Microsoft Azure IoT Developer Exam AZ-220 Study Guide: Overview, Core Skills, and Career Relevance

The Microsoft Azure IoT Developer Exam (AZ-220) is a specialized certification intended for developers who design and implement Internet of Things (IoT) solutions using Microsoft Azure services. As industries grow increasingly connected, demand for skilled professionals who can build, secure, and manage intelligent IoT applications continues to rise. AZ-220 certification proves that a developer understands not only how to integrate devices with cloud-based services but also how to ensure their scalability, security, and reliability.

This comprehensive study guide (Part 1 of 3) provides a foundational understanding of the AZ-220 exam, core concepts, targeted skills, and the relevance of the certification in today’s job market. Whether you’re an experienced developer exploring IoT or an IT professional looking to specialize in cloud-connected device applications, this guide will prepare you for your journey.

Why IoT and Why Now?

The Internet of Things has moved from a buzzword to a business-critical technology. Connected devices are used in almost every sector: manufacturing, healthcare, transportation, smart homes, agriculture, and more. According to industry forecasts, the number of connected devices worldwide is expected to exceed 30 billion by 2030.

This surge in connected endpoints brings a parallel demand for professionals who can manage device provisioning, data routing, telemetry processing, cloud integration, and edge computing. The Microsoft Azure IoT Developer certification is uniquely positioned to validate expertise in building these solutions within one of the world’s most popular cloud ecosystems.

What is the AZ-220 Exam?

The AZ-220 certification, officially named Microsoft Certified: Azure IoT Developer Specialty, tests candidates on their ability to develop cloud and edge components of an IoT solution. The exam focuses on:

• Implementing the IoT solution infrastructure
  
• Provisioning and managing devices
  
• Implementing IoT Edge components
  
• Processing and managing data
  
• Monitoring, troubleshooting, and optimizing IoT solutions
  
• Implementing security

Successful candidates earn a Microsoft Certification that is recognized globally and signals that they have in-demand expertise in IoT development using Azure.

Target Audience for AZ-220

Microsoft designed AZ-220 for developers who work with data engineers, cloud solution architects, and stakeholders to ensure successful integration of IoT solutions with enterprise systems. The ideal candidate should be familiar with:

• Azure services like IoT Hub, Device Provisioning Service (DPS), Azure Functions, and Stream Analytics
  
• Basic programming skills in languages like C#, Python, or Node.js
  
• Managing IoT devices using SDKs
  
• Developing for the Azure cloud platform

Even though deep experience in electronics or embedded systems is not required, familiarity with device communication protocols such as MQTT and AMQP is helpful.

Skills Measured in the AZ-220 Exam

Microsoft updates the AZ-220 skills outline periodically to reflect industry trends. As of the latest update, the exam focuses on the following key skill areas:

Implement IoT solution infrastructure (15–20%)

This section covers configuring and deploying Azure IoT Hub, setting up custom endpoints, and managing routing of device-to-cloud messages. It also involves working with Azure Storage accounts and Stream Analytics to process telemetry data.

Provision and manage devices (15–20%)

You’ll be tested on how to use the Azure Device Provisioning Service (DPS), register devices programmatically, and manage device lifecycle operations. Concepts like twin synchronization and bulk device provisioning are critical.

Implement Edge (15–20%)

This domain includes deploying Azure IoT Edge, creating modules, containerizing custom logic, and deploying workloads to edge devices. It also includes device-to-cloud synchronization and managing edge gateway devices.

Process and manage data (15–20%)

Processing telemetry data, enriching data streams, setting up message routing, and storing data in databases or blobs are central to this section. Familiarity with services like Azure Stream Analytics, Cosmos DB, and Time Series Insights is important.

Monitor, troubleshoot, and optimize IoT solutions (15–20%)

Monitoring device connectivity, latency, message delivery failures, and operational insights form the basis of this domain. You should know how to use Azure Monitor, Log Analytics, and diagnostic settings.

Implement security (15–20%)

This section tests your understanding of IoT security best practices, including securing devices, establishing secure cloud-to-device communications, managing authentication and access control, and integrating X.509 certificates.

Exam Details

Before preparing for the exam, it’s important to understand the logistics and format of AZ-220.

