Learn how to configure a message-based integration architecture, develop for asynchronous processing, create apps for autoscaling, and better understand Azure Cognitive Services solutions.
Cui se adresează:
Successful Cloud Solutions Architects begin this role with practical experience with operating systems, virtualization, cloud infrastructure, storage structures, billing, and networking.
Competențe dobândite:
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
Prețul include:
Suportul de curs oficial Microsoft în format electronic și diplomă Microsoft, recunoscută internațional.
Discount de volum:
Se acordă discount-uri negociabile de volum. Solicită oferta specială pentru compania ta!
Model diplomă:
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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
• 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
• 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 configure a message-based integration architecture -
Module 3: Developing for Asynchronous Processing
• 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
• 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
• 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