Developing for the Cloud (AZ-300T06-A)

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Administrateurs, Administrateurs de bases de données, Administrateurs de Cloud, Administrateurs de data warehouse, Administrateurs Linux, Administrateurs systèmes, Administrateurs systèmes et réseaux, Administrators

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1,00 Tag(e)

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Learn how to configure a message-based integration architecture, develop for asynchronous processing, create apps for autoscaling, and better understand Azure Cognitive Services solutions.

How to configure a message-based integration architecture
Understand how to Develop for Asynchronous Processing
Begin creating apps for Autoscaling
Understand Azure Cognitive Services Solutions

Inhalt

Module 1: Developing Long-Running Tasks and Distributed Transactions

Lessons
- Implementing large-scale, parallel, and high-performance apps using batches
- HPC using Microsoft Azure Virtual Machines
- Implementing resilient apps by using queues As well as, implementing code to address application events by using webhooks. Implementing a webhook gives an external resource a URL for an application
- The external resource then issues an HTTP request to that URL whenever a change is made that requires the application to take an action

Module 2: Configuring a Message-Based Integration Architecture

Lessons
- Configure an app or service to send emails
- Configure an event publish and subscribe model
- Configure the Azure Relay service
- Configure apps and services with Microsoft Graph
After completing this module, students will be able to:
- How to configure a message-based integration architecture

Module 3: Developing for Asynchronous Processing

Lessons
- Implement parallelism, multithreading, and processing
- Implement Azure Functions and Azure Logic Apps
- Implement interfaces for storage or data access
- Implement appropriate asynchronous computing models
- Implement autoscaling rules and patterns
After completing this module, students will be able to:
- Understand how to Develop for Asynchronous Processing

Module 4: Developing for Autoscaling

Lessons
- Implementing autoscaling rules and patterns
- Implementing code that addresses singleton application instances
- Implementing code that addresses a transient state
After completing this module, students will be able to:
- Begin creating apps for Autoscaling

Module 5: Developing Azure Cognitive Services Solutions

Lessons
- Developing Solutions using Computer Vision
- Developing solutions using Bing Web Search
- Developing solutions using Custom Speech Service
- Developing solutions using QnA Maker
After completing this module, students will be able to:
- Understand Azure Cognitive Services Solutions

Module 6: Develop for Azure Storage

Lessons
- Develop Solutions that use Azure Cosmos DB Storage
- Develop Solutions that use a Relational Database
- Modeling a Database by using Entity Framework Core
- Develop Solutions that use Microsoft Azure Blob Storage
- Manipulating Blob Container Properties in.NET
After completing this module, students will be able to:
- Understand Azure Storage services such as blobs andCosmos DB