DA0-002 Data Acquisition and Preparation Practice Question
A data analyst wants to ensure a sample proportionally represents different regions in a population. Which sampling method should be used?
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
✓
Stratified sampling
Stratified sampling divides the population into strata (regions) and samples proportionally from each.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Simple random sampling
Why it's wrong here
Simple random does not guarantee proportional representation.
- ✗
Cluster sampling
Why it's wrong here
Cluster samples entire groups, not proportional representation within groups.
- ✗
Systematic sampling
Why it's wrong here
Systematic sampling selects every kth element, not proportional by groups.
- ✓
Stratified sampling
Why this is correct
Stratified sampling ensures proportional representation from each stratum.
Go deeper
Related to this question
About these practice questions
This DA0-002 question is part of Courseiva's 986-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DA0-002 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 DA0-002 exam.