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Question 41

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You have a frequently asked questions (FAQ) PDF file.

You need to create a conversational support system based on the FAQ.

Which service should you use?

QnA Maker
QnA Maker
Text Analytics
Text Analytics
Computer Vision
Computer Vision
Language Understanding (LUIS)
Language Understanding (LUIS)
Suggested answer: A
Explanation:

QnA Maker is a cloud-based API service that lets you create a conversational question-and-answer layer over your existing data. Use it to build a knowledge base by extracting questions and answers from your semi-structured content, including FAQs, manuals, and documents.

Reference:

https://azure.microsoft.com/en-us/services/cognitive-services/qna-maker/

asked 26/09/2024
Mehdi BELGAS
54 questions

Question 42

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You need to reduce the load on telephone operators by implementing a chatbot to answer simple questions with predefined answers. Which two AI service should you use to achieve the goal? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

Text Analytics
Text Analytics
QnA Maker
QnA Maker
Azure Bot Service
Azure Bot Service
Translator Text
Translator Text
Suggested answer: B, C
Explanation:

Bots are a popular way to provide support through multiple communication channels. You can use the QnA Maker service and Azure Bot Service to create a bot that answers user questions.

Reference:

https://docs.microsoft.com/en-us/learn/modules/build-faq-chatbot-qna-maker-azure-bot-service/

asked 26/09/2024
Dustin Roberts
50 questions

Question 43

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Which two scenarios are examples of a conversational AI workload? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

a smart device in the home that responds to questions such as "What will the weather be like today?"
a smart device in the home that responds to questions such as "What will the weather be like today?"
a website that uses a knowledge base to interactively respond to users' questions
a website that uses a knowledge base to interactively respond to users' questions
assembly line machinery that autonomously inserts headlamps into cars
assembly line machinery that autonomously inserts headlamps into cars
monitoring the temperature of machinery to turn on a fan when the temperature reaches a specific threshold
monitoring the temperature of machinery to turn on a fan when the temperature reaches a specific threshold
Suggested answer: A, B
asked 26/09/2024
Russell Ang
39 questions

Question 44

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You have the process shown in the following exhibit.

Microsoft AI-900 image Question 44 84274 09262024174219000000

Which type AI solution is shown in the diagram?

a sentiment analysis solution
a sentiment analysis solution
a chatbot
a chatbot
a machine learning model
a machine learning model
a computer vision application
a computer vision application
Suggested answer: B
asked 26/09/2024
ALOUAT EKRAM
49 questions

Question 45

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You need to develop a web-based AI solution for a customer support system. Users must be able to interact with a web app that will guide them to the best resource or answer. Which service should you use?

Custom Vision
Custom Vision
QnA Maker
QnA Maker
Translator Text
Translator Text
Face
Face
Suggested answer: B
Explanation:

QnA Maker is a cloud-based API service that lets you create a conversational question-and-answer layer over your existing data. Use it to build a knowledge base by extracting questions and answers from your semi-structured content, including FAQs, manuals, and documents. Answer users' questions with the best answers from the QnAs in your knowledge baseÒ€”automatically. Your knowledge base gets smarter, too, as it continually learns from user behavior. Incorrect Answers:

A: Azure Custom Vision is a cognitive service that lets you build, deploy, and improve your own image classifiers. An image classifier is an AI service that applies labels (which represent classes) to images, according to their visual characteristics. Unlike the Computer Vision service, Custom Vision allows you to specify the labels to apply. D: Azure Cognitive Services Face Detection API: At a minimum, each detected face corresponds to a faceRectangle field in the response. This set of pixel coordinates for the left, top, width, and height mark the located face. Using these coordinates, you can get the location of the face and its size. In the API response, faces are listed in size order from largest to smallest.

Reference:

https://azure.microsoft.com/en-us/services/cognitive-services/qna-maker/

asked 26/09/2024
Shady Mohamed Ibrahim
35 questions

Question 46

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Which AI service should you use to create a bot from a frequently asked questions (FAQ) document?

QnA Maker
QnA Maker
Language Understanding (LUIS)
Language Understanding (LUIS)
Text Analytics
Text Analytics
Speech
Speech
Suggested answer: A
asked 26/09/2024
ERIC MERRILL
46 questions

Question 47

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Which scenario is an example of a webchat bot?

Determine whether reviews entered on a website for a concert are positive or negative, and then add a thumbs up or thumbs down emoji to the reviews.
Determine whether reviews entered on a website for a concert are positive or negative, and then add a thumbs up or thumbs down emoji to the reviews.
Translate into English questions entered by customers at a kiosk so that the appropriate person can call the customers back.
Translate into English questions entered by customers at a kiosk so that the appropriate person can call the customers back.
Accept questions through email, and then route the email messages to the correct person based on the content of the message.
Accept questions through email, and then route the email messages to the correct person based on the content of the message.
From a website interface, answer common questions about scheduled events and ticket purchases for a music festival.
From a website interface, answer common questions about scheduled events and ticket purchases for a music festival.
Suggested answer: D
asked 26/09/2024
Filippo Panarella
25 questions

Question 48

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HOTSPOT

You are developing a model to predict events by using classification.

You have a confusion matrix for the model scored on test data as shown in the following exhibit.

Microsoft AI-900 image Question 48 84278 09262024174219000000

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.

NOTE: Each correct selection is worth one point.

Microsoft AI-900 image Question 48 84278 09262024054219000
Correct answer: Microsoft AI-900 image answer Question 48 84278 09262024054219000
Explanation:

Box 1: 11

Microsoft AI-900 image Question 48 explanation 84278 09262024174219000000

TP = True Positive.

The class labels in the training set can take on only two possible values, which we usually refer to as positive or negative. The positive and negative instances that a classifier predicts correctly are called true positives (TP) and true negatives (TN), respectively. Similarly, the incorrectly classified instances are called false positives (FP) and false negatives (FN).

Box 2: 1,033

FN = False Negative

Reference:

https://docs.microsoft.com/en-us/azure/machine-learning/studio/evaluate-model-performance

asked 26/09/2024
ASDASDASDA SDASD
42 questions

Question 49

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HOTSPOT

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

Microsoft AI-900 image Question 49 84279 09262024054219000
Correct answer: Microsoft AI-900 image answer Question 49 84279 09262024054219000
asked 26/09/2024
jose fajardo
38 questions

Question 50

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HOTSPOT

To complete the sentence, select the appropriate option in the answer area.

Microsoft AI-900 image Question 50 84280 09262024054219000
Correct answer: Microsoft AI-900 image answer Question 50 84280 09262024054219000
asked 26/09/2024
Khang Nguyen An
34 questions
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