Ex AZ-201: Azure Developer, Advanced Solutions cert prep Three Pack aligned to Azure Exam AZ-201: Azure Developer, Advanced Solutions

Three Pack aligned to Azure Exam AZ-201: Azure Developer, Advanced Solutions

This three packaged set aligned to Azure Exam: Azure Developer, Advanced Solutions contains courseware that helps prepare students for Exams AZ-201. Passing this exam is required to earn the Azure Developer, Advanced Solutions certification. Courses in this packaged set: Course AZ-201T01: Develop for an Azure Cloud Model. Course AZ-201T02: Implement Azure Development Integration Solutions. Course AZ-201T03: Develop Azure Cognitive Services, Bot, and IoT Solutions.

This three packaged set aligned to Azure Exam: Azure Developer, Advanced Solutions contains the following:

This packaged set provides students with the key knowledge to help prepare for Exam AZ-201.


Contenido de los cursos

Course AZ-201T01: Develop for an Azure Cloud Model

    This course is part of a series of four courses to help you prepare for Microsoft’s Azure Developer certification exam AZ-201: Develop Advanced Microsoft Azure Cloud Solutions. These courses are designed for developers who already know how to code in at least one of the Azure-supported languages.

    The coursework covers how to ensure you solution meets performance expectations in Azure. It covers asynchronous processing, autoscaling, long-running tasks, and distributed transactions. Additionally, you’ll learn how to leverage Azure Search for textual content, and how to implement instrumentation and logging in your development solution.

    Course Outline

    Module 1: Develop 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

    After completing this module, students will be able to:

    • Learn to develop for asynchronous processing and how to implement the appropriate asynchronous compute model. 

    Module 2: Develop for autoscaling

    Lessons

    • Implement autoscaling rules and patterns
    • Implement code that addresses singleton application instances
    • Implement code that addresses a transient state

    After completing this module, students will be able to:

    • Implement autoscaling in your solution and implement code that addresses transient state.

    Module 3: Develop long-running tasks

    Lessons

    • Implement large scale parallel and high-performance apps by using batches
    • Implement resilient apps by using queues
    • Implement code to address aplication events by using webhooks
    • Address continuous processing tasks by using Azure WebJobs

    After completing this module, students will be able to:

    • Discover how to implement large-scale, parallel and high-performance apps by using batches.

    Module 4: Implement distributed transactions

    Lessons

    • Identify tools to implement distributed transactions
    • Manage the transaction scope
    • Manage transactions across multiple databases and servers

    After completing this module, students will be able to:

    • Learn to implement, and manage, distributed transactions.

    Module 5: Enable the search of textual content

    Lessons

    • Create an Azure Search index
    • Import searchable data
    • Query the Azure Search index by using code

    Module 6: Instrument an app or service and implement logging

    Lessons

    • Configure instrumentation in an app or service
    • Configure the logging service

         

        Course AZ-201T02: Implement Azure Development Integration Solutions

        This course is part of a series of four courses to help you prepare for Microsoft’s Azure Developer certification exam AZ-201: Develop Advanced Microsoft Azure Cloud Solutions. These courses are designed for developers who already know how to code in at least one of the Azure-supported languages.
        The coursework covers how to integrate and manage APIs by using the API Management service, configure a message-based integration architecture, and develop an application message model.

        Course Outline

        Module 1: Manage APIs by using API Management

        Lessons

        • Analyze recommendations in Security Center
        • Create an API Management instance
        • Configure authentication for APIs
        • Create an API gateway
        • Define policies for APIs

        After completing this course, students will be able to:

        • Manage APIs by using API Management (APIM)
        • Create an APIM instance, configure authentication for APIs, create an API gateway, and define policies for APIs
        • Configure a message-based integration architecture by using the services included in Azure.

        Module 2: Configure 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
        • Create and configure a notification hub
        • Create and configure an evnt hub
        • Create and configure a service bus
        • Configure an app or service with Microsoft Graph

        After completing this course, students will be able to:

        • Configure an app or service to send email
        • Create an event model, topics, and subscriptions

        Module 3: Develop an application message model

        Lessons

        • Create an event model
        • Create topics and subscriptions

        After completing this course, students will be able to:

        • Develop an application message model including message schema and message exchange.


            Course AZ-201T03: Develop Azure Cognitive Services, Bot, and IoT Solutions

            This course is part of a series of four courses to help you prepare for Microsoft’s Azure Developer certification exam AZ-201: Develop Advanced Microsoft Azure Cloud Solutions. These courses are designed for developers who already know how to code in at least one of the Azure-supported languages.
            The coursework covers how to integrate Azure Cognitive Services, like Computer Vision, QnA Maker, and natural language processing in your solution. You’ll also learn how to create and manage bots using the Bot Framework and Azure portal. The course also covers leveraging Azure Time Series Insights, Stream Analytics and the IoT Hub for your IoT solution.

            Course Outline

            Module 1: Develop Azure Cognitive Services solutions

            Lessons

            • Cognitive Services overview
            • Develop solutions using Computer Vision
            • Develop solutins using Bing Web Search
            • Develop solutions using Custom Speech Service
            • Develop solutions using QnA Maker

            After completing this module, students will be able to:

            • Learn to develop solutions using Computer Vision.
            • Use speech services and natural language processing in your app.
            • Create and manage dictionaries for FAQ generation by using QnA maker.

            Module 2: Create and intergrate bots

            Lessons

            • Azure Bot Service overview
            • Create a bot using the Bot Builder SDK for .NET
            • Using Language Understanding in your bot
            • Register a bot with Bot Service
            • Managing a bot using the Azure Portal

            After completing this module, students will be able to:

            • Leverage Bing Search in your application.
            • Create and register simple bot using the Bot Framework, and manage a bot using the Azure Portal.

            Module 3: Create and implement IoT solutions

            Lessons

            • Working with the Azure IoT Hub
            • Working with Azure Time Series Insights
            • Working with Azure Stream Analytics

            After completing this module, students will be able to:

            • Configure Azure Time Series Insights for your IoT solution.
            • Configure the Stream Analytics Service for inputs and outputs for your IoT device
            • Register your device with the IoT Hub Device Provisioning Service

                 

                  €1,115.00