Question 1,180 of 1,672
MLS-C01 Practice Question: Machine Learning Implementation and Operations
A data scientist needs to version control datasets used for machine learning experiments. Which AWS service should the data scientist use?
⚠ Common exam trap
Watch out — candidates often confuse services designed for model management (Model Registry) or feature management (Feature Store) with the fundamental storage versioning capability of S3, which is the simplest and most direct answer for dataset version control.
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 S3 with versioning enabled
Amazon S3 with versioning enabled is the correct choice because it provides a simple, scalable, and cost-effective way to version control datasets. S3 versioning preserves every object version, allowing you to retrieve, restore, or compare previous dataset states, which is essential for reproducibility in ML experiments. This directly meets the requirement for dataset version control without additional overhead.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
AWS Lake Formation
Why it's wrong here
Lake Formation manages data lakes, not versioning.
- ✗
Amazon SageMaker Feature Store
Why it's wrong here
Feature Store stores features, not dataset versions.
- ✗
Amazon SageMaker Model Registry
Why it's wrong here
Model Registry versions models, not datasets.
- ✓
Amazon S3 with versioning enabled
Why this is correct
S3 versioning provides dataset version control.
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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Last reviewed: Jul 4, 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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