MLS-C01 Practice Question: Machine Learning Implementation and Operations
A machine learning engineer needs to store and version datasets for reproducibility. Which AWS service is designed for this purpose?
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
✓
SageMaker Feature Store
SageMaker Feature Store is designed to store, manage, and version features for machine learning, ensuring reproducibility. Option A (CodeCommit) is for version control of code. Option B (S3) is an object store not specialized for ML features. Option D (Redshift) is a data warehouse. Therefore, Option C is correct.
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 CodeCommit
Why it's wrong here
CodeCommit is for source code, not datasets.
- ✗
Amazon S3
Why it's wrong here
S3 can store data but lacks built-in versioning for features and point-in-time queries.
- ✓
SageMaker Feature Store
Why this is correct
Feature Store is designed for feature storage, versioning, and retrieval.
- ✗
Amazon Redshift
Why it's wrong here
Redshift is a data warehouse for analytics, not ML feature storage.
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.