AZ-220 Microsoft Azure IOT Developer

1. IoT Solution Development: Mastery in designing, developing, and implementing IoT solutions using Azure IoT services and technologies.

2. Device Management: Expertise in managing IoT devices securely, including provisioning, registration, authentication, and lifecycle management.

3. Data Processing and Analytics: Proficiency in processing and analyzing IoT data streams using Azure services such as Azure Stream Analytics, Azure Functions, and Azure Time Series Insights.

4. Edge Computing: Knowledge of Azure IoT Edge and the ability to deploy, manage, and monitor edge modules for processing data at the edge.

5. Security and Compliance: Understanding of IoT security best practices, including device security, data encryption, identity management, and compliance with industry standards.

Before learning AZ-220 Microsoft Azure IoT Developer, it's beneficial to have a solid understanding of the following skills:

1. Azure Fundamentals: Familiarity with Microsoft Azure services and basic cloud concepts is essential.

2. Programming Languages: Proficiency in programming languages like C#, Python, or Java, as these are commonly used for IoT development.

3. IoT Concepts: Understanding of Internet of Things (IoT) concepts, including device connectivity, data ingestion, edge computing, and device management.

4. Networking: Knowledge of networking fundamentals, including TCP/IP, DNS, HTTP, and MQTT protocols used in IoT communication.

5. Security: Awareness of security principles and practices, especially related to IoT security, including encryption, authentication, and access control.

By learning AZ-220 Microsoft Azure IoT Developer, you gain a comprehensive set of skills related to developing and implementing IoT solutions using Microsoft Azure technologies. Some of the key skills you acquire include:

1. IoT Solution Development: Ability to design, develop, and implement end-to-end IoT solutions using Azure IoT services and tools.

2. Device Management: Proficiency in managing IoT devices securely, including device provisioning, registration, authentication, and lifecycle management.

3. Data Processing and Analytics: Skill in processing and analyzing large volumes of IoT data streams using Azure services such as Azure Stream Analytics, Azure Functions, and Azure Time Series Insights.

4. Edge Computing: Understanding of Azure IoT Edge and the capability to deploy, manage, and monitor edge modules for processing data at the edge of the network.

5. Security and Compliance: Knowledge of IoT security best practices, including device security, data encryption, identity management, and compliance with regulatory standards such as GDPR.