AI0-001 AI Concepts and Foundations Practice Question
An AI engineer is tuning a deep learning model and observes that the training loss decreases very slowly. The learning rate is set to 0.001. Which adjustment is most likely to speed up convergence?
⚠ Common exam trap
CompTIA often tests the misconception that decreasing the learning rate always improves training, when in fact a learning rate that is too low is a primary cause of slow convergence, and the correct adjustment is to increase it within a safe range.
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 to 0.01
A learning rate of 0.001 is causing the model to take very small steps toward the minimum of the loss function, resulting in slow convergence. Increasing the learning rate to 0.01 allows larger weight updates per iteration, which typically speeds up training. However, care must be taken not to overshoot the optimum, as an excessively high learning rate can cause divergence.
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 learning rate to 0.01
Why this is correct
A higher learning rate allows larger weight updates, potentially speeding up convergence.
- ✗
Add more hidden layers
Why it's wrong here
Adding layers increases complexity and training time, not necessarily speeding convergence.
- ✗
Decrease the learning rate to 0.0001
Why it's wrong here
A lower learning rate will slow convergence further.
- ✗
Increase the batch size
Why it's wrong here
Larger batch sizes can cause slower per-update convergence and require more epochs.
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.