The answer is to combine the small files into larger files (e.g., 100 MB) using a preprocessing step. This strategy directly resolves S3 throttling errors in SageMaker training because S3 throttling occurs when the request rate per prefix is exceeded, and thousands of 100 KB files generate a high volume of GET requests. By consolidating them into fewer, larger objects, you drastically reduce the number of API calls, staying within S3’s performance limits. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this question tests your understanding of S3 request rates and data access patterns for distributed training—a common trap is assuming more instances or faster transfer (like S3 Transfer Acceleration) will help, but both increase parallelism or speed without reducing request count. Remember the memory tip: “Fewer files, fewer fails”—always optimize file size over instance count for throttling issues.
MLS-C01 Data Engineering Practice Question
This MLS-C01 practice question tests your understanding of data engineering. 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 company is running a machine learning training job on Amazon SageMaker that reads training data from an S3 bucket. The job fails intermittently with an S3 throttling error. The data is partitioned across thousands of small files (average 100 KB). Which strategy is MOST effective to resolve the throttling issue?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Combine the small files into larger files (e.g., 100 MB) using a preprocessing step
Combining small files into larger files reduces the number of S3 GET requests, which reduces the chance of throttling. Increasing the number of instances (option A) would increase parallelism and could worsen throttling. Using S3 Transfer Acceleration (option B) improves transfer speed but does not reduce request rate. Using Athena (option D) is for querying, not for training data access.
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 Amazon Athena to query the data and output results to a new S3 location
Why it's wrong here
Athena is for querying, not for preparing training data efficiently.
✗
Enable S3 Transfer Acceleration on the bucket
Why it's wrong here
Transfer Acceleration improves speed but does not reduce the number of requests.
✓
Combine the small files into larger files (e.g., 100 MB) using a preprocessing step
Why this is correct
Larger files reduce the number of GET requests, mitigating throttling.
Related concept
Read the scenario before looking for a memorised answer.
✗
Increase the number of SageMaker training instances to distribute the load
Why it's wrong here
More instances increase concurrent requests, potentially worsening throttling.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
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.
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: Combine the small files into larger files (e.g., 100 MB) using a preprocessing step — Combining small files into larger files reduces the number of S3 GET requests, which reduces the chance of throttling. Increasing the number of instances (option A) would increase parallelism and could worsen throttling. Using S3 Transfer Acceleration (option B) improves transfer speed but does not reduce request rate. Using Athena (option D) is for querying, not for training data access.
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.
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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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