- A
Amazon DynamoDB
Why wrong: Database, not for file storage.
- B
Amazon Simple Storage Service (S3)
S3 supports versioning and is commonly used for ML artifacts.
- C
Amazon Elastic File System (EFS)
Why wrong: File storage, but not optimized for large-scale ML.
- D
Amazon Elastic Block Store (EBS)
Why wrong: Not designed for multi-access or versioning.
Question 458 of 1,755
MLS-C01 Practice Question: Machine Learning Implementation and Operations
This MLS-C01 practice question tests your understanding of machine learning implementation and operations. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
An ML engineer needs to store and version training datasets and model artifacts. Which AWS service should they use?
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 Simple Storage Service (S3)
Amazon S3 is the correct choice because it provides scalable, durable, and cost-effective object storage with built-in versioning capabilities, making it ideal for storing and versioning large training datasets and model artifacts. S3's versioning feature allows you to preserve, retrieve, and restore every version of an object, which is essential for reproducibility in ML workflows.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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 DynamoDB
Why it's wrong here
Database, not for file storage.
- ✓
Amazon Simple Storage Service (S3)
Why this is correct
S3 supports versioning and is commonly used for ML artifacts.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon Elastic File System (EFS)
Why it's wrong here
File storage, but not optimized for large-scale ML.
- ✗
Amazon Elastic Block Store (EBS)
Why it's wrong here
Not designed for multi-access or versioning.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse storage services for ML artifacts with database or file system services, mistakenly choosing DynamoDB for its versioning-like features (e.g., DynamoDB Streams) or EFS for its shared file system access, without recognizing that S3 is the only service that offers native, durable object versioning at scale for ML use cases.
Detailed technical explanation
How to think about this question
S3 versioning works by assigning a unique version ID to each object upload; when you overwrite an object, S3 retains the previous version as a non-current version, allowing you to restore it at any time. This is critical for ML pipelines where model training may need to be reproduced with the exact same dataset version, and S3's lifecycle policies can automatically transition older versions to cheaper storage tiers like S3 Glacier for cost optimization. Additionally, S3's strong read-after-write consistency for PUTS of new objects ensures that once a dataset version is uploaded, it is immediately available for training jobs.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
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 |
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this MLS-C01 question test?
Machine Learning Implementation and Operations — This question tests Machine Learning Implementation and Operations — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Amazon Simple Storage Service (S3) — Amazon S3 is the correct choice because it provides scalable, durable, and cost-effective object storage with built-in versioning capabilities, making it ideal for storing and versioning large training datasets and model artifacts. S3's versioning feature allows you to preserve, retrieve, and restore every version of an object, which is essential for reproducibility in ML workflows.
What should I do if I get this MLS-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jul 4, 2026
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