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MLA-C01 Practice Question: Deploying multiple models on a single endpoint to…
A company is deploying multiple models on a single endpoint to reduce costs. They need to update one model without affecting others. Which solution?
⚠ Common exam trap
AWS often tests the distinction between multi-model endpoints (for hosting many models on one endpoint) and production variants (for routing traffic between versions of the same model), leading candidates to incorrectly choose option D when they need to update one model independently.
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 SageMaker Multi-Model Endpoint
SageMaker Multi-Model Endpoint (MME) allows hosting multiple models on a single endpoint, sharing the underlying compute instance. When you need to update one model, you can simply upload a new model artifact (e.g., a new `model.tar.gz`) to Amazon S3, and the endpoint will automatically load the updated version on subsequent inference requests without affecting the other models currently cached or in use.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use multiple single-model endpoints behind an Application Load Balancer
Why it's wrong here
This increases cost and complexity; not the most efficient.
- ✗
Use SageMaker Batch Transform for some models
Why it's wrong here
Batch Transform is for batch predictions, not real-time inference.
- ✓
Use SageMaker Multi-Model Endpoint
Why this is correct
Multi-model endpoints host multiple models and allow updating one model independently.
- ✗
Use a SageMaker Endpoint with multiple production variants
Why it's wrong here
Production variants are for A/B testing, not for hosting multiple models separately.
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 MLA-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 MLA-C01 exam.