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MLS-C01 Modeling Practice Question

Which TWO services can be used to serve machine learning models for real-time inference? (Select TWO.)

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

Amazon SageMaker provides real-time endpoints. AWS Lambda can be used with a custom container for inference. Amazon Rekognition is a specialized service for image analysis, not general model serving. Amazon Comprehend is NLP service. Amazon Athena is query service.

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 Rekognition

    Why it's wrong here

    Rekognition is a pre-built service for image/video, not generic model serving.

  • Amazon Athena

    Why it's wrong here

    Athena is for querying data in S3, not model serving.

  • Amazon SageMaker

    Why this is correct

    SageMaker endpoints are designed for real-time inference.

  • Amazon Comprehend

    Why it's wrong here

    Comprehend is a pre-built NLP service.

  • AWS Lambda

    Why this is correct

    Lambda can host inference code, often used with API Gateway for real-time.

Quick reference

Cloud Service Model Comparison

ModelYou ManageProvider ManagesExamples
IaaSOS, runtime, apps, dataHardware, hypervisor, networkingEC2, Azure VMs, GCP Compute Engine
PaaSApps and dataOS, runtime, middleware, hardwareElastic Beanstalk, Azure App Service
SaaSData and settings onlyEverything elseMicrosoft 365, Salesforce, Workday
FaaS / ServerlessFunction code onlyInfra, scaling, runtimeLambda, Azure Functions, Cloud Run
CaaSContainers and appsKubernetes, OS, hardwareEKS, AKS, GKE

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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.