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.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
customer_id and age are discrete quantitative; income is continuous quantitative; education is qualitative
Option C is correct because it accurately classifies the data types: customer_id (a unique identifier) is discrete quantitative, age (countable whole numbers) is discrete quantitative, income (measurable on a continuous scale) is continuous quantitative, and education (categorical levels) is qualitative. This aligns with the JSON schema where numeric fields like age and income are represented as numbers, while education is a string and customer_id is an integer.
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.
✗
All fields are qualitative
Why it's wrong here
customer_id, age, and income are numeric.
✗
age and income are continuous; customer_id and education are discrete
Why it's wrong here
age is integer (discrete), income is float (continuous).
✓
customer_id and age are discrete quantitative; income is continuous quantitative; education is qualitative
Why this is correct
Integers are discrete; float is continuous; string is qualitative.
Related concept
Read the scenario before looking for a memorised answer.
✗
All fields are quantitative
Why it's wrong here
education is a string, qualitative.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse 'discrete' with 'continuous' for age, assuming all numeric fields are continuous, and fail to recognize that customer_id, though numeric, is a discrete identifier (nominal) rather than a measurable quantity.
Detailed technical explanation
How to think about this question
In JSON schema, data types are explicitly defined: 'integer' for discrete quantitative (e.g., customer_id, age), 'number' for continuous quantitative (e.g., income with decimal precision), and 'string' for qualitative (e.g., education). A real-world scenario where this matters is data validation in ETL pipelines—misclassifying income as integer could truncate cents, while treating education as quantitative would break statistical analysis. Subtle behavior: age is discrete because it's typically stored as an integer, but in some schemas it could be continuous if fractional ages are allowed (e.g., 25.5 years).
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.
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_id and age are discrete quantitative; income is continuous quantitative; education is qualitative — Option C is correct because it accurately classifies the data types: customer_id (a unique identifier) is discrete quantitative, age (countable whole numbers) is discrete quantitative, income (measurable on a continuous scale) is continuous quantitative, and education (categorical levels) is qualitative. This aligns with the JSON schema where numeric fields like age and income are represented as numbers, while education is a string and customer_id is an integer.
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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Question Discussion
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