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Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q379-Q384):

NEW QUESTION # 379
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it as a result, these questions will not appear in the review screen.
You are building a chatbot that will use question answering in Azure Cognitive Service for Language.
You upload Doc1.pdf and train that contains a product catalogue and a price list.
During testing, users report that the chatbot responds correctly to the following question: What is the price of
<product>?
The chatbot fails to respond to the following question: How much does <product> cost?
You need to ensure that the chatbot responds correctly to both questions.
Solution: from Language Studio, you create an entity for price, and then retrain and republish the model.
Does this meet the goal?

A. No
B. Yes

Answer: A

NEW QUESTION # 380
Select the answer that correctly completes the sentence.

Answer:

Explanation:

Explanation

NEW QUESTION # 381
Drag and Drop Question
You have a chatbot that uses a QnA Maker application.
You enable active learning for the knowledge base used by the QnA Maker application.
You need to integrate user input into 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.

Answer:

Explanation:

Explanation:
Step 1: For the knowledge base, select Show active learning suggestions. In order to see the suggested questions, on the Edit knowledge base page, select View Options, then select Show active learning suggestions.
Step 2: Approve and reject suggestions.
Each QnA pair suggests the new question alternatives with a check mark, , to accept the question or an x to reject the suggestions. Select the check mark to add the question.
Step 3: Save and train the knowledge base.
Select Save and Train to save the changes to the knowledge base.
Step 4: Publish the knowledge base.
Select Publish to allow the changes to be available from the GenerateAnswer API.
When 5 or more similar queries are clustered, every 30 minutes, QnA Maker suggests the alternate questions for you to accept or reject.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/how-to/improve-knowledge-base

NEW QUESTION # 382
You have data saved in the following format.

Which format was used?

A. HTML
B. YAML
C. CSV
D. JSON

Answer: C

NEW QUESTION # 383
You have an Azure subscription that contains an Azure OpenA1 resource named All.
You plan to develop a console app that will answer user questions.
You need to call All and output the results to the console.
How should you complete the code? To answer, select the appropriate options in the answer area NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 384
......

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