The answer is to use Pipe mode or Fast File mode with a large batch size that fits in GPU memory. This configuration maximizes GPU utilization by eliminating I/O bottlenecks, ensuring the data pipeline continuously feeds the GPUs without idle time. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this question tests your understanding of SageMaker’s data loading modes and their impact on training efficiency—a common trap is choosing File mode with a small batch size, which underutilizes the GPU, or selecting a single GPU instance, which wastes the parallel processing power of an ml.p3.16xlarge. To maximize GPU utilization in SageMaker training, remember that the goal is to keep the GPUs busy, not the CPU. A helpful memory tip: “Pipe it fast, batch it big, keep the GPU on the gig.”
MLS-C01 Modeling Practice Question
This MLS-C01 practice question tests your understanding of modeling. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 company is using SageMaker to train a deep learning model with TensorFlow. The training job is running on an ml.p3.16xlarge instance. The data scientist wants to maximize GPU utilization. Which configuration should be used?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use Pipe mode or Fast File mode with a large batch size that fits in GPU memory.
SageMaker's Pipe mode and fast file mode reduce I/O bottlenecks. For GPU utilization, the data pipeline must keep GPUs busy. Option A (File mode with small batch) may underutilize GPU. Option B (single GPU) wastes resources. Option D (using CPU instance) is counterproductive.
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 single GPU and increase the number of epochs.
Why it's wrong here
Single GPU does not utilize multiple GPUs on the instance.
✗
Use a CPU-only instance for training and then deploy on GPU.
Why it's wrong here
Training on CPU would be slow; goal is to maximize GPU utilization.
✗
Use File mode input and a small batch size.
Why it's wrong here
Small batch size underutilizes GPU; file mode may have I/O delays.
✓
Use Pipe mode or Fast File mode with a large batch size that fits in GPU memory.
Why this is correct
Pipe mode streams data efficiently; large batch size maximizes GPU compute.
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.
Modeling — This question tests Modeling — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use Pipe mode or Fast File mode with a large batch size that fits in GPU memory. — SageMaker's Pipe mode and fast file mode reduce I/O bottlenecks. For GPU utilization, the data pipeline must keep GPUs busy. Option A (File mode with small batch) may underutilize GPU. Option B (single GPU) wastes resources. Option D (using CPU instance) is counterproductive.
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
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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
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