The correct answer is to correct the previous month’s data, recalculate the change, and present the increase alongside an explanation of the new program and the data correction. This approach is best because it directly addresses the core principle of data integrity: when handling data errors in reports to stakeholders, you must first fix the root cause of the inaccuracy—here, the erroneous discharge dates—before analyzing trends. By recalculating the baseline, you ensure the reported increase reflects the true impact of the new chronic disease management program, not a misleading artifact of poor data quality. On the CompTIA Data+ DA0-001 exam, this scenario tests your ability to prioritize data cleaning and transparent communication over simply explaining away errors or ignoring them; a common trap is to present the raw increase without correction, which would mislead administrators. Remember the mnemonic “C-CAP”: Correct the error, Calculate the true change, Add context, and Present clearly.
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.
A healthcare analytics team is responsible for producing a monthly dashboard for hospital administrators. The dashboard includes key metrics such as patient admission rates, average length of stay, readmission rates, and bed occupancy. For the current month, the data shows a significant increase in average length of stay. The data analyst suspects that this increase is due to a new chronic disease management program that was implemented at the beginning of the month. However, the analyst also notices that the data for the previous month had an error: some discharge dates were incorrectly recorded, causing the average length of stay to be artificially low. The analyst needs to communicate the insights to the administrators, who are concerned about the increase. 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.
Correct the previous month's data and present the adjusted increase, emphasizing the data error.
Why wrong: While correction is good, it may distract from the program's impact.
B
Present the raw data as-is and explain that the increase is due to the new program.
Why wrong: The raw data contains an error that will mislead stakeholders.
C
Delay the report until the next month to gather more data on the program's effect.
Why wrong: Delaying the report prevents timely decision-making.
D
Correct the previous month's data, recalculate the change, and present the increase alongside an explanation of the new program and the data correction.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Correct the previous month's data, recalculate the change, and present the increase alongside an explanation of the new program and the data correction.
Option D is the best course of action because it addresses both the data quality issue and the business concern. By correcting the previous month's erroneous discharge dates, the analyst recalculates the true baseline, ensuring the reported increase in average length of stay is accurate. Presenting the corrected data alongside an explanation of the new chronic disease management program provides a complete, transparent narrative that separates the impact of the data error from the program's effect, which is essential for informed decision-making by hospital administrators.
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.
✗
Correct the previous month's data and present the adjusted increase, emphasizing the data error.
Why it's wrong here
While correction is good, it may distract from the program's impact.
✗
Present the raw data as-is and explain that the increase is due to the new program.
Why it's wrong here
The raw data contains an error that will mislead stakeholders.
✗
Delay the report until the next month to gather more data on the program's effect.
Why it's wrong here
Delaying the report prevents timely decision-making.
✓
Correct the previous month's data, recalculate the change, and present the increase alongside an explanation of the new program and the data correction.
Why this is correct
This provides accurate data and full context.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may focus solely on the data correction (Option A) or the program explanation (Option B) without recognizing that both elements must be integrated to provide a complete and honest insight, which is a key principle of communicating data insights in the DA0-001 exam.
Detailed technical explanation
How to think about this question
In healthcare analytics, average length of stay (ALOS) is calculated as total patient days divided by the number of discharges. An error in discharge dates—such as recording a discharge date earlier than the actual date—reduces the calculated patient days, artificially lowering ALOS. Correcting such data involves validating discharge timestamps against admission records or electronic health record (EHR) audit logs, often using SQL queries to identify and update mismatched records. This scenario highlights the importance of data lineage and the need for a data quality framework that includes automated anomaly detection to flag potential errors before reporting.
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.
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: Correct the previous month's data, recalculate the change, and present the increase alongside an explanation of the new program and the data correction. — Option D is the best course of action because it addresses both the data quality issue and the business concern. By correcting the previous month's erroneous discharge dates, the analyst recalculates the true baseline, ensuring the reported increase in average length of stay is accurate. Presenting the corrected data alongside an explanation of the new chronic disease management program provides a complete, transparent narrative that separates the impact of the data error from the program's effect, which is essential for informed decision-making by hospital administrators.
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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Question Discussion
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