MLS-C01 Modeling Practice Question
A machine learning team is deploying a model that performs real-time inference on streaming data from Amazon Kinesis Data Streams. The model requires sub-100ms latency. Which deployment option should the team choose?
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
✓
Deploy the model on an Amazon SageMaker real-time endpoint
Amazon SageMaker real-time endpoints provide low-latency inference suitable for sub-100ms requirements. SageMaker batch transform (Option A) is for offline predictions. SageMaker asynchronous inference (Option B) is for near-real-time with longer latencies. AWS Lambda (Option D) may not meet sub-100ms consistently due to cold starts and limited compute. Therefore, Option C is correct.
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 Amazon SageMaker batch transform
Why it's wrong here
Batch transform is for offline predictions.
- ✗
Use Amazon SageMaker asynchronous inference
Why it's wrong here
Asynchronous inference has higher latency.
- ✓
Deploy the model on an Amazon SageMaker real-time endpoint
Why this is correct
Real-time endpoints provide low-latency inference.
- ✗
Deploy a custom inference container on AWS Lambda
Why it's wrong here
Lambda may have cold start issues affecting latency.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
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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.