AZ-220 Microsoft Azure IoT Developer Practice Exams : 2024

Looking to develop your skills as an Azure IoT Developer? This practice test is designed to help you master the AZ-220 certification exam by testing your knowledge of key IoT concepts, infrastructure set up, device provisioning, and solution implementation strategies.

Throughout the practice test, you’ll be guided through questions related to provisioning and managing devices in Azure IoT Hub, implementing IoT Edge, integrating IoT with business processes, processing and managing data, monitoring and troubleshooting IoT solutions, and implementing security protocols.

By the end of the practice test, you’ll have gained practical experience solving real-world Azure IoT scenarios and developed the skills needed to pass the AZ-220 certification exam. Whether you’re seeking certification or developing your Azure IoT knowledge for personal or professional growth, this practice test will help you take your skills to the next level.

Skills measured on Microsoft Azure Exam AZ-220: Microsoft Azure IoT Developer

• Set up the Azure IoT Hub solution infrastructure (15–20%)

• Provision and manage devices (15–20%)

• Implement IoT Edge (20–25%)

• Implement business integration (5–10%)

• Process and manage data (10–15%)

• Monitor, troubleshoot, and optimize IoT solutions (10–15%)

• Implement security (10–15%)

Set up the Azure IoT Hub solution infrastructure (15–20%)

Create and configure an IoT hub

• Create an IoT hub

• Register a device

• Configure a device twin

• Configure IoT Hub tier and scaling

Build device messaging and communication

• Build messaging solutions by using SDKs (device and service)

• Implement device-to-cloud communication

• Implement cloud-to-device communication

• Configure file upload for devices

• Optimize message size and scaling for IoT Hub

• Connect to IoT Hub by using Transport Layer Security (TLS) server certificates

Configure physical IoT devices

• Recommend an appropriate protocol or gateway based on device specifications

• Configure device networking, topology, and connectivity • Add IoT Plug and Play capabilities to a device in a model-driven solution

Provision and manage devices (15–20%)

Set up the device provisioning service

• Create a device provisioning service

• Create a new enrolment in the device provisioning service

• Link an IoT hub to the device provisioning service

Manage the device lifecycle

• Provision a device by using the device provisioning service

• Deprovision an auto-enrolment

• Decommission (disenrol) a device

Manage IoT devices by using IoT Hub

• Manage devices list in the IoT Hub device registry

• Modify device twin tags and properties

• Specify a set of devices to manage by using IoT Hub Automatic Device Management

• Implement and manage configuration on a set of devices by using IoT Hub Automatic Device Management

• Control access to device functionality by using module identities and module twins

Manage IoT devices by using Azure IoT Central

• Create and manage device templates by using Azure IoT Central and Digital Twins Definition Language (DTDL)

• Configure rules, actions, and commands in Azure IoT Central

• Add, enroll, and manage devices by using Azure IoT Central

• Manage Azure IoT Central applications, including security, tenants, customization, and visualizations

• Manage data integration, including data ingress, data export, and data transformation

• Configure and manage Azure IoT Central jobs

• Manage Azure IoT Central by using APIs

Implement IoT Edge (20–25%)

Set up an IoT Edge device

• Create a device identity in IoT Hub

• Set up an IoT device for IoT Edge

• Install container runtime on IoT devices

• Configure container startup options to interact with the host system

• Update IoT Edge runtime

• Provision IoT Edge devices by using the device provisioning service

Deploy an IoT Edge device

• Create and implement a deployment manifest

• Create a deployment for a single IoT Edge device

• Create a deployment to target multiple devices

• Create a continuous deployment by using Azure DevOps

Develop IoT Edge modules

• Create and customize an IoT Edge module

• Deploy a custom IoT Edge module to an IoT Edge device

• Publish an IoT Edge module to Azure Container Registry

• Define module configuration

• Configure IoT Edge module routing

• Configure environment for IoT Edge development

Configure an IoT Edge device

• Select an appropriate gateway pattern

• Deploy an IoT gateway by using IoT Hub and IoT Edge

• Configure IoT Edge certificates

• Implement and configure offline support (including local storage)

• Create a layered hierarchy of IoT Edge devices

• Interact with the IoT Edge security manager

Implement business integration (5–10%)

Integrate with upstream and downstream systems

• Set up input and output connections to support native Azure services and to enable third-party services • Set up IoT Hub routing to support downstream Azure resources

Develop an IoT solution that uses Azure Digital Twins

• Create models and digital twins

• Map IoT device data to digital twin models and relationships

• Ingest IoT device messages, and translate messages to digital twins

• Configure routes and endpoints to trigger business logic and data processing

• Manage and query the Azure Digital Twins graph

• Update properties on Azure Digital Twins entities in the graph

• Monitor and troubleshoot Azure Digital Twins

Process and manage data (10–15%)

Configure message routing in Azure IoT Hub

• Implement message enrichment in IoT Hub

• Implement routing of IoT device telemetry to endpoints

• Implement routing of IoT Hub non-telemetry events to endpoints

• Define and test routing queries

• Configure IoT Hub as an Azure Event Grid source

• Reconfigure the default Azure Event Hubs endpoint when there are multiple endpoints

Configure stream processing of IoT data

• Create Azure Stream Analytics for data, and stream processing by using the Azure portal

• Process and filter IoT data by using Azure Functions

• Write user-defined functions and aggregations in Stream Analytics

• Consume Azure Machine Learning functions in Stream Analytics

• Configure Stream Analytics outputs

Create Azure Stream Analytics queries

• Write a Stream Analytics query that runs in IoT Edge

• Write a Stream Analytics query that runs in the cloud

Monitor, troubleshoot, and optimize IoT solutions (10–15%)

Configure health monitoring

• Configure rules and alerts based on IoT Hub metrics

• Set up diagnostics logs for IoT Hub

• Apply Azure Policy definitions for IoT Hub

• Gather IoT Edge metrics

• Retrieve diagnostic logs from IoT Edge

Troubleshoot device communication

• Verify that device telemetry is received by IoT Hub

• Validate device twin properties, tags, and direct methods

• Troubleshoot device disconnects and connects

• Troubleshoot IoT Edge modules and devices

• Troubleshoot message loss

• Evaluate and test IoT Hub failover

Implement security (10–15%)

Implement security for IoT devices and services

• Implement device and gateway security, including shared access keys, key rotation, managed identities, Hardware Security Modules (HSMs), and Trusted Platform Modules (TPMs)

• Implement secure connections, including access control, authentication, shared access policies, and TLS

• Implement secure networking, including IP filtering and private endpoints

Implement Microsoft Defender for IoT

• Configure a Defender for IoT agent-based solution

• Install and configure Defender-IoT-micro-agents (security agents)

• Configure built-in and custom alerts for IoT Hub

Candidates for this exam should have a general understanding of device types and Azure services, including data storage options, data analysis, data processing, AI, and other platform as a service (PaaS) options. They must be able to program in at least one Azure IoT software development kit–supported (SDK-supported) language.

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