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Microsoft AI-102 Exam Dumps

Exam Name: Designing and Implementing a Microsoft Azure AI Solution
Certification Name: Azure AI Engineer Associate AI-102 - Designing and Implementing a Microsoft Azure AI Solution

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  • Total Questions: 232
  • Last Updation Date: 8-Sep-2023

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You plan to build a chatbot to support task tracking.
You create a Conversational Language Understanding service named Iu1.
You need to build a Conversational Language Understanding model to Integrate into the
chatbot. The solution must minimize development time to build the model.
Which four actions should you perform In sequence? To answer, move the appropriate
actions from the list of actions to the answer area and arrange them in the correct order.





You are developing the chatbot.
You create the following components:
* A QnA Maker resource
* A chatbot by using the Azure Bot Framework SDK.
You need to integrate the components to meet the chatbot requirements.
Which property should you use?

 

 

QnADialogResponseOptions.CardNoMatchText

 

Qna MakerOptions-ScoreThreshold

 

Qna Maker Op t ions StrickFilters

 

QnaMakerOptions.RankerType


QnaMakerOptions.RankerType


Explanation:
Scenario: When the response confidence score is low, ensure that the chatbot can provide
other response options to the customers.
When no good match is found by the ranker, the confidence score of 0.0 or "None" is
returned and the default response is "No good match found in the KB". You can override
this default response in the bot or application code calling the endpoint. Alternately, you
can also set the override response in Azure and this changes the default for all knowledge
bases deployed in a particular QnA Maker service.
Choosing Ranker type: By default, QnA Maker searches through questions and answers. If
you want to search through questions only, to generate an answer, use the
RankerType=QuestionOnly in the POST body of the GenerateAnswer request.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/concepts/bestpractices





You are building a chatbot that will provide information to users as shown in the following
exhibit.



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