MLS-C01 Practice Question: Machine Learning Implementation and Operations
Which TWO of the following are benefits of using SageMaker Managed Spot Training? (Select TWO.)
⚠ Common exam trap
Candidates often confuse 'lower cost' with 'faster training' or assume Spot instances are always available, but the key distinction is that Spot training is interruptible and requires checkpointing, while on-demand instances are reliable but more expensive.
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
✓
Potential for significant cost savings
SageMaker Managed Spot Training leverages spare AWS EC2 compute capacity at a significantly reduced price compared to on-demand instances, often achieving cost savings of 60-90%. This makes it a highly cost-effective option for training machine learning models, especially when the training job is fault-tolerant and can handle interruptions.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
No need to checkpoint the model
Why it's wrong here
Checkpointing is recommended for spot training.
- ✓
Potential for significant cost savings
Why this is correct
Savings can be up to 90%.
- ✗
Faster training times
Why it's wrong here
Training may take longer due to interruptions.
- ✗
Guaranteed instance availability
Why it's wrong here
Spot instances can be interrupted.
- ✓
Lower training cost compared to on-demand instances
Why this is correct
Spot instances are cheaper.
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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.