• Certification Name: Microsoft Certified: Azure IoT Developer Specialty
  
• Exam Code: AZ-220
  
• Cost: Approximately USD 165 (varies by region)
  
• Duration: 100–120 minutes
  
• Number of Questions: Typically 40–60
  
• Question Format: Multiple choice, case studies, drag-and-drop, and performance-based questions
  
• Passing Score: 700/1000
  

The exam is available in English, Japanese, Chinese (Simplified), and Korean. You can take it at a test center or online through Microsoft’s remote proctoring system.

Recommended Prerequisites

Although there are no formal prerequisites to sit for the AZ-220 exam, Microsoft recommends the following knowledge areas and skills:

• Experience developing cloud applications and managing Azure resources
  
• Understanding of device programming, data processing, and telemetry
  
• Proficiency in at least one supported programming language
  
• Familiarity with security mechanisms, cloud-to-edge architecture, and device provisioning methods

A prior Azure certification such as Azure Fundamentals (AZ-900) or Azure Developer Associate (AZ-204) is helpful but not required.

Benefits of AZ-220 Certification

Azure IoT Developer certification offers a wide range of personal and professional benefits.

Career Opportunities

IoT development skills are in high demand. Certified professionals may qualify for roles such as:

• IoT Developer
  
• Azure Cloud Developer
  
• Embedded Systems Developer
  
• Solutions Architect (IoT focus)
  
• Edge Computing Specialist

Higher Earning Potential

Certifications often lead to salary increases and better job positions. According to industry surveys, IoT developers with Microsoft certifications can earn 15–25% more than their uncertified counterparts.

Real-World Skills

AZ-220 is not just about theory. It emphasizes practical, hands-on skills that you can immediately apply in the workplace. By studying for the exam, you’ll gain fluency in using tools like IoT Hub, DPS, Stream Analytics, and Azure CLI.

Microsoft Ecosystem Recognition

Microsoft certifications are globally recognized. Being part of the Microsoft Certified Professional (MCP) community connects you with other experts and provides ongoing access to learning resources and career tools.

The Role of Azure in IoT

Azure offers a complete suite of services for managing end-to-end IoT solutions. As an IoT developer, you will primarily work with the following Azure components:

Azure IoT Hub

IoT Hub is the central message broker between IoT devices and the Azure cloud. It supports bi-directional communication, device management, telemetry ingestion, and integration with other Azure services.

Device Provisioning Service (DPS)

DPS automates the device registration process. It allows zero-touch provisioning of new devices into IoT Hub, reducing operational overhead and improving security.

Azure IoT Edge

IoT Edge extends cloud intelligence to local devices. You can deploy containers, run machine learning models, and process data at the edge before sending it to the cloud. This is especially useful in scenarios with limited bandwidth or low latency requirements.

Stream Analytics

Used to process large streams of telemetry data in near real-time. You can apply filters, aggregations, and machine learning models to incoming data and send the results to a variety of storage or notification services.

Time Series Insights

Provides a managed analytics platform for time series data. Useful for visualizing and analyzing trends, anomalies, and operational metrics over time.

Azure Functions

Serverless compute for lightweight data processing. Azure Functions are often used to trigger actions based on incoming telemetry data or device status changes.

Common Use Cases for Azure IoT Developers

As an Azure IoT Developer, you’ll likely work on a wide range of applications across different industries. Some popular use cases include:

Smart Manufacturing

• Real-time machine monitoring
  
• Predictive maintenance
  
• Production line optimization

Healthcare

• Remote patient monitoring
  
• Equipment tracking
  
• Environmental monitoring in labs
  

Agriculture

• Soil and crop monitoring
  
• Weather-based irrigation control
  
• Livestock tracking

Smart Cities

• Traffic management
  
• Energy usage optimization
  
• Environmental sensors
  

Transportation and Logistics

• Fleet tracking and management
  
• Cold chain monitoring
  
• Predictive diagnostics for vehicles

Understanding how Azure IoT services apply to these use cases will help contextualize the knowledge required for AZ-220 and improve your problem-solving skills during the exam.

Exam Preparation Strategy

To effectively prepare for the AZ-220 certification, consider the following strategy:

Review Microsoft Learn Modules

Microsoft Learn offers free, official learning paths tailored for the AZ-220 exam. These interactive tutorials and labs are structured according to the exam objectives.

Build Hands-on Projects

Set up a real Azure environment (free accounts come with $200 credit) and create projects involving:

• Device telemetry ingestion
  
• Stream Analytics jobs
  
• Device provisioning with DPS
  
• Edge deployments using IoT Edge

Study the Official Skills Outline

Download the skills outlined from the official Microsoft site. This document details every topic that may be covered on the exam and serves as your checklist.

