MLS-C01 Practice Question: Machine Learning Implementation and Operations
A team is training a large language model using PyTorch on multiple GPUs. The training is taking too long due to inefficient data loading. Which AWS service can help accelerate data loading by caching data close to the GPU instances?
⚠ Common exam trap
Many exam-takers confuse 'caching data close to compute' with general-purpose CDN or acceleration services, failing to recognize that Amazon FSx for Lustre is the only option designed for high-throughput, low-latency file system access in a GPU cluster environment on AWS.
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
✓
Amazon FSx for Lustre
Amazon FSx for Lustre is a high-performance file system optimized for machine learning workloads. It provides sub-millisecond latencies and high throughput by caching training data on local NVMe SSDs attached to the Lustre servers, which are co-located with GPU instances in the same AWS Availability Zone. This eliminates the I/O bottleneck from remote object storage, directly accelerating data loading for PyTorch DataLoader workers.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Amazon FSx for Lustre
Why this is correct
High-performance file system with sub-millisecond latency.
- ✗
Amazon EBS Snapshots for fast restore
Why it's wrong here
Snapshots are for backup, not caching.
- ✗
Amazon S3 Transfer Acceleration
Why it's wrong here
Accelerates uploads to S3, not data loading to GPU.
- ✗
Amazon CloudFront
Why it's wrong here
Content delivery network, not for ML data loading.
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 |
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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.