DA0-002 Data Analysis Practice Question
A dataset contains a feature 'Age' with values ranging from 18 to 95. To prepare data for a k-nearest neighbors algorithm, which transformation should be applied to 'Age'?
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
✓
Min-max normalization
Min-max normalization scales features to a fixed range (e.g., 0-1), which is appropriate for distance-based algorithms like k-NN.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Z-score standardization
Why it's wrong here
Z-score is better for algorithms assuming Gaussian distribution, not mandatory for distance-based.
- ✓
Min-max normalization
Why this is correct
Min-max normalization ensures all features contribute equally to distance calculations.
- ✗
No transformation needed
Why it's wrong here
k-NN is sensitive to scale; transformation is necessary.
- ✗
Log transformation
Why it's wrong here
Log transformation is for reducing skewness, not scaling.
Go deeper
Related to this question
About these practice questions
Courseiva writes every DA0-002 question from scratch — 986 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or 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.