The answer is to use a larger instance type, such as p3.8xlarge, because this directly increases the available memory for the training job, resolving the out-of-memory error without requiring code changes. In SageMaker, each instance type has a fixed memory allocation; when a model or dataset exceeds that limit, the training process fails. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this question tests your understanding of instance sizing trade-offs—a common trap is assuming code-level fixes like reducing batch size are faster, but that approach requires debugging and may still fail if the model itself is too large. The exam emphasizes that scaling vertically (choosing a bigger instance) is the quickest, most reliable fix for memory errors in SageMaker. Remember the memory tip: when you hit the memory ceiling, think “bigger box, not smaller batch.”
MLS-C01 Practice Question: Machine Learning Implementation and Operations
This MLS-C01 practice question tests your understanding of machine learning implementation and operations. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.
A data science team is using Amazon SageMaker to train a model. The training job is failing with an 'OutOfMemory' error. The team is using a p3.2xlarge instance with 61 GB of memory. They need to resolve this issue as quickly as possible. Which action should they take?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use a larger instance type, such as p3.8xlarge
Option A is correct because switching to a larger instance type with more memory will immediately resolve the out-of-memory error. Option B is wrong because reducing batch size may help but requires code changes and might still not be enough. Option C is wrong because using spot instances does not affect memory. Option D is wrong because using distributed training adds complexity and may not resolve memory issues on a single instance.
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.
✓
Use a larger instance type, such as p3.8xlarge
Why this is correct
Larger instance types have more memory and can handle the workload.
Related concept
Read the scenario before looking for a memorised answer.
✗
Reduce the batch size in the training script
Why it's wrong here
Reducing batch size may help but requires code changes and might not be enough.
✗
Use a spot instance to save costs
Why it's wrong here
Spot instances do not provide more memory.
✗
Enable distributed training across multiple instances
Why it's wrong here
Distributed training splits the model but does not increase memory per instance.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
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: Use a larger instance type, such as p3.8xlarge — Option A is correct because switching to a larger instance type with more memory will immediately resolve the out-of-memory error. Option B is wrong because reducing batch size may help but requires code changes and might still not be enough. Option C is wrong because using spot instances does not affect memory. Option D is wrong because using distributed training adds complexity and may not resolve memory issues on a single instance.
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.