MLA-C01 Deployment and Orchestration of ML Workflows Practice Question
A startup wants to deploy a containerized ML application that includes both a model inference server and a preprocessing component in the same endpoint. Which SageMaker endpoint type supports running multiple containers?
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
✓
Multi-container endpoint
Multi-container endpoints allow running multiple containers, enabling preprocessing and inference in the same endpoint.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Asynchronous Inference
Why it's wrong here
Asynchronous endpoints also host a single container.
- ✓
Multi-container endpoint
Why this is correct
Supports multiple containers sharing the same instance, e.g., preprocessing and inference.
- ✗
Multi-model endpoint
Why it's wrong here
MME hosts multiple models but still a single container per model.
- ✗
Real-time endpoint
Why it's wrong here
Standard real-time endpoints host only one container per instance.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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