The answer is GPU requirements, along with memory and compute capacity, and network throughput. These three factors directly determine whether a SageMaker training instance can handle your model’s architecture, dataset size, and distributed training needs. GPU requirements are critical for deep learning workloads, as many algorithms rely on parallel processing, while memory and compute capacity ensure the instance can load the entire dataset and perform forward/backward passes efficiently. Network throughput becomes essential when using multiple instances for distributed training, as data transfer speed between nodes can become a bottleneck. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this question tests your ability to distinguish between training-specific instance selection and unrelated operational choices—a common trap is confusing endpoint serving instances with training instances. Remember that region availability and endpoint configuration are irrelevant here; focus solely on the training job’s resource demands. A useful memory tip is “GPU, RAM, and LAN”—think graphics, memory, and network for training instance selection.
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 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
Options B, C, and E are correct. Option A is wrong because it's not a factor; you can use any region. Option D is wrong because endpoints are for serving, not training.
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
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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 MLS-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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 — Options B, C, and E are correct. Option A is wrong because it's not a factor; you can use any region. Option D is wrong because endpoints are for serving, not training.
What should I do if I get this MLS-C01 question wrong?
Identify which MLS-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.