MLS-C01 Modeling Practice Question
A data scientist trains a convolutional neural network (CNN) for image classification. The training loss decreases steadily, but the validation loss starts increasing after 10 epochs. Which technique should the data scientist use to address this problem?
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
✓
Use early stopping to halt training when validation loss stops decreasing.
Early stopping halts training when validation loss stops improving, preventing overfitting. Option A (increasing data augmentation) may help reduce overfitting but does not directly address the already occurring validation loss increase. Option C (more epochs) would worsen overfitting. Option D (more convolutional layers) increases model capacity, likely worsening overfitting. Option E (higher learning rate) may cause divergence or instability.
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 more data augmentation to the training set.
Why it's wrong here
Data augmentation helps generalization but is not the immediate fix for overfitting already occurring.
- ✓
Use early stopping to halt training when validation loss stops decreasing.
Why this is correct
Early stopping prevents overfitting by stopping at the optimal point.
- ✗
Increase the number of training epochs.
Why it's wrong here
More epochs will likely increase overfitting.
- ✗
Add more convolutional layers to increase model capacity.
Why it's wrong here
More capacity can worsen overfitting.
- ✗
Increase the learning rate.
Why it's wrong here
Higher learning rate may cause training instability.
Go deeper
Related to this question
About these practice questions
This MLS-C01 question is part of Courseiva's 1,672-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 MLS-C01 practice question is part of Courseiva's free Amazon Web Services 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 MLS-C01 exam.