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Last Updated: Jul 24, 2026
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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/az-220
This path has no official prerequisites. However, it is aimed at those individuals with the skills in developing edge and Cloud components of Azure IoT solutions. You can go for it if you are an Azure IoT Developer who is responsible for the management of setup, maintenance, and configuration of a device’s lifecycle. You need to be able to implement different designs for an Azure IoT solution, which include connectivity, device topology, security, and debugging. Those who aim for this option should also be able to design solutions to transform, manage, and monitor an IoT-related data pipeline. These professionals work with other data engineers and stakeholders to promote successful business integration.
Candidates for this exam should have subject matter expertise implementing the configuration and coding tasks required to create and maintain the cloud and edge portions of an IoT solution.
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.
Part of the requirements for: Microsoft Certified: Azure IoT Developer Specialty
The exceptional expertise and great hands-on experience that any Azure IoT specialist requires to develop can be acquired with the Microsoft AZ-220 exam. By explaining every bit of this subject matter, a test like this plays a crucial role in creating a gen-next workforce of seasoned Azure IoT professionals.
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement IoT solution infrastructure | 10–15% | - Configure device communication and messaging - Provision and configure Azure IoT Hub |
| Topic 2: Implement security for IoT solutions | 10–15% | - Implement encryption and access control - Secure device identity and authentication |
| Topic 3: Process and manage data | 15–20% | - Integrate with Azure Stream Analytics - Store and process IoT data in Azure services |
| Topic 4: Monitor, troubleshoot, and optimize IoT solutions | 10–15% | - Monitor device health and telemetry - Troubleshoot connectivity and performance issues |
| Topic 5: Provision and manage devices | 15–20% | - Device provisioning using DPS - Device lifecycle management |
| Topic 6: Implement IoT Edge | 15–20% | - Deploy and configure IoT Edge devices - Develop and deploy IoT Edge modules |
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