AI0-001 AI Concepts and Techniques Practice Question
A machine learning engineer is training a neural network for image classification. The training loss decreases slowly and the model accuracy improves only marginally each epoch. Which hyperparameter adjustment is MOST likely to accelerate convergence?
⚠ Common exam trap
CompTIA AI often tests the misconception that adding more layers or increasing batch size always improves training speed, when in fact the learning rate is the primary hyperparameter controlling convergence rate.
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
✓
Increase the learning rate
The training loss decreasing slowly and accuracy improving marginally each epoch indicates that the learning rate is too small, causing the optimizer to take very small steps toward the minimum of the loss function. Increasing the learning rate allows the optimizer to take larger steps per update, which accelerates convergence. Option C is correct because adjusting the learning rate directly addresses the step size in gradient descent.
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 hidden layers
Why it's wrong here
Adding layers increases capacity but may slow training and risk overfitting.
- ✗
Increase the batch size
Why it's wrong here
Larger batch sizes often lead to slower convergence per epoch due to fewer updates.
- ✓
Increase the learning rate
Why this is correct
A small learning rate causes slow convergence; increasing it can accelerate training.
- ✗
Decrease the number of epochs
Why it's wrong here
Decreasing epochs would stop training earlier, not accelerate convergence.
About these practice questions
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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.