- A
No need to checkpoint the model
Why wrong: Checkpointing is recommended for spot training.
- B
Potential for significant cost savings
Savings can be up to 90%.
- C
Faster training times
Why wrong: Training may take longer due to interruptions.
- D
Guaranteed instance availability
Why wrong: Spot instances can be interrupted.
- E
Lower training cost compared to on-demand instances
Spot instances are cheaper.
Question 1,313 of 1,755
MLS-C01 Practice Question: Machine Learning Implementation and Operations
This MLS-C01 practice question tests your understanding of machine learning implementation and operations. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Which TWO of the following are benefits of using SageMaker Managed Spot Training? (Select TWO.)
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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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%.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
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.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that 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.
Detailed technical explanation
How to think about this question
Managed Spot Training uses EC2 Spot Instances, which are spare compute capacity offered at a discount. When AWS needs the capacity back, it issues a two-minute interruption notice, allowing SageMaker to save checkpoints and terminate gracefully. The training job can then be resumed on new Spot instances, making it ideal for distributed training or long-running jobs where cost savings are critical, but it requires a fault-tolerant design with checkpointing enabled.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this MLS-C01 question test?
Machine Learning Implementation and Operations — This question tests Machine Learning Implementation and Operations — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: 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.
What should I do if I get this MLS-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
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.
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