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Question # 4

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

NOTE: Each correct selection is worth one point.

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Question # 5

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

NOTE: Each correct selection is worth one point.

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Question # 6

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?

A.

Azure Bot Service

B.

Language Understanding

C.

Text Analytics

D.

QnA Maker

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Question # 7

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?

A.

conversational Al

B.

anomaly detection

C.

natural language processing

D.

computer vision

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Question # 8

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

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Question # 9

In which two scenarios can you use speech recognition? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

an in-car system that reads text messages aloud

B.

providing closed captions for recorded or live videos

C.

creating an automated public address system for a train station

D.

creating a transcript of a telephone call or meeting

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Question # 10

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?

A.

entity recognition

B.

key phrase extraction

C.

sentiment analysis

D.

language detection

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Question # 11

Match the types of natural languages processing workloads to the appropriate scenarios.

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

NOTE: Each correct selection is worth one point.

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Question # 12

You use natural language processing to process text from a Microsoft news story.

You receive the output shown in the following exhibit.

Which type of natural languages processing was performed?

A.

entity recognition

B.

key phrase extraction

C.

sentiment analysis

D.

translation

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Question # 13

You are developing a natural language processing solution in Azure. The solution will analyze customer reviews and determine how positive or negative each review is.

This is an example of which type of natural language processing workload?

A.

language detection

B.

sentiment analysis

C.

key phrase extraction

D.

entity recognition

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Question # 14

In which two scenarios can you use a speech synthesis solution? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

an automated voice that reads back a credit card number entered into a telephone by using a numeric keypad

B.

generating live captions for a news broadcast

C.

extracting key phrases from the audio recording of a meeting

D.

an Al character in a computer game that speaks audibly to a player

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Question # 15

Your company is exploring the use of voice recognition technologies in its smart home devices. The company wants to identify any barriers that might unintentionally leave out specific user groups.

This an example of which Microsoft guiding principle for responsible AI?

A.

accountability

B.

fairness

C.

inclusiveness

D.

privacy and security

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Question # 16

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

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Question # 17

Match the types of AI workloads to the appropriate scenarios.

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

NOTE: Each correct selection is worth one point.

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Question # 18

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

NOTE: Each correct selection is worth one point.

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Question # 19

You are building a Language Understanding model for an e-commerce business.

You need to ensure that the model detects when utterances are outside the intended scope of the model.

What should you do?

A.

Test the model by using new utterances

B.

Add utterances to the None intent

C.

Create a prebuilt task entity

D.

Create a new model

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Question # 20

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

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Question # 21

You plan to deploy an Azure Machine Learning model as a service that will be used by client applications.

Which three processes should you perform in sequence before you deploy the model? To answer, move the appropriate processes from the list of processes to the answer area and arrange them in the correct order.

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Question # 22

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

NOTE: Each correct selection is worth one point.

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Question # 23

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

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Question # 24

When you design an AI system to assess whether loans should be approved, the factors used to make the decision should be explainable.

This is an example of which Microsoft guiding principle for responsible AI?

A.

transparency

B.

inclusiveness

C.

fairness

D.

privacy and security

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Question # 25

You are building an AI-based app.

You need to ensure that the app uses the principles for responsible AI.

Which two principles should you follow? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

A.

Implement an Agile software development methodology

B.

Implement a process of Al model validation as part of the software review process

C.

Establish a risk governance committee that includes members of the legal team, members of the risk management team, and a privacy officer

D.

Prevent the disclosure of the use of Al-based algorithms for automated decision making

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Question # 26

For a machine learning progress, how should you split data for training and evaluation?

A.

Use features for training and labels for evaluation.

B.

Randomly split the data into rows for training and rows for evaluation.

C.

Use labels for training and features for evaluation.

D.

Randomly split the data into columns for training and columns for evaluation.

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Question # 27

Match the principles of responsible AI to appropriate requirements.

To answer, drag the appropriate principles from the column on the left to its requirement on the right. Each principle may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

NOTE: Each correct selection is worth one point.

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Question # 28

You run a charity event that involves posting photos of people wearing sunglasses on Twitter.

You need to ensure that you only retweet photos that meet the following requirements:

Include one or more faces.

Contain at least one person wearing sunglasses.

What should you use to analyze the images?

A.

the Verify operation in the Face service

B.

the Detect operation in the Face service

C.

the Describe Image operation in the Computer Vision service

D.

the Analyze Image operation in the Computer Vision service

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Question # 29

You build a machine learning model by using the automated machine learning user interface (UI).

