AI0-001 AI Models and Data Engineering Practice Question
A data scientist notices that a binary classification model consistently predicts the majority class. Which data engineering technique should be applied?
⚠ Common exam trap
CompTIA often tests the misconception that feature scaling or dimensionality reduction can fix class imbalance, when in reality these techniques address different issues like feature magnitude or curse of dimensionality, not skewed target distributions.
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
✓
Oversampling
Oversampling (Option D) is correct because the model's bias toward the majority class indicates a class imbalance problem. By synthetically increasing the number of minority class samples (e.g., using SMOTE or random oversampling), the training data becomes more balanced, allowing the classifier to learn decision boundaries that are not skewed toward the majority class.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Feature scaling
Why it's wrong here
Feature scaling normalizes feature ranges but does not address class imbalance.
- ✗
Dimensionality reduction
Why it's wrong here
Dimensionality reduction reduces the number of features, which may affect performance but does not address imbalance.
- ✗
Polynomial features
Why it's wrong here
Polynomial features add interaction terms, which can increase model complexity but not fix imbalance.
- ✓
Oversampling
Why this is correct
Oversampling (e.g., SMOTE) creates synthetic samples of the minority class to balance the dataset.
About these practice questions
One of 754 original AI0-001 practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →
JA
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.