Question 626 of 1,672
MLS-C01 Practice Question: Machine Learning Implementation and Operations
Which THREE factors should be considered when choosing an instance type for a SageMaker training job?
⚠ Common exam trap
Many exam-takers confuse training job requirements with inference endpoint requirements, incorrectly selecting endpoint latency (Option C) as a factor for training, when it only applies to SageMaker hosting endpoints.
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 number of vCPUs needed for parallel processing
The number of vCPUs directly determines the parallel processing capability of the training job. SageMaker training instances with more vCPUs can handle larger batch sizes and more concurrent data loading, which is critical for CPU-bound preprocessing or model training that does not rely on GPUs. Choosing an instance with insufficient vCPUs can lead to underutilization of other resources or excessive training time.
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 number of vCPUs needed for parallel processing
Why this is correct
More vCPUs can speed up training.
- ✓
The memory requirements of the model
Why this is correct
Memory must be sufficient to hold model and data.
- ✗
The endpoint latency requirement
Why it's wrong here
Endpoint latency is for serving, not training.
- ✗
The AWS region where the instance is launched
Why it's wrong here
All instances are available in most regions; not a factor.
- ✓
The GPU requirements for model training
Why this is correct
GPU is essential for deep learning training.
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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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