- A
The number of vCPUs needed for parallel processing
More vCPUs can speed up training.
- B
The memory requirements of the model
Memory must be sufficient to hold model and data.
- C
The endpoint latency requirement
Why wrong: Endpoint latency is for serving, not training.
- D
The AWS region where the instance is launched
Why wrong: All instances are available in most regions; not a factor.
- E
The GPU requirements for model training
GPU is essential for deep learning training.
Question 626 of 1,755
MLS-C01 Practice Question: Machine Learning Implementation and Operations
This MLS-C01 practice question tests your understanding of machine learning implementation and operations. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Which THREE factors should be considered when choosing an instance type for a SageMaker training job?
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
Option A is correct because 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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
The memory requirements of the model
Why this is correct
Memory must be sufficient to hold model and data.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
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.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates 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.
Detailed technical explanation
How to think about this question
Under the hood, SageMaker training instances are launched as managed EC2 instances, and the instance type determines the underlying hardware (e.g., Intel Xeon vCPUs, NVIDIA GPUs, and memory bandwidth). For example, a p3.2xlarge instance provides 1 NVIDIA V100 GPU with 16 GB of GPU memory, while a c5.4xlarge offers 16 vCPUs and 32 GB of RAM, making the choice dependent on whether the training algorithm is GPU-accelerated (e.g., deep learning with TensorFlow) or CPU-bound (e.g., XGBoost). A real-world scenario: training a large language model requires high GPU memory (e.g., p4d instances with 40 GB A100 GPUs), whereas a random forest model on tabular data may only need high vCPU count and RAM.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this MLS-C01 question test?
Machine Learning Implementation and Operations — This question tests Machine Learning Implementation and Operations — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The number of vCPUs needed for parallel processing — Option A is correct because 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.
What should I do if I get this MLS-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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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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