MLS-C01 Practice Question: Machine Learning Implementation and Operations
A machine learning engineer needs to deploy a model that performs real-time inference with strict latency requirements of under 100 milliseconds. The model is a large ensemble of 10 deep learning models. Which SageMaker deployment strategy is MOST appropriate?
⚠ Common exam trap
The MLS-C01 exam often tests the misconception that multi-model endpoints are suitable for ensemble models, but they are designed for independent model hosting with dynamic loading, not for sequential inference pipelines.
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 a SageMaker Inference Pipeline with serial inference within a single endpoint.
A SageMaker Inference Pipeline allows you to chain multiple containers (e.g., the 10 deep learning models) within a single endpoint, enabling serial inference with low latency. This approach avoids the network overhead of routing between separate endpoints and keeps the entire ensemble under the 100 ms threshold by processing sequentially in one HTTPS request.
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 batch transform and cache predictions.
Why it's wrong here
Batch transform is for offline inference, not real-time.
- ✗
Deploy each model as a separate endpoint and route traffic using Application Load Balancer.
Why it's wrong here
Multiple endpoints add network latency and management overhead.
- ✓
Use a SageMaker Inference Pipeline with serial inference within a single endpoint.
Why this is correct
Inference Pipelines allow chaining containers in a single endpoint, reducing latency.
- ✗
Use a multi-model endpoint to host all models.
Why it's wrong here
Multi-model endpoints load models on demand, which adds latency.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.