AI0-001 Machine Learning and Deep Learning Practice Question
A deep learning engineer is training a convolutional neural network for image classification. The model is overfitting the training data. Which three techniques can help reduce overfitting? (Choose three.)
⚠ Common exam trap
In CompTIA AI+ exams, a common trap is assuming that reducing the learning rate or increasing model depth can mitigate overfitting, when in fact these adjustments either have no effect on overfitting or worsen it.
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
✓
Add dropout layers
Dropout layers randomly deactivate a fraction of neurons during training, which prevents co-adaptation and forces the network to learn more robust features. This reduces overfitting by acting as a form of ensemble learning without increasing model complexity.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Add dropout layers
Why this is correct
Dropout randomly drops units during training, reducing co-adaptation.
- ✓
Apply L2 regularization
Why this is correct
L2 penalizes large weights, preventing overfitting.
- ✓
Use data augmentation
Why this is correct
Augmentation increases effective training set size, improving generalization.
- ✗
Use a smaller learning rate
Why it's wrong here
Smaller learning rate may slow convergence but does not directly regularize the model.
- ✗
Increase the number of convolutional layers
Why it's wrong here
More layers increase model complexity and typically worsen overfitting.
About these practice questions
This AI0-001 question is part of Courseiva's 962-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam 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 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.