You need to ensure that the model meets the Microsoft transparency principle for responsible AI.

What should you do?

A.

Set Validation type to Auto.

B.

Enable Explain best model.

C.

Set Primary metric to accuracy.

D.

Set Max concurrent iterations to 0.

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Question # 30

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

NOTE: Each correct selection is worth one point.

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Question # 31

You are designing an AI system that empowers everyone, including people who have hearing, visual, and other impairments.

This is an example of which Microsoft guiding principle for responsible AI?

A.

fairness

B.

inclusiveness

C.

reliability and safety

D.

accountability

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Question # 32

What are three Microsoft guiding principles for responsible AI? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

knowledgeability

B.

decisiveness

C.

inclusiveness

D.

fairness

E.

opinionatedness

F.

reliability and safety

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Question # 33

What are two metrics that you can use to evaluate a regression model? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

coefficient of determination (R2)

B.

F1 score

C.

root mean squared error (RMSE)

D.

area under curve (AUC)

E.

balanced accuracy

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Question # 34

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

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Question # 35

Match the types of machine learning to the appropriate scenarios.

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

NOTE: Each correct selection is worth one point.

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Question # 36

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

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Question # 37

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

NOTE: Each correct selection is worth one point.

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Question # 38

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

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Question # 39

You have the Predicted vs. True chart shown in the following exhibit.

Which type of model is the chart used to evaluate?

A.

classification

B.

regression

C.

clustering

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Question # 40

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

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Question # 41

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

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Question # 42

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

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Question # 43

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

NOTE: Each correct selection is worth one point.

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Question # 44

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

NOTE: Each correct selection is worth one point.

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Question # 45

Which metric can you use to evaluate a classification model?

A.

true positive rate

B.

mean absolute error (MAE)

C.

coefficient of determination (R2)

D.

root mean squared error (RMSE)

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Question # 46

Which type of machine learning should you use to predict the number of gift cards that will be sold next month?

A.

classification

B.

regression

C.

clustering

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Question # 47

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

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Question # 48

When training a model, why should you randomly split the rows into separate subsets?

A.

to train the model twice to attain better accuracy

B.

to train multiple models simultaneously to attain better performance

C.

to test the model by using data that was not used to train the model

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Question # 49

You need to use Azure Machine Learning designer to build a model that will predict automobile prices.

Which type of modules should you use to complete the model? To answer, drag the appropriate modules to the correct locations. Each module may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

NOTE: Each correct selection is worth one point.

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Question # 50

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

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Question # 51

You send an image to a Computer Vision API and receive back the annotated image shown in the exhibit.

Which type of computer vision was used?

A.

object detection

B.

semantic segmentation

C.

optical character recognition (OCR)

D.

image classification

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Question # 52

Match the facial recognition tasks to the appropriate questions.

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

NOTE: Each correct selection is worth one point.

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Question # 53

You need to build an image tagging solution for social media that tags images of your friends automatically. Which Azure Cognitive Services service should you use?

A.

Computer Vision

B.

Face

C.

Text Analytics

D.

Form Recognizer

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Question # 54

You are processing photos of runners in a race.

You need to read the numbers on the runners’ shirts to identity the runners in the photos.

Which type of computer vision should you use?

A.

facial recognition

B.

optical character recognition (OCR)

C.

semantic segmentation

D.

object detection

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Question # 55

Match the types of computer vision to the appropriate scenarios.

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

NOTE: Each correct selection is worth one point.

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Question # 56

What are two tasks that can be performed by using the Computer Vision service? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

Train a custom image classification model.

B.

Detect faces in an image.

C.

Recognize handwritten text.

D.

Translate the text in an image between languages.

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Question # 57

In which two scenarios can you use the Form Recognizer service? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

Extract the invoice number from an invoice.

B.

Translate a form from French to English.

C.

Find image of product in a catalog.

D.

Identity the retailer from a receipt.

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Question # 58

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

NOTE: Each correct selection is worth one point.

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Question # 59

What are two tasks that can be performed by using computer vision? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

Predict stock prices.

B.

Detect brands in an image.

C.

Detect the color scheme in an image

D.

Translate text between languages.

E.

Extract key phrases.

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Question # 60

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

NOTE: Each correct selection is worth one point.

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Question # 61

You need to determine the location of cars in an image so that you can estimate the distance between the cars.

Which type of computer vision should you use?

