DA0-002 Data Analysis Practice Question
A retail company wants to segment its customers based on purchase history. Which THREE methods are appropriate for customer segmentation?
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
✓
RFM analysis
K-means clustering, hierarchical clustering, and RFM analysis are common segmentation techniques. Linear regression and t-test are not segmentation methods.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
RFM analysis
Why this is correct
Segments based on recency, frequency, monetary value.
- ✗
Linear regression
Why it's wrong here
Regression predicts a continuous outcome, not segmentation.
- ✓
K-means clustering
Why this is correct
Partitions data into k clusters.
- ✗
t-test
Why it's wrong here
Hypothesis test, not segmentation.
- ✓
Hierarchical clustering
Why this is correct
Creates a hierarchy of clusters.
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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.