MLS-C01 Practice Question: Machine Learning Implementation and Operations
A machine learning team is using Amazon SageMaker to train a model. The training job uses spot instances to reduce cost. However, the training job is frequently interrupted. Which TWO actions can help mitigate the impact of spot interruptions? (Choose 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
✓
Use managed spot training with SageMaker's 'ManagedSpotTraining' parameter set to True.
Managed spot training (C) automatically manages the lifecycle of spot instances, including saving checkpoints and relaunching training when capacity becomes available. Checkpointing (D) saves model state periodically to Amazon S3, allowing training to resume from the last checkpoint after an interruption, minimizing progress loss. Option A (increasing instances) does not prevent interruptions and raises cost. Option B (larger instance type) does not guarantee lower interruption rates and is cost-inefficient. Option E (on-demand instances) avoids interruptions but defeats the purpose of cost reduction.
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 increase interruptions.
- ✗
Use a larger instance type that is less likely to be interrupted.
Why it's wrong here
Spot interruptions are not instance-type specific.
- ✓
Use managed spot training with SageMaker's 'ManagedSpotTraining' parameter set to True.
Why this is correct
Managed spot training handles interruptions.
- ✓
Enable checkpointing to save intermediate results to Amazon S3.
Why this is correct
Checkpoints allow resuming training.
- ✗
Switch to on-demand instances.
Why it's wrong here
On-demand instances cost more.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
Go deeper
Related to this question
About these practice questions
One of 1,672 original MLS-C01 practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →
JA
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.