Question 913 of 1,672
MLS-C01 Practice Question: Machine Learning Implementation and Operations
A machine learning team is deploying a model using Amazon SageMaker. The model inference code runs on GPUs and requires a custom container. The team wants to minimize cold start latency. Which SageMaker hosting option should they use?
⚠ Common exam trap
Watch out — candidates often confuse 'minimizing cold start latency' with 'scalability' or 'cost optimization,' leading them to choose serverless (Option B) or multi-model (Option A) options, which actually increase cold start latency due to their on-demand scaling behavior.
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 real-time endpoint with a single production variant using a GPU instance.
A real-time endpoint with a single production variant using a GPU instance provides a persistent, always-on inference environment. This eliminates cold start latency entirely, as the container and GPU resources are pre-warmed and ready to serve requests immediately, which is critical for minimizing latency in GPU-based custom containers.
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 a multi-model endpoint with GPU instances.
Why it's wrong here
Multi-model endpoints do not support GPU instances.
- ✗
Use a serverless inference endpoint.
Why it's wrong here
Serverless inference does not support GPU instances.
- ✗
Use a real-time endpoint with multiple production variants for redundancy.
Why it's wrong here
Multiple variants add complexity and do not directly address cold start latency.
- ✓
Use a real-time endpoint with a single production variant using a GPU instance.
Why this is correct
Real-time endpoints with GPU instances minimize cold start latency for custom containers.
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Last reviewed: Jul 4, 2026
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.
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