How to study the AZ-220:Microsoft Azure IoT Developer Exam

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Career Prospects

The certified professionals have many career opportunities. For the individuals with the Microsoft Certified: Azure IoT Developer Specialty certification, there are various job roles that they can pursue. Some of them include a Software Developer, a Creative Technologist, an IoT Technical Specialist, a Customer Engineer, an Azure Cloud Engineer, a .Net Developer, an Azure Architect, an IoT Security Developer, and an Azure Data Engineer. With the growing demand for these experts, the salary potential is also high. On average, a certified specialist can earn $83,000 per annum. Suffice to mention that some positions can give you even more than that.

The Microsoft AZ-220 certification exam measures the individuals’ experience in implementing Azure services. These services make up an Internet of Things (IoT) solution. This includes data storage options, data analysis, PaaS (platform-as-a-service options), and data process. These professionals have the relevant skills in identifying service configuration settings of Azure Internet of Things in the code segment of IoT solutions. The potential candidates should also be able to carry out the identified IoT coding functions in a minimum of one programming language that is supported by Azure, including C, Python, Node, or C#. Those who pass this test are eligible for the Microsoft Certified: Azure IoT Developer Specialty certificate.

Topics of AZ-220:Microsoft Azure IoT Developer Exam

Candidates should apprehend the examination topics before they begin of preparation. because it'll extremely facilitate them in touch the core. Our AZ-220 exam dumps will include the following topics:

1. Implement the IoT solution infrastructure (15-20%)

Create and configure an IoT Hub

• Create an IoT Hub
• Configure a device twin
• Configure IoT Hub tier and scaling
• Register a device

Build device messaging and communication

• Implement cloud-to-device communication
• Build messaging solutions by using SDKs (device and service)
• Configure file upload for devices
• Implement device-to-cloud communication

Configure physical IoT devices

• Configure device networking, topology, and connectivity
• Recommend an appropriate protocol based on device specifications

2. Provision and manage devices (20-25%)

Implement the Device Provisioning Service (DPS)

• Manage allocation policies by using Azure Functions
• Link an IoT Hub to the DPS
• Create a new enrollment in DPS
• Create a Device Provisioning Service

Manage the device lifecycle

• Decommission (disenroll) a device
• Deprovision an autoenrollment
• Provision a device by using DPS

Manage IoT devices by using IoT Hub

• Trigger an action on a set of devices by using IoT Hub Jobs and Direct Methods
• Set up Automatic Device Management of IoT devices at scale
• Modify device twin tags and properties
• Manage devices list in the IoT Hub device registry

Build a solution by using IoT Central

• Add and manage devices from IoT Central
• Monitor devices
• Configure rules and actions in Azure IoT Central
• Define the operator view
• Define a device type in Azure IoT Central

3. Implement Edge (15-20%)

Set up and deploy an IoT Edge device

• Define and implement deployment manifest
• Install container runtime on IoT devices
• Update security daemon and runtime
• Deploy a single IoT device to IoT Edge
• Create a deployment for IoT Edge devices
• Create a device identity in IoT Hub

Develop modules

• Publish an IoT Edge module to an Azure Container Registry
• Create and configure an Edge module
• Deploy a module to an Edge device

Configure an IoT Edge device

• Implement and configure offline support
• Select and deploy an appropriate gateway pattern
• Implement module-to-module communication

4.Process and manage data (15-20%)

Configure routing in Azure IoT Hub

• Define and test routing queries
• Configure routing of IoT Device messages to endpoints
• Implement message enrichment in IoT Hub
• Integrate with Event Grid

Configure stream processing

• Process and filter IoT data by using Azure Functions
• Configure Stream Analytics outputs
• Create ASA for data and stream processing of IoT data

Configure an IoT solution for Time Series Insights (TSI)

• Connect the IoT Hub and the Time Series Insights (TSI)
• Create an Azure Time Series Insights (TSI) environment
• Implement solutions to handle telemetry and time-stamped data

5. Monitor, troubleshoot, and optimize IoT solutions (15-20%)

Configure health monitoring

• Configure metrics in IoT Hub
• Query and visualize tracing by using Azure monitor
• Set up diagnostics logs for Azure IoT Hub

Troubleshoot device communication

• Validate device twin properties, tags and direct methods
• Troubleshoot device disconnects and connects
• Establish maintenance communication
• Verify device telemetry is received by IoT Hub

Perform end-to-end solution testing and diagnostics

• Set up device D2C message tracing by using Azure Distributed Tracing
• Conduct performance and stress testing
• Estimate the capacity required for each service in the solution

6. Implement security (15-20%)

Implement device authentication in the IoT Hub

• Manage the symmetric keys for a device
• Manage the X.509 certificates for a device
• Choose an appropriate form of authentication

Implement device security by using DPS

• Configure enrollment with x.509 certificates
• Generate and manage x.509 certificates for IoT Devices
• Configure enrollment with symmetric keys
• Generate a TPM endorsements key for a device
• Configure different attestation mechanisms with DPS

Implement Azure Security Center (ASC) for IoT

• Configure custom alerts
• Create security modules
• Enable ASC for IoT in Azure IoT Hub

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/az-220

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