AI0-001 Machine Learning and Deep Learning Practice Question
While training a deep neural network, the loss function fails to converge and oscillates wildly. Which adjustment is most likely to stabilize training?
⚠ Common exam trap
CompTIA often tests the misconception that increasing model complexity (more layers) or using more data (test set) directly fixes training instability, when in fact the learning rate is the primary culprit for oscillation and non-convergence.
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
✓
Reduce the learning rate
When the loss function oscillates wildly and fails to converge, it typically indicates that the learning rate is too high, causing the optimizer to overshoot the minima. Reducing the learning rate allows the gradient descent updates to take smaller, more stable steps, which helps the loss converge smoothly. This is a fundamental hyperparameter tuning step in deep learning training.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Increase the number of hidden layers
Why it's wrong here
More layers increase complexity and may worsen oscillations.
- ✗
Decrease the batch size
Why it's wrong here
Smaller batch sizes introduce more noise, which can increase oscillations.
- ✓
Reduce the learning rate
Why this is correct
Lower learning rate reduces step size, stabilizing training.
- ✗
Use a test set
Why it's wrong here
Test set is for evaluation, not for training stability.
About these practice questions
Courseiva writes every AI0-001 question from scratch — 754 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 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.