AZ-220T00-A | Microsoft Azure IoT Developer

The IoT Developer works with data engineers and other stakeholders to ensure successful business integration. IoT Developers should have a good understanding of Azure services, including data storage options, data analysis, data processing, and the Azure IoT PaaS versus SaaS options. IoT Developers should have basic programming skills in at least one Azure-supported language, including C#, Node.js, C, Python, or Java.

Particiapnts should have the following:

• Cloud Solution Awareness: Students should have experience using the Azure Portal and a basic understanding of PaaS, SaaS, and IaaS implementations.
• Software Development Experience: Software development experience is a prerequisite for this course, but no specific software language is required, and the experience does not need to be at a professional level.
• Data Processing Experience: General understanding of data storage and data processing is recommended but not required.

In this module, students will begin by examining the business considerations for various IoT implementations and reviewing how the Azure IoT Reference Architecture supports IoT solutions. This module also provides students with an overview of the Azure services commonly used in an IoT solution and provides an introduction to the Azure portal.

• Business Opportunities for IoT
• Introduction to IoT Solution Architecture
• IoT Hardware and Cloud Services
• Lab Scenarios for this Course

Lab : Getting Started with Azure

Lab : Setting Started with Azure IoT Services

After completing this module, students will be able to:

Explain how IoT and Azure IoT could be applied to their business

Describe the core components of an Azure IoT Solution Architecture

Describe the Azure IoT Services and how they relate to an IoT solution

Create an Azure account and use the Azure portal to create an IoT Hub and DPS

service

In this module, students will take a closer look at the Azure IoT Hub service and will learn how to configure secure two-way communication between IoT hub and devices. Students will also be introduced to IoT Hub features such as Device Twins and IoT Hub Endpoints that will be explored in more depth as the course continues.

• IoT Hub and Devices
• IoT Developer Tools
• Device Configuration and Communication

Lab : Setup the Development Environment

Lab : Connect IoT Device to Azure

After completing this module, students will be able to:

Explain the core features of the IoT Hub services

Describe the lifecycle of an Azure IoT device

Describe how IoT Hub manages device identities and implements other security

features

Register devices with the IoT Hub using the Azure portal, Azure CLI, and Visual

Studio Code

Implement the IoT Hub Device and Service SDKs

In this module, students will focus on device provisioning and how to configure and manage the Azure Device Provisioning Service. Students will learn about the enrolment process, auto-provisioning and re-provisioning, disenrollment, and how to implement various attestation mechanisms.

• Device Provisioning Service Terms and Concepts
• Configure and Manage the Device Provisioning Service
• Device Provisioning Tasks

Lab : Individual Enrollment of Devices in DPS

Lab : Automatic Enrollment of Devices in DPS

After completing this module, students will be able to:

Explain the process of device provisioning and the features of the Device

Provisioning Service

Explain the security considerations associated with device provisioning and how

they are managed Implement the Device Provisioning Service SDKs

Manage the device enrollment process, including deprovisioning and

disenrollment

In this module, students will examine how IoT Hub and other Azure services can be used to process messages. Students will begin with an investigation of how to configure message and event routing and how to implement routing to built-in and custom endpoints. Students will learn about some of the Azure storage options that are common for IoT solutions. To round out his module, students will implement Azure Stream Analytics and queries for a number of ASA patterns.

• Messages and Message Processing
• Data Storage Options
• Azure Stream Analytics

Lab : Device Message Routing

Lab : Filtering and Aggregating Message Data

After completing this module, students will be able to:

Configure message and event routing

Route data to the built-in and custom endpoints

Implement message enrichment

Implement Azure Stream Analytics Inputs, Queries, and Outputs

Store message data in a warm storage for historical purposes and additional

analysis

Use an Azure Function within a message processing and analytics solution

In this module, students will learn about the Azure services and other Microsoft tools that can be used to generate business insights and enable business integration. Students will implement Azure Logic Apps and Event Grid, and they will configure the

connection and data transformations for data visualization tools such as Time Series Insights and Power BI.