Use Practice Tests

Mock exams and quizzes are invaluable. They test your knowledge under exam conditions and help identify weak spots. Aim for a consistent score of 85% or higher on practice tests before scheduling the real exam.

Join Developer Communities

Azure forums, GitHub repositories, LinkedIn groups, and Stack Overflow discussions can help you learn from others’ experiences, troubleshoot issues, and stay updated on the latest best practices.

Laying the Groundwork for Certification

The Microsoft Azure IoT Developer AZ-220 certification is an excellent way to gain recognition for your IoT development skills and demonstrate your ability to build robust cloud-to-edge solutions. As we’ve seen in this guide, the exam focuses on a broad but practical range of competencies, from device management to telemetry processing and edge computing.

This guide has laid the groundwork by introducing the exam, its benefits, skill areas, Azure services involved, and practical applications. In Part 2, we will dive deeper into the technical domains covered in the exam, including detailed explanations of device provisioning, security best practices, data management, and edge deployments.

Stay committed, practice actively, and use this guide as your compass. The AZ-220 exam is challenging but entirely achievable with the right approach.

After understanding the structure, benefits, and scope of the AZ-220 certification in Part 1, it’s time to dive deeper into its technical foundations. This article focuses on three major domains of the AZ-220 exam: Azure IoT Hub, Device Provisioning Service (DPS), and IoT Edge Deployment.

Each of these services is essential to building a scalable and secure IoT solution on Azure. Azure IoT Hub serves as the central communication point for all devices. DPS automates the secure onboarding of devices. IoT Edge brings processing power to the edge of the network. Mastering these services is crucial for success on the exam and in real-world IoT projects.

Understanding Azure IoT Hub

Azure IoT Hub is a fully managed service that enables reliable and secure bi-directional communication between IoT applications and the devices it manages. It acts as a central messaging hub for millions of devices and supports multiple protocols such as HTTPS, MQTT, and AMQP.

Key Features of IoT Hub

• Device-to-cloud telemetry and cloud-to-device commands
  
• Device identity and authentication
  
• Device twin and module twin synchronization
  
• Direct methods for device control
  
• Integration with Azure services like Stream Analytics and Functions
  
• Custom endpoints and message routing

IoT Hub vs Event Hub

IoT Hub is often confused with Event Hub. While both can ingest large volumes of data, IoT Hub is purpose-built for IoT with device management capabilities, support for bi-directional communication, and security models tailored to IoT devices.

Core Concepts to Learn for AZ-220

1. Device Identity Registry
   Each device must be registered with the IoT Hub using a unique identity. This identity is used to authenticate and authorize communication.
   
2. IoT Hub Endpoints
   Data received by IoT Hub can be routed to various endpoints such as Blob Storage, Service Bus, or Event Hubs using routing rules.
   
3. Message Routing
   Configure message routing rules based on message properties or message body to control how telemetry is processed.
   
4. Device Twins
   A JSON document that stores device metadata, configuration, and state. Useful for synchronization and monitoring.
   
5. Direct Methods
   Allow cloud applications to invoke methods on a connected device in real time, commonly used for on-demand operations.
   
6. Cloud-to-Device Messaging
   Messages from the cloud to the device are queued and persisted until the device is available.

Security in IoT Hub

• IoT Hub supports authentication via shared access keys, X.509 certificates, or Azure Active Directory (Azure AD).
  
• Devices should be grouped into IoT Hub device groups to apply per-device policies.
  
• Always apply least privilege access by generating individual access policies for specific use cases.

Device Provisioning Service (DPS)

Azure IoT Hub Device Provisioning Service (DPS) is a helper service that enables zero-touch, just-in-time provisioning to the right IoT Hub. It is essential when managing thousands or millions of devices across different hubs, regions, or applications.

Why Use DPS?

Manual device registration is inefficient and error-prone at scale. DPS automates this by provisioning devices dynamically and securely without human intervention.

DPS Provisioning Flow

1. The device contacts DPS using its unique identifier and credentials.
   
2. DPS validates the credentials (X.509 certs or symmetric keys).
   
3. Based on the enrollment group or individual enrollment, DPS determines the target IoT Hub.
   
4. Device gets registered in that IoT Hub, and connection info is returned.

Key Concepts for the Exam

1. Individual Enrollments vs Enrollment Groups
   
   • Individual enrollments are for unique devices.
     
