Question 1,032 of 1,672
MLS-C01 Practice Question: Machine Learning Implementation and Operations
A machine learning engineer is deploying a model that was trained on a large dataset stored in Amazon S3. The model needs to be retrained daily with new data. Which approach is the MOST cost-effective for storing the training data while allowing quick access for retraining?
⚠ Common exam trap
Candidates often choose S3 Standard assuming daily access justifies it, but they overlook that Intelligent-Tiering provides the same low-latency access for frequently used data while automatically reducing costs for data that becomes less active over time.
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 S3 Intelligent-Tiering
S3 Intelligent-Tiering is the most cost-effective choice because it automatically moves data between access tiers (frequent, infrequent, and archive instant access) based on changing access patterns. Since the model is retrained daily, the training data will be accessed frequently during retraining but may have low access at other times, and Intelligent-Tiering optimizes storage costs without performance impact by charging a small monitoring fee per object.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Store all data in S3 Standard
Why it's wrong here
S3 Standard is more expensive for data that is accessed infrequently.
- ✗
Use S3 Glacier Deep Archive
Why it's wrong here
Glacier Deep Archive is for long-term archival, not for daily retraining.
- ✓
Use S3 Intelligent-Tiering
Why this is correct
Intelligent-Tiering automatically optimizes costs for data with changing access patterns.
- ✗
Use S3 One Zone-IA
Why it's wrong here
One Zone-IA is cheaper but less durable and not optimal for frequent access.
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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