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Course AZ-300T06-A: Developing for the Cloud

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  • Course AZ-300T06-A: Developing for the Cloud
    1 days  (Instructor Led Online)  |  Azure Solutions Architect Expert

    Course Details

    The AZ-300T06-A: Developing for the Cloud course teaches you how to configure a message-based integration architecture, develop for asynchronous processing, create apps for autoscaling, and better understand Azure Cognitive Services solutions.

     

    This course will help you prepare for the AZ-300 exam.

     

    PACKAGE AVAILABLE: Microsoft Azure Architect Technologies

    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

    Outline

    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.

     

    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

    Target Audience

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