Cover

Table of Content

  1. Internet of Things (IoT) in Azure
  2. Artificial Intelligence (AI) in Azure
  3. Serverless Computing in Azure
  4. Azure & DevOps
  5. Taking Azure Services
  6. Planning & Managing Azure Costs
  7. Service Level Agreements (SLAs)
  8. Service Lifecycles in Azure
  9. Azure Management Tools (AMT)
  10. Creating & Managing Resources
  11. Creating Resource Groups in Azure
  12. Creating a Storage Account in Azure
  13. Creating a VM in Azure
  14. Creating an SQL Database in Azure 

 

This eBook is based on Azure AZ 900 Exam Guide that has been collected from different sources and people. For more information about this ebook. Kindly write to mamtadevi775304@gmail.com. I will happy to help you.

Copyright 2023 by Mamta Devi

This eBook is a guide and serves as a next part of first guide.
Previous Part Exam AZ 900: Azure Fundamental Study Guide-1 has already been published. This book has been written on the advice of many experts and sources who have good command over Azure cloud services. They are listed at the end of this book.
All images used in this book are taken from the LAB which is created by experts. All rights reserved, including the right to reproduce this book or portions thereof in any form whatsoever. For any query reach out to the author through email.

Internet of Things (IoT) in Azure

The Internet of Things (IoT) is a concept that refers to connected devices equipped with sensors, which gather data and transmit it to a designated endpoint for recording, processing, or other actions. For instance, envision a manufacturing floor where sensors monitor the production process and relay data to a central system that operators and engineers utilize for monitoring and controlling the manufacturing process. Similarly, picture a smart home where appliances like the refrigerator, oven, microwave, lighting systems, garage door, thermostat, and security system all collect and send data to a central application or service, enabling homeowners to monitor and potentially control these systems. Additionally, consider an automobile manufacturer that embeds sensors in its vehicles to monitor performance and sends this data to Azure for real-time analytics. These scenarios exemplify the IoT.

Collecting sensor data is just one facet of IoT. Another critical aspect involves managing and controlling the distributed devices, including tasks such as updating firmware in devices under your management while also collecting data from them. Azure offers several services to facilitate the rapid integration of IoT devices and the deployment of IoT-based solutions. The following sections delve into these services.

Describe Azure IoT Hub

Azure IoT Hub is a service hosted on the Azure platform that serves as a message hub for enabling bidirectional communication between your deployed IoT devices and Azure services. IoT Hub supports multiple protocols and open source software development kits (SDKs), making it compatible with a wide range of IoT devices. Its high scalability means it can seamlessly accommodate billions of devices.

IoT Hub supports various communication and control functions, including:

  1. Device-to-cloud telemetry for data collection.

  2. Device-to-cloud file upload for data transfer.

  3. Request/reply methods for device control from the cloud.

  4. Monitoring.

Importantly, communication with IoT Hub extends beyond the devices and IoT Hub itself, as IoT Hub can route messages received from devices to other Azure services as needed. In essence, IoT Hub acts as the bridge that connects your IoT devices with other Azure services. However, IoT Hub does not offer analysis services or dashboards for monitoring device status or analyzing data. This is where IoT Central comes into play.

About Azure IoT Central

Azure IoT Central builds upon the functions provided by IoT Hub, offering visualization, control, and management features for IoT devices. Through IoT Central's user-friendly interface, you can effortlessly connect new devices, view telemetry data, assess overall device performance, create and manage alerts for timely maintenance notifications, and push updates to devices as required.

Managing a substantial number of individual devices, such as 1,000, can be a challenging endeavor. Scaling to manage millions of devices would be nearly impossible without a simplified means of deployment. IoT Central streamlines this process through device templates. These templates allow you to connect new devices to IoT Central without any coding involved. IoT Central automatically generates the dashboards, alerts, and other visualization and management elements based on the template. All the device needs to do is comply with the device template specifications. Consequently, if you deploy 1,000 Model RG12 Gold Widgets, you can use the corresponding template, which is already configured to connect to and manage those 1,000 devices, all without the need to write a single line of code.

Azure Sphere explanation

Azure Sphere is a comprehensive IoT solution composed of three key components:

  1. Azure Sphere micro-controller units (MCUs): These MCUs are hardware components embedded in IoT devices. They manage the operating system and signals from attached sensors.

  2. Management software: This custom Linux operating system oversees communication with the security service and runs the vendor's device software.

  3. Azure Sphere Security Service (AS3): This Azure service is responsible for certificate-based device authentication to Azure, ensures the device's security has not been compromised, and delivers OS and other software updates to the device as necessary.

While it is possible to construct a complete IoT solution using only IoT Hub and IoT Central, Azure Sphere offers the capability to develop a custom, highly secure IoT solution.

Artificial Intelligence (AI) in Azure

According to Wikipedia, artificial intelligence (AI) is defined as "any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals." In essence, AI systems emulate human intelligence to process extensive data and engage in learning and problem-solving.

AI is generally categorized into two main groups: deep learning and machine learning. Deep learning employs a model inspired by the human brain, enabling the system to discover information, learn, and adapt. Machine learning, on the other hand, is a data science technique that leverages data to train a model, assess its accuracy, and then apply the model to new data. A well-trained model should be capable of accurately predicting behaviors, events, and outcomes based on its analysis of historical data.

Azure provides three services that empower you to harness the capabilities of AI, each of which

Impressum

Verlag: BookRix GmbH & Co. KG

Texte: Mamta Devi
Bildmaterialien: Mamta Devi
Cover: Mamta Devi
Lektorat: Richa Shukla
Korrektorat: Ajay Singh
Übersetzung: Kamta Prasad
Satz: Himesh Pathak
Tag der Veröffentlichung: 04.11.2023
ISBN: 978-3-7554-5990-3

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