   • Enrollment groups allow for multiple devices to use shared attestation methods like certificates.
     
2. Attestation Mechanisms
   
   • Symmetric Key Attestation: Each device has a shared key.
     
   • X.509 Certificate: More secure, especially when using hardware secure modules (HSMs).
     
   • TPM (Trusted Platform Module): Secure hardware-based attestation.
     
3. Allocation Policy
   Controls how devices are assigned to IoT Hubs. Options include:
   
   • Static (always the same IoT Hub)
     
   • Evenly weighted distribution
     
   • Custom logic via Azure Functions
     
4. Reprovisioning
   When devices change ownership or location, DPS can reprovision them dynamically.
   
5. Linked IoT Hubs
   DPS can connect to multiple IoT Hubs to distribute provisioning intelligently.

Security Tips for DPS

• Prefer X.509 certificates or TPM for secure device provisioning.
  
• Use Azure Key Vault to securely store provisioning keys.
  
• Monitor provisioning metrics using Azure Monitor and Activity Logs.

IoT Edge Deployment

Azure IoT Edge extends cloud capabilities to local devices. With IoT Edge, you can deploy artificial intelligence, Azure and third-party services, or custom logic directly to cross-platform IoT devices.

Why Use IoT Edge?

• Reduces latency by processing data locally.
  
• Saves bandwidth by filtering data before sending it to the cloud.
  
• Enables offline operation with eventual synchronization.
  
• Deploys containerized workloads securely and reliably.
  

Components of IoT Edge

1. IoT Edge Runtime
   Installed on each edge device to manage and monitor modules.
   
2. IoT Edge Modules
   Docker containers that perform specific functions like data filtering, analytics, or machine learning.
   
3. Cloud Interface
   Azure IoT Hub manages modules, updates, and device provisioning.

IoT Edge Use Cases

• Real-time data filtering and aggregation in factories
  
• Running ML models for predictive maintenance
  
• Gateway scenarios where one device connects several downstream devices

Deployment Workflow

1. Install IoT Edge runtime on the device.
   
2. Register the edge device in IoT Hub.
   
3. Create a deployment manifest (JSON format) that defines which modules should run.
   
4. Push the deployment to the device using IoT Hub.
   
5. Monitor status and logs through Azure Portal or CLI.

Key Skills Measured on the Exam

1. Create and Deploy Modules
   
   • Write custom modules in C#, Python, or Node.js.
     
   • Containerize using Docker and publish to Azure Container Registry (ACR).
     
   • Use Visual Studio Code with IoT Edge extension for local testing.
     
2. Device Gateway Configuration
   Configure an edge device to act as a gateway for multiple downstream devices.
   
3. Offline Operation
   Design edge devices to cache data during offline periods and synchronize with IoT Hub when reconnected.
   
4. Deployment Templates
   Use JSON templates to deploy multiple modules at once and maintain consistency.
   
5. Monitoring and Logs
   Use IoT Hub monitoring, Azure Monitor, and built-in diagnostics to troubleshoot deployments.

Best Practices for IoT Hub, DPS, and Edge

1. Scalability
   
   • Use multiple IoT Hubs and DPS with allocation policies for horizontal scalability.
     
   • Use Edge devices to offload processing from the cloud.
     
2. Security
   
   • Always use hardware-backed identities for high-security scenarios.
     
   • Encrypt messages end-to-end.
     
   • Regularly rotate symmetric keys.
     
3. Monitoring
   
   • Use Azure Monitor and Log Analytics to gain visibility into your IoT infrastructure.
     
   • Set up alerts for anomalies like device disconnects or message failures.
     
4. Testing and Validation
   
   • Emulate devices during development using Azure IoT SDKs.
     
   • Perform load testing with simulated environments.
     
5. Cost Optimization
   
   • Use message routing to send only relevant data to high-cost services like Cosmos DB.
     
   • Process data locally at the edge to reduce cloud storage and compute usage.

Practice Scenario for AZ-220

Imagine you’re tasked with deploying an IoT solution across 1,000 retail stores. Each store will have sensors reporting temperature, humidity, and foot traffic. The goal is to send only abnormal data to the cloud to save bandwidth and trigger alerts in real time.

Ideal Architecture

• IoT Edge Device in each store for local processing and anomaly detection.
  
