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Microsoft AI-900 Based on Real Exam Environment

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Question 56

You have insurance claim reports that are stored as text.

You need to extract key terms from the reports to generate summaries.

Which type of Al workload should you use?

Options:

A.

conversational Al

B.

anomaly detection

C.

natural language processing

D.

computer vision

Question 57

You plan to apply Text Analytics API features to a technical support ticketing system.

Match the Text Analytics API features to the appropriate natural language processing scenarios.

To answer, drag the appropriate feature from the column on the left to its scenario on the right. Each feature may be used once, more than once, or not at all.

NOTE: Each correct selection is worth one point.

Options:

Question 58

You are developing a solution that uses the Text Analytics service.

You need to identify the main talking points in a collection of documents.

Which type of natural language processing should you use?

Options:

A.

entity recognition

B.

key phrase extraction

C.

sentiment analysis

D.

language detection

Question 59

You need to develop a chatbot for a website. The chatbot must answer users’ questions based on the information in the following documents:

  • A product troubleshooting guide in a Microsoft Word document
  • A frequently asked questions (FAQ) list on a webpage

Which service should you use to process the documents?

Options:

A.

Azure Bot Service

B.

Language Understanding

C.

Text Analytics

D.

QnA Maker

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Exam Code: AI-900
Exam Name: Microsoft Azure AI Fundamentals
Last Update: May 16, 2024
Questions: 241
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