Azure Developer - Developing Advanced Solutions Certification Exam AZ-201 Bundle

IMPORTANT: As of May 2019, you should know that both of the following exams have been retired and replaced with the new combined Exam AZ-203: Developing Solutions for Microsoft Azure.

• Exam AZ-200: Microsoft Azure Developer Core Solutions (Retired May 2019)
• Exam AZ-201: Microsoft Azure Developer Advanced Solutions (Retired May 2019)

Therefore, we recommend you to check out our newest version of this course: Please click, tap on, or use this link to view course 20300 or AZ-203: Developing Solutions for Microsoft Azure Training Package for more details.

This Azure Certification Bundle Exam AZ-201 has the following courses in a three day week. See the course numbers listed below

• DE 20101 AZ-201T01: Develop for an Azure Cloud Model
• DE 20102 AZ-201T02: Implement Azure Development Integration Solutions
• DE 20103 AZ-201T03: Develop Azure Cognitive Services, Bot, and IoT Solutions

About this Course

This 4 day trainer led workshop will help the student measure his/her ability to accomplish the technical tasks listed below:

• Select the appropriate cloud technology solution (15-20%)
• Develop for cloud storage (30-35%)
• Create Platform as a Service (PaaS) Solutions (35-40%)
• Secure cloud solutions (15-20%)

This course will prepare you for the newly launched Microsoft’s Azure Developer certification exam: AZ-203 which is a combination of AZ-200: Microsoft Azure Developer Core Solutions and AZ-201: Microsoft Azure Developer Advanced Solutions. The coursewares cover Azure architecture, Azure technology development solutions, Azure storage services and solutions, Azure Cognitive Services such as Computer Vision, QnA Maker, and natural language processing, Azure service solutions, security solutions, API management services, and much more.

Please note that the training for syllabus of AZ-200: Microsoft Azure Developer Core Solutions training will be available as live virtual classroom and that of AZ-201: Microsoft Azure Developer Advanced Solutions will be online self-paced learning.

Who should take this course

The online Microsoft Certified Associate: Azure Developer course is ideal for experienced programmers who wish to develop and host solutions in Azure. Learners should be familiar with designing and building cloud solutions.

After completing this course, students will be able to:

• Learn to develop for asynchronous processing and how to implement the appropriate asynchronous compute model.
• Implement autoscaling in your solution and implement code that addresses transient state.
• Discover how to implement large-scale, parallel and high-performance apps by using batches.
• Learn to implement, and manage, distributed transactions.
• Configure instrumentation in an app or service by using Application Insights and other tools.
• 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.
• Configure an app or service to send email
• Develop an application message model including message schema and message exchange.
• Create an event model, topics, and subscriptions
• 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.
• Leverage Bing Search in your application.
• Create and register simple bot using the Bot Framework, and manage a bot using the Azure Portal.
• 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.

Course Outline

DE 20101 AZ-201T01: Develop for an Azure Cloud Model

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 Outline

DE 20102 AZ-201T02: Implement Azure Development Integration Solutions

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 an Azure Notification Hub
• Create and configure an Azure Event hub
• Create and configure an Azure 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 Outline

DE 20103 AZ-201T03: Develop Azure Cognitive Services, Bot, and IoT Solutions

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