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Deployment and Orchestration of ML WorkflowsmediumMultiple ChoiceObjective-mapped

MLA-C01 Deployment and Orchestration of ML Workflows Practice Question

A company wants to deploy 50 small models (each ~100 MB) for real-time inference. They need to minimize hosting costs while maintaining low latency. Which SageMaker hosting option is most cost-effective?

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

SageMaker Multi-Model Endpoint (MME)

Multi-Model Endpoint (MME) allows hosting multiple models on the same instance, sharing resources. Since the models are small, MME is cost-effective. Real-time endpoints would require separate instances. Serverless is for on-demand but may incur cold starts. Asynchronous is for batch-like 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.

  • SageMaker Serverless Inference

    Why it's wrong here

    Serverless can be cost-effective for variable traffic but may have cold starts and is not optimized for many small models.

  • SageMaker Asynchronous Inference

    Why it's wrong here

    Asynchronous is not for real-time inference.

  • SageMaker Multi-Model Endpoint (MME)

    Why this is correct

    MME allows multiple models to share a single instance, reducing cost.

  • SageMaker real-time endpoint with one instance per model

    Why it's wrong here

    This is not cost-effective for 50 small models.

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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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This MLA-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 MLA-C01 exam.