A.

optical character recognition (OCR)

B.

object detection

C.

image classification

D.

face detection

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Question # 62

Your company wants to build a recycling machine for bottles. The recycling machine must automatically identify bottles of the correct shape and reject all other items.

Which type of AI workload should the company use?

A.

anomaly detection

B.

conversational AI

C.

computer vision

D.

natural language processing

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Question # 63

Match the types of machine learning to the appropriate scenarios.

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

NOTE: Each correct selection is worth one point.

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Question # 64

You need to develop a mobile app for employees to scan and store their expenses while travelling.

Which type of computer vision should you use?

A.

semantic segmentation

B.

image classification

C.

object detection

D.

optical character recognition (OCR)

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Question # 65

You need to reduce the load on telephone operators by implementing a Chabot to answer simple questions with predefined answers.

Which two Al services should you use to achieve the goal? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

A.

Azure 8ol Service

B.

Azure Machine Learning

C.

Translator

D.

Language Service

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Question # 66

Which two languages can you use to write custom code for Azure Machine Learning designer? Each correct answer presents a complete solution.

NOTE; Each correct selection is worth one point.

A.

C#

B.

Scala

C.

Python

D.

R

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Question # 67

Your company manufactures widgets.

You have 1.000 digital photos of the widgets.

You need to identify the location of the widgets within the photos.

What should you use?

A.

Computer Vision Spatial Analysis

B.

Custom Vision object detection

C.

Custom Vision classification

D.

Computer Vision Image Analysis

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Question # 68

Select the answer that correctly completes the sentence.

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Question # 69

What should you implement to identify hateful responses returned by a generative Al solution?

A.

prompt engineering

B.

abuse monitoring

C.

content filtering

D.

fine-tuning

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Question # 70

What is an example of unsupervised machine learning?

A.

classification

B.

clustering

C.

regression

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Question # 71

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

NOTE: Each correct selection is worth one point.

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Question # 72

What should you use to extract details from scanned images of contracts?

A.

Azure Al Document Intelligence

B.

Azure Al Immersive Reader

C.

Azure OpenAI

D.

Azure Al Search

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Question # 73

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

NOTE; Each correct selection is worth one point.

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Question # 74

Select the answer that correctly completes the sentence.

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Question # 75

You have a webchat bot that provides responses from a QnA Maker knowledge base.

You need to ensure that the bot uses user feedback to improve the relevance of the responses over time.

What should you use?

A.

key phrase extraction

B.

sentiment analysis

C.

business logic

D.

active learning

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Question # 76

What is a use case for classification?

A.

predicting how many cups of coffee a person will drink based on how many hours the person slept the previous night.

B.

analyzing the contents of images and grouping images that have similar colors

C.

predicting whether someone uses a bicycle to travel to work based on the distance from home to work

D.

predicting how many minutes it will take someone to run a race based on past race times

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Question # 77

You have a database that contains a list of employees and their photos.

You are tagging new photos of the employees.

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

NOTE: Each correct selection is worth one point.

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Question # 78

You need to build an app that will identify celebrities in images.

Which service should you use?

A.

Azure OpenAI Service

B.

Azure Machine Learning

C.

conversational language understanding (CLU)

D.

Azure Al Vision

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Question # 79

You plan to build a conversational Al solution that can be surfaced in Microsoft Teams. Microsoft Cortana, and Amazon Alexa. Which service should you use?

A.

Azure Bot Service

B.

Azure Cognitive Search

C.

Language service

D.

Speech

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Question # 80

Select the answer that correctly completes the sentence.

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Question # 81

You need to provide content for a business chatbot that will help answer simple user queries.

What are three ways to create question and answer text by using QnA Maker? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

Generate the questions and answers from an existing webpage.

B.

Use automated machine learning to train a model based on a file that contains the questions.

C.

Manually enter the questions and answers.

D.

Connect the bot to the Cortana channel and ask questions by using Cortana.

E.

Import chit-chat content from a predefined data source.

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Question # 82

Select the .

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Question # 83

You need to convert receipts into transactions in a spreadsheet. The spreadsheet must include the date of the transaction, the merchant the total spent and any taxes paid.

Which Azure Al service should you use?

A.

Face

B.

Azure Al Language

C.

Azure Al Document Intelligence

D.

Azure Al Custom Vision

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Question # 84

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.

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Question # 85

You need to make the press releases of your company available in a range of languages.

Which service should you use?

A.

Translator Text

B.

Text Analytics

C.

Speech

D.

Language Understanding (LUIS)

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