MLS-C01 Modeling Practice Question
A company wants to deploy a machine learning model that provides real-time inference with low latency. The model is a small ensemble of three tree-based models. Which Amazon SageMaker approach is most appropriate?
⚠ Common exam trap
Watch out — candidates often confuse 'real-time inference' with 'serverless' or 'batch processing,' assuming that serverless or Lambda are always cheaper or simpler, but they fail to account for cold-start latency and execution limits that break low-latency requirements.
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 real-time endpoint with a single inference container.
A SageMaker real-time endpoint with a single inference container is the most appropriate approach because it provides persistent, low-latency inference by keeping the model loaded in memory and handling requests synchronously. For a small ensemble of three tree-based models, a single container can host all models (e.g., using a custom inference script or a multi-model endpoint) and deliver sub-second response times, meeting the real-time requirement.
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 SageMaker real-time endpoint with a single inference container.
Why this is correct
Real-time endpoints provide low-latency inference.
- ✗
Use a SageMaker batch transform job.
Why it's wrong here
Batch transform is for asynchronous, large-scale predictions, not real-time.
- ✗
Use AWS Lambda with the model packaged in a layer.
Why it's wrong here
Lambda has limited memory and runtime, and is not optimal for model inference.
- ✗
Use a SageMaker Serverless Inference endpoint.
Why it's wrong here
Serverless has cold starts that increase latency.
Go deeper
Related to this question
About these practice questions
One of 1,672 original MLS-C01 practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. 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.