essential context—such as the end of a promotional event and the introduction of lower-priced products—directly within the report. On the CompTIA Data+ DA0-001 exam, this scenario tests your understanding of ethical data presentation and the importance of preserving data integrity in a data warehouse environment, where a sudden metric change often has a legitimate business cause rather than an error. A common trap is to filter out the “bad” weeks or adjust the data to show a smoother trend, but that violates transparency. Remember the mnemonic “Annotate, Don’t Alter” to recall that your job is to explain the story behind the numbers, not to rewrite it.
DA0-001 Communicating Data Insights Practice Question
This DA0-001 practice question tests your understanding of communicating data insights. 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 large e-commerce company has a data warehouse that stores daily sales transactions. The data analytics team creates a weekly report for the executive team that includes total revenue, number of orders, and average order value. Recently, the report showed a sudden 20% drop in total revenue compared to the previous week. Upon investigation, the data analyst discovers that a major promotional event ended the previous week, and the current week's data includes a new product launch with lower prices. The analyst needs to present this data to the executives in a way that accurately reflects the business situation. The analyst must also provide recommendations for actions. Which of the following is the best course of action?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"best"Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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
Present the data with annotations explaining the promotion end and new product launch, and recommend analyzing customer retention and cross-selling opportunities.
Option C is correct because it adheres to the principle of transparent data communication: the analyst must present the full dataset with contextual annotations (promotion end, new product launch) to avoid misleading executives. This approach enables informed decision-making, and the recommendation to analyze customer retention and cross-selling opportunities directly addresses the underlying business dynamics—understanding whether the revenue drop is temporary or signals a shift in customer behavior. In a data warehouse context, this ensures that the weekly report reflects the true state of the business rather than a manipulated or incomplete view.
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.
- ✗
Remove the new product launch data from the report to show a clearer comparison.
Why it's wrong here
Hiding data is not transparent and misrepresents the business.
- ✗
Present only the data from the new product launch to show growth potential.
Why it's wrong here
This is misleading because it omits the promotion end impact.
- ✓
Present the data with annotations explaining the promotion end and new product launch, and recommend analyzing customer retention and cross-selling opportunities.
Why this is correct
This provides full context and actionable insights.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Present the drop as-is and recommend cutting costs to compensate for the revenue decline.
Why it's wrong here
This ignores the context and may lead to unnecessary cost-cutting.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may think removing or cherry-picking data (Options A and B) simplifies the story for executives, but the exam tests the ethical and professional standard of presenting complete, contextualized data—even when it shows a negative trend—while offering actionable recommendations based on the full picture.
Detailed technical explanation
How to think about this question
In a data warehouse environment, weekly reports often aggregate transactional data using ETL processes that may not automatically flag contextual events like promotion cycles or product launches. Annotations in business intelligence tools (e.g., Tableau, Power BI) allow analysts to overlay metadata on visualizations, which is critical for time-series comparisons where seasonality or external factors distort raw metrics. A real-world scenario: a sudden 20% drop in revenue might trigger a false alarm if not annotated, but with proper context, executives can differentiate between a temporary dip and a structural change, enabling targeted actions like adjusting inventory or marketing spend.
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 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 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: Present the data with annotations explaining the promotion end and new product launch, and recommend analyzing customer retention and cross-selling opportunities. — Option C is correct because it adheres to the principle of transparent data communication: the analyst must present the full dataset with contextual annotations (promotion end, new product launch) to avoid misleading executives. This approach enables informed decision-making, and the recommendation to analyze customer retention and cross-selling opportunities directly addresses the underlying business dynamics—understanding whether the revenue drop is temporary or signals a shift in customer behavior. In a data warehouse context, this ensures that the weekly report reflects the true state of the business rather than a manipulated or incomplete view.
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.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 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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