MLA-C01 ML Model Development Practice Question
A data scientist is training a model using SageMaker and wants to use spot instances to reduce costs. The training job is checkpointed every 5 minutes. However, the job gets interrupted frequently and never completes. What is the MOST likely cause?
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 checkpoint interval is too long relative to the interruption frequency
Spot instances can be reclaimed with little notice. If the job checkpoint interval is longer than the average interruption notice, progress may be lost. Using a smaller instance type reduces cost but not interruption frequency. Incorrect checkpoint path causes save failures. Too few max retries causes job to stop after few 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.
- ✓
The checkpoint interval is too long relative to the interruption frequency
Why this is correct
If interruptions occur more often than checkpoints, progress is lost and job may never complete.
- ✗
The checkpoint S3 URI is incorrect
Why it's wrong here
An incorrect URI would cause checkpoint save failures, not interruptions.
- ✗
The instance type is too small for the training job
Why it's wrong here
Instance size affects speed but not spot interruptions.
- ✗
The job is configured with too few max retries
Why it's wrong here
Max retries control how many times the job restarts, but if interruptions are very frequent, even many retries may not help.
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