• IoT Hub to manage connectivity and cloud communications.
  
• Device Provisioning Service to handle large-scale onboarding.
  
• Azure Functions to trigger alerts and send data to Power BI.
  
• Stream Analytics for processing telemetry in near real-time.

By understanding this end-to-end scenario, you solidify concepts covered in AZ-220 and gain real-world applicability.

Microsoft Azure IoT Developer Exam AZ-220 study guide focused on the essential technical components that form the core of most Azure-based IoT solutions. From managing device identities and telemetry through IoT Hub, securely provisioning devices at scale using DPS, to deploying and managing edge modules with IoT Edge—each component plays a critical role in building robust, scalable, and secure IoT applications.

Mastering these services not only prepares you for the AZ-220 exam but also equips you with the skills needed to succeed as a professional Azure IoT Developer. In Part 3 of this series, we’ll explore data processing, security best practices, monitoring strategies, and provide final preparation tips to help you confidently pass the AZ-220 exam.

Data Processing, Security, Monitoring, and Final Preparation

We explored the fundamentals of the Microsoft Azure IoT Developer Exam AZ-220, including core services like IoT Hub, Device Provisioning Service (DPS), and IoT Edge. Now, in Part 3, we will delve into the remaining core competencies: processing and managing data, implementing robust security, monitoring and optimizing IoT solutions, and strategies for exam success.

This part is critical because many developers struggle to align their practical development knowledge with Azure’s monitoring, data streaming, and security toolsets. By mastering the topics in this section, you’ll complete your preparation and position yourself as a confident candidate for the AZ-220 exam.

Processing and Managing IoT Data

IoT applications are only as valuable as the data they collect, process, and act upon. Data from IoT devices can be continuous, high-volume, and unpredictable. Azure offers a range of tools for data routing, transformation, storage, and analytics.

Telemetry Flow Overview

1. Devices send telemetry (sensor data) to IoT Hub.
   
2. IoT Hub uses message routing to direct the data to various endpoints.
   
3. Data is consumed by downstream services like Azure Stream Analytics, Azure Functions, or Cosmos DB.
   
4. Transformed or enriched data is stored or used to trigger actions.

Azure Stream Analytics

Azure Stream Analytics is a real-time data stream processing service that enables real-time analytics on telemetry. It supports SQL-like query language, integrates directly with IoT Hub, and outputs results to multiple sinks.

Key Features

• Real-time filtering, transformation, and aggregation
  
• Integration with IoT Hub and Event Hub
  
• Output to Azure Blob Storage, SQL Database, Power BI, and more
  
• Temporal windows and JOIN operations for time-based analysis
  

Stream Analytics will route this event to a function or storage target.

Message Routing in IoT Hub

Message routing allows you to route telemetry data based on conditions. You define:

• Source (Device Telemetry, Device Twin Changes, etc.)
  
• Conditions (message properties or body)
  
• Endpoints (Blob, Service Bus, Event Hub)

Example: Route only critical alerts to a high-priority Event Hub.

Data Storage Options

Azure provides multiple options to store and query IoT data:

• Azure Blob Storage for cold storage
  
• Azure Data Lake Gen2 for big data analytics
  
• Cosmos DB for JSON document-based real-time applications
  
• Time Series Insights (TSI) for visualization and analysis of time-series telemetry

Choose storage based on data retention, access frequency, and query patterns.

Implementing Security in IoT Solutions

Security is a foundational component of any IoT solution. The AZ-220 exam places a strong emphasis on understanding and applying end-to-end IoT security. This includes secure device identity, communication, authentication, data integrity, and access control.

Layers of IoT Security

1. Device Security
   
2. Communication Security
   
3. Cloud Security
   
4. Operations Security

Device Authentication and Authorization

Devices must authenticate using:

• Symmetric keys
  
• X.509 certificates
  
• Trusted Platform Modules (TPMs)

Certificates are preferred due to enhanced security and support for hardware-backed identity.

Key Concepts

• IoT Hub Access Policies: Control permissions for registry read/write, device connect, and service connect.
  
• Per-device credentials: Avoid sharing keys among devices.
  
• Device twins can store security metadata.
  

Secure Communications

All communication between IoT devices and IoT Hub must be encrypted using TLS. Ensure that devices support TLS 1.2 or later.

• Use AMQP over WebSockets for firewall-friendly communication.
  
• Validate server certificates on the device side to prevent spoofing.

