MLS-C01 Practice Question: Machine Learning Implementation and Operations
A data scientist wants to deploy a PyTorch model for real-time inference with low latency. Which AWS service should they use?
⚠ Common exam trap
Candidates often confuse batch transform (asynchronous, offline) with real-time endpoints (synchronous, low-latency), or assume that any container service like ECS is sufficient without considering the specialized model hosting and scaling capabilities of SageMaker endpoints.
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
✓
Amazon SageMaker real-time endpoint
Amazon SageMaker real-time endpoints are specifically designed for low-latency inference on deployed models, including PyTorch models. They provide persistent HTTPS endpoints that autoscale and support custom containers, making them ideal for real-time prediction workloads.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Amazon Elastic Container Service (ECS)
Why it's wrong here
Amazon ECS manages Docker containers but lacks native, optimised PyTorch model serving with sub-millisecond latency; it would require additional tooling like TorchServe or custom inference handlers, adding overhead that undermines the real-time requirement. It is tempting because ECS excels at orchestrating containerised microservices for scalable batch or near-real-time workloads, making it a correct choice when deploying a general-purpose web application or API that does not demand specialised ML inference optimisation.
- ✗
Amazon SageMaker batch transform
Why it's wrong here
Batch transform is for offline, not real-time.
- ✓
Amazon SageMaker real-time endpoint
Why this is correct
Designed for low-latency inference.
- ✗
AWS Lambda
Why it's wrong here
Lambda has timeout and cold start issues.
Go deeper
Related to this question
About these practice questions
Courseiva writes every MLS-C01 question from scratch — 1,672 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
JA
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.