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Containerized AI WorkloadseasyMultiple SelectObjective-mapped

AI-200 Containerized AI Workloads Practice Question

Your team is evaluating Azure Container Apps versus Azure Kubernetes Service (AKS) for hosting containerized AI workloads. Which TWO characteristics are advantages of Azure Container Apps over standard AKS? (Choose 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

Simplified container management without direct exposure or management of Kubernetes master nodes

Azure Container Apps provides simplified serverless management without exposing Kubernetes control plane complexity and offers native scale-to-zero capabilities.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Requirement to manage custom CNI overlay networking routing tables manually

    Why it's wrong here

    Networking is fully managed by the platform in Container Apps.

  • Simplified container management without direct exposure or management of Kubernetes master nodes

    Why this is correct

    Container Apps abstracts Kubernetes complexity, removing the need to manage control planes.

  • Mandatory manual configuration of KEDA controllers and Ingress controllers

    Why it's wrong here

    KEDA and Ingress are pre-configured natively in Container Apps, eliminating manual setup.

  • Built-in support for scaling automatically down to zero replicas when idle

    Why this is correct

    Container Apps natively supports scaling to zero instances to eliminate costs during idle periods.

  • Complete low-level administrative access to kernel modules and cluster root certificates

    Why it's wrong here

    Low-level kernel access is restricted in serverless Container Apps compared to dedicated AKS nodes.

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 and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed August 2026 · checked against the official Microsoft exam blueprint

This AI-200 practice question is part of Courseiva's free Microsoft 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 AI-200 exam.