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AZ-204 Implement Azure security Practice Question

Match each Azure compute service to its execution model.

Drag a concept onto its matching description — or click a concept then click the description.

Concepts
Matches

IaaS with full OS control

PaaS for web and API apps

Serverless event-driven compute

Managed job scheduling for parallel workloads

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

Azure Functions: Serverless, event-driven compute that runs code in response to triggers

Azure compute services offer different execution models: Azure Functions (serverless, event-driven), Azure Logic Apps (serverless workflow), Azure Kubernetes Service (container orchestration). Common confusions involve associating serverless with containers or PaaS with orchestration.

Answer analysis

Option-by-option breakdown

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

  • Azure Functions: Serverless, event-driven compute that runs code in response to triggers

    Why this is correct

    Azure Functions provides a serverless execution model where developers can run small pieces of code, called "functions," in response to various events or triggers without managing the underlying infrastructure. It automatically scales out or in based on demand, and users only pay for the compute resources consumed during execution. This event-driven nature makes it ideal for tasks like processing messages, reacting to database changes, or executing scheduled jobs.

  • Azure Logic Apps: Serverless, workflow automation using pre-built connectors and triggers

    Why this is correct

    Azure Logic Apps offers a serverless platform for building automated workflows and integrating disparate systems using a visual designer. It leverages a vast collection of pre-built connectors to interact with hundreds of services, both within Azure and externally, orchestrating complex business processes in response to defined triggers. This service focuses on low-code/no-code integration and automation, abstracting away underlying infrastructure management.

  • Azure Kubernetes Service: Container orchestration for managing and scaling clusters of containerized applications

    Why this is correct

    Azure Kubernetes Service (AKS) is a managed container orchestration service that simplifies the deployment, management, and scaling of containerized applications using Kubernetes. It handles the operational overhead of running Kubernetes clusters, such as health monitoring and maintenance, allowing developers to focus on their applications. AKS provides a robust platform for microservices architectures, enabling efficient resource utilization and high availability for container workloads.

  • Azure Container Instances: Serverless, event-driven compute that runs code in response to triggers

    Why it's wrong here

    This description is incorrect for Azure Container Instances (ACI). While ACI provides a serverless way to run individual containers quickly without managing virtual machines or orchestration, it is not inherently event-driven in the same manner as Azure Functions. ACI instances typically run a specified container image to completion or continuously, rather than executing code snippets in direct response to specific external triggers.

  • Azure App Service: Container orchestration for managing and scaling clusters of containerized applications

    Why it's wrong here

    This statement incorrectly describes Azure App Service. Azure App Service is a Platform-as-a-Service (PaaS) offering designed for hosting web applications, REST APIs, and mobile backends, supporting various languages and deployment methods, including containers. However, it is not a container orchestration service for managing clusters of containers; that functionality is provided by services like Azure Kubernetes Service. App Service focuses on simplifying web application deployment and scaling.

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 AZ-204 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 AZ-204 exam.