Question 476 of 509
Comparing and Contrasting Data ConceptsmediumMultiple SelectObjective-mapped

DA0-001 Comparing and Contrasting Data Concepts Practice Question

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 data types are considered quantitative? (Select two.)

Question 1mediummulti select
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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

Customer satisfaction rating (1-5)

Customer satisfaction rating (1-5) is quantitative because it represents numerical values that can be measured and subjected to mathematical operations, such as calculating an average. Temperature in Celsius is also quantitative as it is a continuous numerical measurement on an interval scale, allowing for meaningful arithmetic comparisons. Both options involve numeric data that can be analyzed statistically.

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.

  • Customer satisfaction rating (1-5)

    Why this is correct

    Correct. Although ordinal, it is a numeric rating and considered quantitative.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Temperature in Celsius

    Why this is correct

    Correct. Temperature is measured on a continuous quantitative scale.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Product color

    Why it's wrong here

    Incorrect. Product color is a categorical (qualitative) variable.

  • Zip code

    Why it's wrong here

    Incorrect. Zip code is a nominal identifier, not quantitative.

  • Employee ID

    Why it's wrong here

    Incorrect. Employee ID is a nominal identifier, not quantitative.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often mistake numeric-looking identifiers (like zip codes or employee IDs) for quantitative data, failing to recognize that they are nominal categorical variables with no mathematical significance.

Detailed technical explanation

How to think about this question

Quantitative data is classified as either discrete (e.g., counts like 1-5 ratings) or continuous (e.g., temperature). In data analysis, distinguishing between interval and ratio scales is critical: temperature in Celsius is interval (no true zero), while a rating scale is often treated as ordinal but can be analyzed as discrete quantitative if intervals are assumed equal. Real-world scenarios, such as calculating mean customer satisfaction or average daily temperature, rely on this distinction to apply appropriate statistical tests.

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?

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: Customer satisfaction rating (1-5) — Customer satisfaction rating (1-5) is quantitative because it represents numerical values that can be measured and subjected to mathematical operations, such as calculating an average. Temperature in Celsius is also quantitative as it is a continuous numerical measurement on an interval scale, allowing for meaningful arithmetic comparisons. Both options involve numeric data that can be analyzed statistically.

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 24, 2026

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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.