MLS-C01 Practice Question: Machine Learning Implementation and Operations
A company is using Amazon SageMaker to train a model. The training job is taking too long. The data scientist notices that the GPU utilization is low. Which action should be taken to improve training performance?
⚠ Common exam trap
AWS often tests the misconception that low GPU utilization is caused by insufficient compute resources, leading candidates to choose increasing instances (Option A) instead of recognizing it as a data pipeline or batch size issue.
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 batch size in the training script.
Low GPU utilization during training typically indicates that the GPU is waiting for data, often due to a small batch size that underutilizes the GPU's parallel processing capacity. Increasing the batch size allows the GPU to process more samples per step, improving computational efficiency and throughput, which directly addresses the low utilization issue.
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 training instances.
Why it's wrong here
More instances may not improve per-instance utilization.
- ✗
Use spot instances to reduce cost.
Why it's wrong here
Does not affect utilization.
- ✗
Decrease the batch size to reduce memory usage.
Why it's wrong here
Smaller batch size reduces utilization.
- ✓
Increase the batch size in the training script.
Why this is correct
Larger batch size keeps GPU busy.
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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.