AZ-220: Microsoft Azure IoT Developer Practice Test Original

It seems like you're looking for an overview of the skills measured by the Azure IoT Developer Associate exam as of September 24, 2020. The exam assesses a candidate's ability to implement and manage Azure IoT solutions, including infrastructure setup, device provisioning, edge processing, and data management and security. Here's a detailed breakdown based on the information you provided:

Implement the IoT Solution Infrastructure (15-20%)

• Create and configure an IoT Hub: Set up an IoT Hub instance and register devices to it.
• Register a device and configure a device twin: Register individual devices, create and manage device twins for state management.
• Configure IoT Hub tier and scaling: Select the appropriate IoT Hub tier based on the solution requirements.
• Build messaging solutions by using SDKs: Implement both device-to-cloud and cloud-to-device communication using the IoT Hub service.
• Configure device networking, topology, and connectivity: Determine the most suitable protocols and network configurations for IoT devices.

Provision and Manage Devices (20-25%)

• Implement the Device Provisioning Service (DPS): Set up DPS, create enrollment groups, and manage device allocation policies.
• Manage the device lifecycle: Use DPS for device provisioning, deprovisioning, and decommissioning.
• Manage IoT devices by using IoT Hub: Work with device registry, modify twin properties and tags, and use IoT Hub Jobs and Direct Methods to manage devices at scale.
• Build a solution by using IoT Central: Define device types, configure rules and actions, and set up operator views in Azure IoT Central.

Set Up and Deploy an IoT Edge (15-20%)

• Set up and deploy an IoT Edge device: Create IoT device identities, deploy devices to IoT Edge, and manage edge deployments.
• Develop modules: Create, configure, and deploy edge modules, and publish them to a container registry like Azure Container Registry.
• Configure an IoT Edge device: Implement gateway patterns, deploy Modbus or OPC modules, set up module communication, and implement offline support.

Process and Manage Data (15-20%)

• Configure routing in Azure IoT Hub: Implement message routing and enrichment, and define queries for routing decisions.
• Integrate with Event Grid: Connect IoT Hub to Event Grid for event distribution.
• Configure stream processing: Set up the Azure Stream Analytics service to process and filter IoT data.
• Configure an IoT solution for Time Series Insights (TSI): Implement TSI for handling time-series data, monitor, troubleshoot, and optimize IoT solutions, and estimate capacity requirements.

Configure Health Monitoring and Security (15-20%)

• Set up diagnostics logs: Use Azure Monitor to collect logs from IoT Hub for analysis and troubleshooting.
• Implement device authentication in the IoT Hub: Choose appropriate authentication methods, manage X.509 certificates, and symmetric keys.
• Implement device security by using DPS: Configure different attestation mechanisms, generate x.509 certificates, and use symmetric keys for secure communication.
• Implement Azure Security Center (ASC) for IoT: Enable ASC for IoT in IoT Hub to enhance the security posture of IoT solutions.

Additional Considerations for the Exam:

• Understanding of Azure Services: Familiarity with other Azure services that complement IoT, such as Azure Functions, Azure Container Registry, and Azure Time Series Insights.
• Knowledge of Best Practices: Implementing solutions following Azure best practices for security, performance, and cost optimization.
• Experience with Real-World Scenarios: Applying theoretical knowledge to solve real-world problems and scenarios involving IoT devices and data processing.

To prepare for the Azure IoT Developer Associate exam, candidates should have hands-on experience with Azure IoT services, a strong understanding of IoT architectures, and the ability to implement secure, scalable, and reliable IoT solutions. It's also recommended to use Azure documentation, samples, and tutorials as resources during preparation.