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AI-900 Questions and Answers

Question # 6

Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?

A.

Azure Al Custom Vision

B.

Azure Al Document Intelligence

C.

Azure Al Language

D.

Azure Al face

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Question # 7

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

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Question # 8

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

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Question # 9

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

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Question # 10

Which type of machine learning should you use to identify groups of people who have similar purchasing habits?

A.

classification

B.

regression

C.

clustering

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Question # 11

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 # 12

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 # 13

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 # 14

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 # 15

A medical research project uses a large anonymized dataset of brain scan images that are categorized into predefined brain haemorrhage types.

You need to use machine learning to support early detection of the different brain haemorrhage types in the images before the images are reviewed by a person.

This is an example of which type of machine learning?

A.

clustering

B.

regression

C.

classification

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Question # 16

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

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Question # 17

You need to predict the sea level in meters for the next 10 years.

Which type of machine learning should you use?

A.

classification

B.

regression

C.

clustering

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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

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

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Question # 20

You have a dataset that contains information about taxi journeys that occurred during a given period.

You need to train a model to predict the fare of a taxi journey.

What should you use as a feature?

A.

the number of taxi journeys in the dataset

B.

the trip distance of individual taxi journeys

C.

the fare of individual taxi journeys

D.

the trip ID of individual taxi journeys

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Question # 21

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 # 22

You are evaluating whether to use a basic workspace or an enterprise workspace in Azure Machine Learning.

What are two tasks that require an enterprise workspace? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A.

Use a graphical user interface (GUI) to run automated machine learning experiments.

B.

Create a compute instance to use as a workstation.

C.

Use a graphical user interface (GUI) to define and run machine learning experiments from Azure Machine Learning designer.

D.

Create a dataset from a comma-separated value (CSV) file.

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Question # 23

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 # 24

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 # 25

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 # 26

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 # 27

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 # 28

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 # 29

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 # 30

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 # 31

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 # 32

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 # 33

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 # 34

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

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Question # 35

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 # 36

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 # 37

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 # 38

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 # 39

You plan to develop a bot that will enable users to query a knowledge base by using natural language processing.

Which two services should you include in the solution? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

A.

Language Service

B.

Azure Bot Service

C.

Form Recognizer

D.

Anomaly Detector

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Question # 40

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 # 41

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 # 42

You are authoring a Language Understanding (LUIS) application to support a music festival.

You want users to be able to ask questions about scheduled shows, such as: “Which act is playing on the main stage?”

The question “Which act is playing on the main stage?” is an example of which type of element?

A.

an intent

B.

an utterance

C.

a domain

D.

an entity

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Question # 43

In which scenario should you use key phrase extraction?

A.

translating a set of documents from English to German

B.

generating captions for a video based on the audio track

C.

identifying whether reviews of a restaurant are positive or negative

D.

identifying which documents provide information about the same topics

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Question # 44

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 # 45

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 # 46

You need to build an app that will read recipe instructions aloud to support users who have reduced vision.

Which version service should you use?

A.

Text Analytics

B.

Translator Text

C.

Speech

D.

Language Understanding (LUIS)

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Question # 47

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 # 48

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 # 49

Your website has a chatbot to assist customers.

You need to detect when a customer is upset based on what the customer types in the chatbot.

Which type of AI workload should you use?

A.

anomaly detection

B.

semantic segmentation

C.

regression

D.

natural language processing

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Question # 50

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 # 51

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 # 52

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 # 53

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 # 54

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 # 55

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

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Question # 56

You need to scan the news for articles about your customers and alert employees when there is a negative article. Positive articles must be added to a press book.

Which natural language processing tasks should you use to complete the process? To answer, drag the appropriate tasks to the correct locations. Each task 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 # 57

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 # 58

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 # 59

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 # 60

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

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Question # 61

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

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Question # 62

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 # 63

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

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Question # 64

You are building an AI system.

Which task should you include to ensure that the service meets the Microsoft transparency principle for responsible AI?

A.

Ensure that all visuals have an associated text that can be read by a screen reader.

B.

Enable autoscaling to ensure that a service scales based on demand.

C.

Provide documentation to help developers debug code.

D.

Ensure that a training dataset is representative of the population.

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Question # 65

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 # 66

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 # 67

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 # 68

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 # 69

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 # 70

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 # 71

Select the answer that correctly completes the sentence.

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Question # 72

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

A.

QnA Maker

B.

Language Understanding (LUIS)

C.

Text Analytics

D.

Speech

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Question # 73

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 # 74

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

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Question # 75

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 # 76

You have an app that identifies the coordinates of a product in an image of a supermarket shelf.

Which service does the app use?

A.

Azure Al Custom Vision object detection

B.

Azure Al Computer Vision Read

C.

Azure Al Computer Vision optical character recognition (OCR)

D.

Azure Al Custom Vision classification

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Question # 77

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

Match the Azure OpenAI large language model (LLM) process to the appropriate task.

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

NOTE: Each correct match is worth one point.

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Question # 79

Which Azure Al Language feature can be used to retrieve data, such as dates and people's names, from social media posts?

A.

language detection

B.

speech recognition

C.

key phrase extraction

D.

entity recognition

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Question # 80

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 # 81

Which Computer Vision feature can you use to generate automatic captions for digital photographs?

A.

Recognize text.

B.

Describe the images.

C.

Identify the areas of interest.

D.

Detect objects.

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Question # 82

You need to generate images based on user prompts. Which Azure OpenAI model should you use?

A.

GPT-4

B.

DALL-E

C.

GPT-3

D.

Whisper

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