This DA0-001 practice question tests your understanding of comparing and contrasting data concepts. 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.
Which TWO of the following are examples of quantitative data? (Choose TWO.)
Product color
Why wrong: Color is a category, not numeric.
Age in years
Age is a numeric, quantitative variable.
Customer satisfaction rating (Poor, Fair, Good)
Why wrong: Ordinal categorical, not numeric.
Country of origin
Why wrong: Country is a categorical, qualitative variable.
Shoe size
Shoe size is numeric (though sometimes treated as ordinal, it is quantitative).
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Age in years
Option B is correct because age in years is a numerical measurement that can be counted or measured on a ratio scale, making it quantitative data. Quantitative data represents quantities that can be expressed numerically and subjected to mathematical operations, such as calculating the average age of a group.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Product color
Why it's wrong here
Color is a category, not numeric.
Age in years
Why this is correct
Age is a numeric, quantitative variable.
Related concept
Read the scenario before looking for a memorised answer.
Customer satisfaction rating (Poor, Fair, Good)
Why it's wrong here
Ordinal categorical, not numeric.
Country of origin
Why it's wrong here
Country is a categorical, qualitative variable.
Shoe size
Why this is correct
Shoe size is numeric (though sometimes treated as ordinal, it is quantitative).
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
The trap here is that candidates often confuse ordinal data (like customer satisfaction ratings) with quantitative data because the categories have an order, but they are still qualitative since the values are not numeric measurements.
Detailed technical explanation
Quantitative data is further divided into discrete (e.g., shoe size, which takes only specific integer values) and continuous (e.g., age in years, which can theoretically take any value within a range). In data analysis, distinguishing quantitative from qualitative data is crucial for selecting appropriate statistical tests: quantitative data allows for mean, standard deviation, and t-tests, while qualitative data requires chi-square tests or mode-based analysis. For example, in a customer database, age in years can be used to calculate average customer age, whereas product color cannot be averaged meaningfully.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
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FAQ
Comparing and Contrasting Data Concepts — This question tests Comparing and Contrasting Data Concepts — Read the scenario before looking for a memorised answer..
The correct answer is: Age in years — Option B is correct because age in years is a numerical measurement that can be counted or measured on a ratio scale, making it quantitative data. Quantitative data represents quantities that can be expressed numerically and subjected to mathematical operations, such as calculating the average age of a group.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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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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