Introduzione

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

Successful Cloud Solutions Architects begin this role with practical experience with operating systems, virtualization, cloud infrastructure, storage structures, billing, and networking.

Obiettivi del corso

After completing this course, students will be able to:

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

Prerequisiti

Prior to taking this course, it is recommended that you have passed the Azure Administrator (AZ-103) exam.

Struttura del Corso

MODULE 1: Developing Long-Running Tasks and Distributed Transactions

Lessons

After completing this module, students will be able to:

Implemente large-scale, parallel, and high-performance apps using batches 

HPC using Microsoft Azure Virtual Machines 

Implement resilient apps by using queues As well as, implementing code to address application events by using webhooks

Implement 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

After completing this module, students will be able to:

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

MODULE 3: Developing for Asynchronous Processing

Lessons

After completing this module, students will be able to:

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

MODULE 4: Developing for Autoscaling

Lessons

After completing this module, students will be able to:

Implementing autoscaling rules and patterns

Implementing code that addresses singleton application instances

Implementing code that addresses a transient state

MODULE 5: Developing Azure Cognitive Services Solutions

Lessons

After completing this module, students will be able to:

Developing Solutions using Computer Vision

Developing Solutions using Bing Web Search

Developing Solutions using Custom Speech Service

Developing solutions using QnA Maker 

MODULE 6: Develop for Azure Storage

Lessons

After completing this module, students will be able to:

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