Overview:

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

Duration

01 day

Course Objectives

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

Intended Audience

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

Prerequisites:

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

Course outlines:

1.      Module 1: Developing Long-Running Tasks and Distributed Transactions

Topics for this module include:

• 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.

2.      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

3.      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

4.      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

5.      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

6.      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 and Cosmos DB