MLS-C01 Amazon SageMaker Managed Spot Training Practice Question
A company is deploying a machine learning model using Amazon SageMaker. To reduce costs, they want to use SageMaker Managed Spot Training. Which THREE conditions must be met for the training job to use spot instances? (Choose THREE.)
⚠ Common exam trap
A common trap is to think that serverless endpoints or VPC configuration are required for spot training. They are not. The key requirements are interruption handling and checkpointing.
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
✓
The training job must be able to handle interruptions gracefully
For SageMaker Managed Spot Training, the training job must be able to handle interruptions (B) because spot instances can be reclaimed. The chosen instance type must be available in the spot market (C). Additionally, the training script should save checkpoints to S3 periodically (D) to resume training if interrupted. Option A is incorrect because spot training is for training, not deploying endpoints. Option E is not required; training can run inside or outside a VPC.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The model must be deployed to a serverless endpoint
Why it's wrong here
Serverless endpoints are for inference, not training.
- ✓
The training job must be able to handle interruptions gracefully
Why this is correct
Spot instances can be reclaimed; the job must be fault-tolerant.
- ✓
The chosen instance type must be available in the spot market
Why this is correct
Some instance types are not available as spot.
- ✓
The training script must save checkpoints to an S3 bucket periodically
Why this is correct
Checkpointing allows resuming after interruption.
- ✗
The training job must be configured to run in a VPC
Why it's wrong here
Spot training does not require a VPC.
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
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Senior Network & Security Engineer · founder of Courseiva
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