- A
SageMaker Elastic Inference
Why wrong: Elastic Inference accelerates inference but does not host multiple models.
- B
SageMaker inference pipeline
Why wrong: Inference pipeline is for preprocessing and prediction in sequence.
- C
SageMaker batch transform
Why wrong: Batch transform is for offline processing, not real-time.
- D
SageMaker multi-container endpoints
Why wrong: Multi-container is for serving multiple containers per endpoint, not multiple models.
- E
SageMaker Multi-Model Endpoints
Multi-Model Endpoints host multiple models on the same endpoint.
Question 915 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. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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.
A company wants to use SageMaker to host multiple models behind a single endpoint to reduce costs. Which SageMaker feature 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
✓
SageMaker Multi-Model Endpoints
SageMaker Multi-Model Endpoints allow you to deploy multiple models behind a single endpoint, each loaded dynamically from Amazon S3 based on the inference request. This reduces hosting costs by sharing a single instance across many models, as only the models that are actively invoked consume memory. The correct answer is E because this feature is specifically designed for cost-efficient multi-model hosting.
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.
- ✗
SageMaker Elastic Inference
Why it's wrong here
Elastic Inference accelerates inference but does not host multiple models.
- ✗
SageMaker inference pipeline
Why it's wrong here
Inference pipeline is for preprocessing and prediction in sequence.
- ✗
SageMaker batch transform
Why it's wrong here
Batch transform is for offline processing, not real-time.
- ✗
SageMaker multi-container endpoints
Why it's wrong here
Multi-container is for serving multiple containers per endpoint, not multiple models.
- ✓
SageMaker Multi-Model Endpoints
Why this is correct
Multi-Model Endpoints host multiple models on the same endpoint.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is confusing SageMaker Multi-Model Endpoints with multi-container endpoints, but multi-container endpoints run multiple containers per instance for a single pipeline, not independently serving different models on demand.
Detailed technical explanation
How to think about this question
Under the hood, SageMaker Multi-Model Endpoints use a model cache on the instance's local storage (SSD or EBS) and load models from S3 on demand via the InvokeEndpoint API with a TargetModel parameter. If the cache is full, the least recently used (LRU) model is evicted, which can cause cold-start latency for infrequently accessed models. A real-world scenario is a SaaS platform offering different ML models per tenant, where each tenant's model is loaded only when that tenant makes a request, significantly reducing cost compared to dedicated endpoints.
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.
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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: SageMaker Multi-Model Endpoints — SageMaker Multi-Model Endpoints allow you to deploy multiple models behind a single endpoint, each loaded dynamically from Amazon S3 based on the inference request. This reduces hosting costs by sharing a single instance across many models, as only the models that are actively invoked consume memory. The correct answer is E because this feature is specifically designed for cost-efficient multi-model hosting.
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.
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Last reviewed: Jul 4, 2026
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