• Business Integration for IoT Solutions
• Data Visualization with Time Series Insights
• Data Visualization with Power BI

Lab : Integrate IoT Hub with Event Grid

Lab : Explore and Analyze Time Stamped Data with Time Series Insights

After completing this module, students will be able to:

Explain the options for business integration within an IoT solution and how to

achieve them

Develop business integration support using Logic Apps and Event Grid

Configure IoT Data for Visualization in Time Series Insights

Configure IoT Data for Visualization in Power BI

In this module, students will learn how to deploy a module to an Azure IoT Edge device. Students will also learn how to configure and use an IoT Edge device as a gateway device.

• Introduction to Azure IoT Edge
• Edge Deployment Process
• Edge Gateway Devices

Lab : Introduction to IoT Edge

Lab : Set Up an IoT Edge Gateway

After completing this module, students will be able to:

Describe the difference between an IoT device and an IoT Edge device

Configure an IoT Edge device

Implement an IoT Edge deployment using a deployment manifest

Configure an IoT Edge device as a gateway device

In this module, students will develop and deploy custom edge modules, and will implement support for an offline scenario that relies on local storage. Students will use Visual Studio Code to build custom modules as containers using a supported container engine.

• Develop Custom Edge Modules
• Offline and Local Storage

Lab : Develop, Deploy, and Debug a Custom Module on Azure IoT Edge

Lab : Run an IoT Edge Device in Restricted Network and Offline

After completing this module, students will be able to:

Explain the requirements for building a custom edge module

Configure Visual Studio Code for developing containerized modules

Deploy a custom module to an IoT Edge device

Implement local storage on an IoT Edge device in support of an offline scenario

In this module, students will learn how to implement device management for their IoT solution. Students will develop device management solutions that use devoice twins and solutions that use direct methods.

• Introduction to IoT Device Management
• Manage IoT and IoT Edge Devices
• Device Management at Scale

Lab : Remotely Monitor and Control Devices with Azure IoT Hub

Lab : Automatic Device Management

After completing this module, students will be able to:

Describe the most common device management patterns and configuration best

practices

Describe when and how to use device twins and direct methods to implement

device management

Implement device management for various patterns using device twins and direct

methods

Implement device management at scale using automatic device management and

jobs

In this module, students will configure logging and diagnostic tools that help developers to test their IoT solution. Students will use IoT Hub and Azure Monitor to configure alerts and track conditions such as device connection state that can be used to troubleshoot issues.

• Monitoring and Logging
• Troubleshooting

Lab : Configure Metrics and Logs in Azure IoT Hub

Lab : Monitor and Debug Connection Failures

After completing this module, students will be able to:

Describe the options for monitoring and logging an Azure IoT solution

Configure Azure Monitor to support of an IoT solution

Configure IoT Hub Metrics to support of an IoT solution

Implement diagnostics logging

Troubleshoot IoT device connection and communication issues

In this module, students will examine the security considerations that apply to an IoT solution. Students will begin by investigating security as it applies to the solution architecture and best practices, and then look at how Azure Security Center for IoT supports device deployment and IoT Hub integration. Students then use Azure Security Center for IoT Agents to enhance the security of their solution.

• Security Fundamentals for IoT Solutions
• Introduction to Azure Security Center for IoT
• Enhance Protection with Azure Security Center for IoT Agents

Lab : Implementing Azure Security Center for IoT

After completing this module, students will be able to:

Describe security concerns and best practices for an IoT solution

Describe the Azure IoT Security Architecture and Threat Modeling

Describe the features and support provided by Azure Security Center for IoT

Configure Security Agents and Security Module Twins

Aggregate Azure Security Center for IoT Events

In this module, students will learn how configure and implement Azure IoT Central as a SaaS solution for IoT. Students will begin with a high-level investigation of IoT Central and how it works. With a basic understanding of IoT central establish, students will move on to creating and managing device templates, and then managing devices in their IoT Central application.

• Introduction to IoT Central
• Create and Manage Device Templates
• Manage Devices in Azure IoT Central

Lab : Get Started with Azure IoT Central

Lab : Implementing IoT Solutions with Azure IoT Central