MLS-C01 Practice Question: Machine Learning Implementation and Operations
A data scientist wants to use Amazon SageMaker to train a deep learning model on a large dataset stored in S3. The training job is expected to take several hours. Which storage option should be used to minimize data loading time and cost?
⚠ Common exam trap
Many candidates confuse File mode (which copies data to local disk) with Pipe mode (which streams data), assuming that copying to local storage is always faster or more reliable, but for large datasets, streaming avoids the upfront download time and reduces cost by not requiring additional storage volumes.
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
✓
Use Pipe mode to stream data directly from S3 during training
Pipe mode is the correct choice because it streams data directly from S3 into the training algorithm without writing to disk, eliminating the time and cost of copying large datasets to the instance's local storage. This minimizes data loading time (streaming starts immediately) and cost (no EBS volume or additional storage charges), making it ideal for large datasets that take hours to train.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Attach an Amazon EBS volume with the dataset pre-loaded
Why it's wrong here
EBS volumes are not automatically attached to SageMaker training instances; requires manual setup.
- ✗
Use File mode to copy data to the training instance's local storage
Why it's wrong here
File mode downloads data fully, which is slower and more expensive for large datasets.
- ✓
Use Pipe mode to stream data directly from S3 during training
Why this is correct
Pipe mode streams data on the fly, reducing startup time and cost.
- ✗
Mount an Amazon EFS file system to the training instance
Why it's wrong here
EFS adds latency and cost; not optimal for one-time training.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
Go deeper
Related to this question
About these practice questions
One of 1,672 original MLS-C01 practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.