AI0-001 Implementing AI Solutions Practice Question
In the AI project lifecycle, which phase involves partitioning the dataset into training, validation, and test sets?
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
✓
Data preparation
Data preparation includes splitting the data to evaluate model performance and prevent leakage.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Data acquisition
Why it's wrong here
Data acquisition is about gathering data, not splitting.
- ✗
Model selection
Why it's wrong here
Model selection chooses algorithms, typically after data is prepared.
- ✓
Data preparation
Why this is correct
Data preparation encompasses cleaning, normalisation, and splitting into train/validation/test sets.
- ✗
Problem definition
Why it's wrong here
Problem definition defines objectives, not data splitting.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI0-001 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 AI0-001 exam.