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NEW QUESTION: 1
What is the purpose of the VPM-XML file?
A. It stores the policy statements that are generated from the VPM.
B. It stores the visual state of the VPM user interface.
C. It allows the administrator to use the VPM from any XML-capable web browser without accessing the Management Console.
Answer: A

NEW QUESTION: 2
모바일 배달 서비스를 위한 소프트웨어 솔루션을 개발합니다. 사용자가 자신의 지역에있는 레스토랑에서 주문할 수 있는 모바일 앱을 개발 중입니다. 앱은 다음 워크 플로를 사용합니다.
1. 운전자가 명령을 배달 할 레스토랑을 선택합니다.
2. 주문은 지역의 사용 가능한 모든 드라이버에게 전송됩니다.
3. 선택한 레스토랑의 주문 만 드라이버에 표시됩니다.
4. 주문을 수락하는 첫 번째 드라이버는 사용 가능한 주문 목록에서 해당 주문을 제거합니다.
Azure Service Bus 솔루션을 구현해야 합니다.
어떤 행동을 순서대로 수행해야 합니까? 답변을 얻으려면 적절한 작업을 작업 목록에서 대답 영역으로 옮기고 올바른 순서로 정렬하십시오.

Answer:
Explanation:

1 - Create a single Service Bus Namespace.
2 - Create a Service Bus topic for each restaurant for which a driver can receive message.
3 - Create a Bus subscription for each restaurant for which a driver can receive orders.
Explanation:
Box 1: Create a single Service Bus Namespace
To begin using Service Bus messaging entities in Azure, you must first create a namespace with a name that is unique across Azure. A namespace provides a scoping container for addressing Service Bus resources within your application.
Box 2: Create a Service Bus Topic for each restaurant for which a driver can receive messages.
Create topics.
Box 3: Create a Service Bus subscription for each restaurant for which a driver can receive orders.
Topics can have multiple, independent subscriptions.
References:
https://docs.microsoft.com/en-us/azure/service-bus-messaging/service-bus-messaging-overview

NEW QUESTION: 3
You need to measure the public perception of your brand on social media messages. Which Azure Cognitive Services service should you use?
A. Text Analytics
B. Computer Vision
C. Form Recognizer
D. Content Moderator
Answer: A
Explanation:
Text Analytics Cognitive Service could be used to quickly determine the public perception for a specific topic, event or brand.
Example: A NodeJS app which pulls Tweets from Twitter using the Twitter API based on a specified search term. Then pass these onto Text Analytics for sentiment scoring before storing the data and building a visualisation in PowerBI. The Architecture looked something like this:

Reference:
https://www.linkedin.com/pulse/measuring-public-perception-azure-cognitive-services-steve-dalai