DA0-002 Data Acquisition and Preparation Practice Question
A retail company wants to analyze customer purchase patterns to identify products frequently bought together. Which data mining technique 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
✓
Association rules
Association rules (market basket analysis) discover co-occurrence relationships. Regression predicts numeric values, clustering groups similar items, classification assigns categories.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Classification
Why it's wrong here
Classification predicts discrete class labels.
- ✗
Clustering
Why it's wrong here
Clustering groups similar entities, not relationships between items.
- ✗
Regression
Why it's wrong here
Regression predicts a continuous target, not associations.
- ✓
Association rules
Why this is correct
Association rules identify frequent itemsets and co-occurrence patterns.
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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.