AZ-900 Describe Azure architecture and services Practice Question
Which Azure service provides a way to deploy and manage Azure services at the edge, close to IoT devices and end users?
⚠ Common exam trap
Many candidates confuse Azure IoT Edge (which runs services on edge devices) with Azure IoT Hub (which is a cloud-based messaging service), leading candidates to pick IoT Hub because they think it 'manages' IoT devices, but it does not deploy or run services at the edge.
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 IoT Edge
Azure IoT Edge is correct because it extends cloud intelligence to edge devices, allowing you to deploy and manage Azure services (like Azure Functions, Stream Analytics, and custom modules) directly on IoT devices or gateways. This enables local data processing and decision-making close to IoT sensors and end users, reducing latency and bandwidth usage.
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 IoT Hub
Why it's wrong here
Azure IoT Hub is a cloud-side messaging and control service responsible for connecting devices, collecting telemetry, and sending commands back from the cloud. It does not provide a local runtime that deploys and executes Azure workloads such as AI models or Stream Analytics on edge hardware. IoT Hub acts as the cloud control plane; the IoT Edge runtime is what actually runs those workloads on the device itself.
- ✓
Azure IoT Edge
Why this is correct
Azure IoT Edge is the correct service because it provides a software runtime that packages Azure workloads — such as machine learning models, Azure Stream Analytics, and custom code — as containerized modules executed locally on IoT devices. The runtime keeps workloads running even when connectivity to the cloud is lost, and it allows modules to be deployed and updated from the cloud. This direct local execution of Azure services is exactly what the scenario describes.
- ✗
Azure Stack Edge
Why it's wrong here
Azure Stack Edge is a physical hardware appliance (a ruggedized server) that provides compute, storage, and AI acceleration at the edge. While it can host the IoT Edge runtime and run Azure workloads, it is a specific hardware offering, not the software platform that inherently extends Azure workloads to any IoT edge device. The question is asking for the generic software service that runs those workloads, which is Azure IoT Edge.
- ✗
Azure Arc for IoT
Why it's wrong here
Azure Arc for IoT is not the right answer because Azure Arc is primarily a management plane for bringing existing non-Azure and multi-cloud resources (servers, Kubernetes clusters, data services) under Azure governance. Azure Arc can help manage edge infrastructure, including some IoT-adjacent scenarios, but it does not itself deploy and run Azure AI models or analytics modules on IoT devices. IoT Edge is the purpose-built runtime for that IoT module deployment.
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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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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