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Data Acquisition and PreparationmediumMultiple ChoiceObjective-mapped

DA0-002 Data Acquisition and Preparation Practice Question

A data analyst wants to randomly select 100 customers from a database for a survey, ensuring that the sample reflects the proportion of male and female customers in the population. Which sampling method is most appropriate?

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 ensures proportional representation of subgroups (strata).

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Stratified sampling

    Why this is correct

    Stratified sampling by gender ensures proportional representation.

  • Cluster sampling

    Why it's wrong here

    Cluster sampling selects groups, not individuals proportionally.

  • Simple random sampling

    Why it's wrong here

    Simple random sampling may not preserve gender proportions.

  • Systematic sampling

    Why it's wrong here

    Systematic sampling selects every kth element, not proportional.

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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.