The correct answer is to remove all records with negative heart rate values, as they are invalid. This action directly addresses the data validity issue because negative heart rates are physiologically impossible, making them invalid data that cannot produce meaningful analysis. In the context of data quality, validity ensures that data conforms to defined rules—here, heart rate must be a positive integer—so removing these records preserves the original integer data type and prevents skewed calculations in the combined cardiac stress index. On the CompTIA Data+ DA0-001 exam, this scenario tests your understanding of data validity as a dimension of data quality, often appearing in questions about handling outliers or impossible values without altering data types. A common trap is to replace invalid values with averages or zeros, which would corrupt the metric’s integrity. Remember the memory tip: “If it can’t happen in reality, remove it for validity.”
DA0-001 Comparing and Contrasting Data Concepts Practice Question
This DA0-001 practice question tests your understanding of comparing and contrasting data concepts. 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 building a dashboard to monitor patient vitals. They receive data from two sources: Source 1 provides 'heart rate' as an integer (beats per minute), and Source 2 provides 'blood pressure' as a ratio (systolic/diastolic, e.g., 120/80). The team wants to create a combined metric called 'cardiac stress index' that uses both heart rate and systolic blood pressure. However, they notice that heart rate data occasionally contains negative values due to sensor errors. The data governance policy requires that all data be valid and meaningful. Which action best addresses the data quality issue while preserving the data types?
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 the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Remove all records with negative heart rate values as they are invalid
Option D is correct because negative heart rate values are physiologically impossible and violate the data governance policy requiring valid and meaningful data. Removing these records ensures the dashboard only contains accurate, actionable data without altering the original integer data type of heart rate, preserving its numerical integrity for the 'cardiac stress index' calculation.
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.
✗
Convert heart rate to absolute values (remove the negative sign)
Why it's wrong here
This would create false positive values, misrepresenting the actual data.
✗
Keep negative values but set them to NULL to indicate missing data
Why it's wrong here
NULLs can cause issues in calculations and reduce sample size unnecessarily.
✗
Change heart rate from integer to categorical (e.g., low, normal, high) to avoid negative issues
Why it's wrong here
This loses the precision needed for the index calculation.
✓
Remove all records with negative heart rate values as they are invalid
Why this is correct
Negative heart rates are not physiologically possible, so deletion is appropriate for data quality.
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 choose Option A (converting to absolute values) thinking it 'fixes' the data, but this introduces false data and violates data validity, whereas the correct approach is to remove invalid records to maintain data integrity.
Detailed technical explanation
How to think about this question
In healthcare analytics, data quality dimensions like validity and completeness are critical; invalid values (e.g., negative heart rate) must be handled at the ETL stage, often via filtering or validation rules. Under the hood, integer data types allow arithmetic operations (e.g., mean, sum) that are essential for metrics like cardiac stress index, whereas categorical types would require encoding or aggregation, losing precision. A real-world scenario involves FDA-regulated systems where invalid data must be excluded to avoid misleading clinical decisions, and removal is preferred over imputation when errors are due to known sensor malfunctions.
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.
Comparing and Contrasting Data Concepts — This question tests Comparing and Contrasting Data Concepts — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Remove all records with negative heart rate values as they are invalid — Option D is correct because negative heart rate values are physiologically impossible and violate the data governance policy requiring valid and meaningful data. Removing these records ensures the dashboard only contains accurate, actionable data without altering the original integer data type of heart rate, preserving its numerical integrity for the 'cardiac stress index' calculation.
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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