- A
Enable S3 Transfer Acceleration on the bucket.
Why wrong: Transfer Acceleration improves long-distance uploads, not training data reads.
- B
Mount the S3 bucket using an S3 file system and use File mode with a larger instance type.
File mode with high-bandwidth instances can improve throughput.
- C
Use Amazon S3 VPC Gateway Endpoint to reduce data transfer costs and improve latency.
VPC endpoints improve network performance.
- D
Use Amazon EFS as the data source for training.
EFS provides high throughput for sequential reads.
- E
Use Amazon ElastiCache to cache the training data.
Why wrong: ElastiCache is not designed for large-scale training data.
Quick Answer
The answer is to use Amazon EFS as the data source for training, along with enabling an S3 VPC endpoint and switching to File mode on a larger instance. This combination directly addresses SageMaker data throughput improvement because EFS provides higher, more consistent I/O for sequential read patterns common in training, while an S3 VPC endpoint reduces network latency by keeping traffic within the AWS backbone, and File mode with a larger instance offers more network bandwidth to handle the data flow. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this scenario tests your understanding of how SageMaker’s Pipe mode can become a bottleneck with large datasets, as it streams data line-by-line and cannot leverage local storage caching. A common trap is assuming Pipe mode is always faster, but for throughput-heavy workloads, File mode’s full dataset download to the instance’s Amazon EBS volume often wins. Memory tip: think “EFS for sequential, File for fat pipes, VPC for speed.”
MLS-C01 Data Engineering Practice Question
This MLS-C01 practice question tests your understanding of data engineering. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 machine learning team is using Amazon SageMaker to train a model on a dataset stored in S3. The training job reads data from S3 using Pipe input mode, but the training is slow. The team wants to improve data throughput. Which THREE actions should they take?
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
Mount the S3 bucket using an S3 file system and use File mode with a larger instance type.
Using Amazon S3 with a VPC endpoint improves network performance. Using Amazon EFS as a data source can provide higher throughput for sequential access. Using SageMaker's File mode with a larger instance type with more network bandwidth can also improve throughput.
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.
- ✗
Enable S3 Transfer Acceleration on the bucket.
Why it's wrong here
Transfer Acceleration improves long-distance uploads, not training data reads.
- ✓
Mount the S3 bucket using an S3 file system and use File mode with a larger instance type.
Why this is correct
File mode with high-bandwidth instances can improve throughput.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Use Amazon S3 VPC Gateway Endpoint to reduce data transfer costs and improve latency.
Why this is correct
VPC endpoints improve network performance.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Use Amazon EFS as the data source for training.
Why this is correct
EFS provides high throughput for sequential reads.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use Amazon ElastiCache to cache the training data.
Why it's wrong here
ElastiCache is not designed for large-scale training data.
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.
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FAQ
Questions learners often ask
What does this MLS-C01 question test?
Data Engineering — This question tests Data Engineering — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Mount the S3 bucket using an S3 file system and use File mode with a larger instance type. — Using Amazon S3 with a VPC endpoint improves network performance. Using Amazon EFS as a data source can provide higher throughput for sequential access. Using SageMaker's File mode with a larger instance type with more network bandwidth can also improve throughput.
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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Last reviewed: Jun 20, 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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