MLS-C01 Practice Question: Machine Learning Implementation and Operations
Which TWO of the following are valid configurations for SageMaker Training Job resource limits? (Select TWO.)
⚠ Common exam trap
Watch out — candidates often confuse 'maximum run time' with 'maximum wait time' (a non-existent parameter) or assume that SageMaker supports minimum instance counts or separate spot instance limits, which are not part of the resource limit configuration.
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
✓
Maximum number of instances
SageMaker Training Jobs allow you to set a resource limit on the maximum number of instances that can be used for distributed training, which helps control costs and prevent accidental over-provisioning. Option C is correct because you can specify a maximum run time in seconds for a training job; if the job exceeds this limit, SageMaker automatically stops it, ensuring you don't incur unexpected charges.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Maximum number of instances
Why this is correct
You can limit the number of instances used by the training job.
- ✗
Maximum wait time in seconds
Why it's wrong here
There is no wait time limit; jobs start as soon as resources are available.
- ✓
Maximum run time in seconds
Why this is correct
You can set a maximum run time to stop the job if it runs too long.
- ✗
Minimum number of instances
Why it's wrong here
There is no minimum instance limit; you can use 1 instance.
- ✗
Maximum number of spot instances
Why it's wrong here
Spot instance limit is set per instance type, not per training job.
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