Data Integrity and Confidentiality

• Use end-to-end encryption for sensitive telemetry.
  
• Sign messages using device keys or certificates.
  
• Consider using Azure Defender for IoT for advanced threat detection.

Role-Based Access Control (RBAC)

Azure uses RBAC to control access to resources. For example, restrict developers to only monitor devices, while operations can provision and delete devices.

Built-in Roles

• IoT Hub Data Contributor
  
• IoT Hub Owner
  
• Device Provisioning Service Contributor

Always follow the principle of least privilege.

Monitoring, Troubleshooting, and Optimization

Even the best-designed IoT solutions can fail without proper monitoring and diagnostics. This section is essential for both exam success and real-world maintenance.

Azure Monitor

Azure Monitor provides telemetry data across Azure resources. For IoT, it allows you to:

• Monitor device connectivity
  
• Track message throughput
  
• Diagnose latency and dropped messages
  
• Set alerts for abnormal behavior

You can integrate logs into Log Analytics for advanced query capabilities.

Metrics and Logs

Key metrics to track:

• Total number of connected devices
  
• Device-to-cloud message count
  
• Cloud-to-device delivery success
  
• Edge module health status
  
• Route hit/miss counts

Use Azure Diagnostic Settings to route logs to a storage account, Log Analytics workspace, or Event Hub.

Troubleshooting Common Issues

• Device not connecting: Check credentials, firewall, DNS, and protocol support.
  
• Message not delivered: Review routing rules and filters.
  
• DPS failures: Validate attestation, enrollment group status, and allocation policies.
  
• Edge modules not starting: Examine container logs and deployment status via CLI or Azure Portal.

Optimization Tips

• Batch telemetry messages to reduce costs and improve performance.
  
• Minimize payload size by using binary formats like MessagePack.
  
• Use edge computing to pre-filter non-critical data.
  
• Monitor module CPU and memory usage to identify bottlenecks.

Final AZ-220 Exam Preparation Tips

Now that you’ve reviewed all technical domains covered in the AZ-220 exam, let’s shift focus to preparation strategy and exam readiness.

Step-by-Step Study Plan

1. Review Official Skills Outline
   
   • Download from Microsoft’s official site.
     
   • Use it as a checklist.
     
2. Study on Microsoft Learn
   
   • Free, guided modules aligned with exam objectives.
     
   • Includes hands-on labs and sandbox environments.
     
3. Build Your Own IoT Project
   
   • Create a real Azure IoT solution.
     
   • Simulate devices using Azure IoT SDKs.
     
   • Use DPS, deploy edge modules, and route data to storage.
     
4. Practice Exams
   
   • Use reputable platforms like Whizlabs, MeasureUp, or TutorialsDojo.
     
   • Aim for a consistent 85%+ before booking the actual test.
     
5. Use Azure Free Tier
   
   • Azure’s free account gives $200 credit.
     
   • Experiment with IoT Hub, DPS, Stream Analytics, and TSI.
     
6. Join Study Groups and Forums
   
   • Azure Tech Community
     
   • Microsoft Learn Community
     
   • Reddit r/Azure and r/IoT

Test-Day Tips

• Ensure your environment is distraction-free (for online proctored exams).
  
• Read each question carefully; look for keywords like least, most, first, or best.
  
• Time management is critical; don’t spend more than 2 minutes on a single question.
  
• Use the review feature to return to marked questions at the end.

Career Opportunities with AZ-220

Passing AZ-220 opens up exciting roles in cloud and IoT development. Titles include:

• Azure IoT Developer
  
• Edge Solutions Architect
  
• Cloud Application Developer (IoT Focus)
  
• Embedded Systems Developer with Azure
  
• IoT Solution Engineer

Industries such as automotive, agriculture, retail, smart cities, and healthcare are all actively seeking professionals with this certification.

According to job boards like Indeed and LinkedIn, Azure IoT Developers can earn between $100,000 to $140,000 per year in the US, depending on experience and location.

Summary

The Microsoft Azure IoT Developer Exam AZ-220 is a highly practical, developer-focused certification designed to prove your ability to design and manage real-world IoT solutions on Microsoft Azure.

AZ-220 is not just about passing an exam—it’s about gaining the skills to create innovative, connected systems that can change how industries operate. With diligent preparation, hands-on practice, and the right learning path, you will be well-equipped to pass the AZ-220 and launch or advance your career in the world of cloud-connected IoT.