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Microsoft AI-900 Dumps

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Total 319 questions

Microsoft Azure AI Fundamentals Questions and Answers

Question 1

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

Which type of machine learning should you use?

Options:

A.

classification

B.

regression

C.

clustering

Question 2

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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Options:

Question 3

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

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Options:

Question 4

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?

Options:

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

Question 5

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

Options:

A.

Azure Al Custom Vision

B.

Azure Al Document Intelligence

C.

Azure Al Language

D.

Azure Al face

Question 6

Which two components can you drag onto a canvas in Azure Machine Learning designer? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

Options:

A.

dataset

B.

co mpute

C.

pipeline

D.

module

Question 7

You are building a tool that will process images from retail stores and identify the products of competitors.

The solution will use a custom model.

Which Azure Cognitive Services service should you use?

Options:

A.

Custom Vision

B.

Form Recognizer

C.

Face

D.

Computer Vision

Question 8

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

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Options:

Question 9

You use Azure Machine Learning designer to publish an inference pipeline.

Which two parameters should you use to consume the pipeline? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

Options:

A.

the model name

B.

the training endpoint

C.

the authentication key

D.

the REST endpoint

Question 10

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

Options:

A.

classification

B.

regression

C.

clustering

Question 11

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

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Options:

Question 12

Which metric can you use to evaluate a classification model?

Options:

A.

true positive rate

B.

mean absolute error (MAE)

C.

coefficient of determination (R2)

D.

root mean squared error (RMSE)

Question 13

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

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Options:

Question 14

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

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Options:

Question 15

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.

Options:

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.

Question 16

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.

Options:

A.

coefficient of determination (R2)

B.

F1 score

C.

root mean squared error (RMSE)

D.

area under curve (AUC)

E.

balanced accuracy

Question 17

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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Options:

Question 18

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

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Options:

Question 19

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

Options:

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

Question 20

What is a use case for classification?

Options:

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

Question 21

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.

Options:

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.

Question 22

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

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Options:

Question 23

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.

Options:

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.

Question 24

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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Options:

Question 25

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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Options:

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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Options:

Question 27

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?

Options:

A.

optical character recognition (OCR)

B.

object detection

C.

image classification

D.

face detection

Question 28

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

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Which type of computer vision was used?

Options:

A.

object detection

B.

semantic segmentation

C.

optical character recognition (OCR)

D.

image classification

Question 29

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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Options:

Question 30

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?

Options:

A.

facial recognition

B.

optical character recognition (OCR)

C.

semantic segmentation

D.

object detection

Question 31

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?

Options:

A.

semantic segmentation

B.

image classification

C.

object detection

D.

optical character recognition (OCR)

Question 32

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?

Options:

A.

anomaly detection

B.

conversational AI

C.

computer vision

D.

natural language processing

Question 33

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.

Options:

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.

Question 34

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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Options:

Question 35

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?

Options:

A.

Computer Vision

B.

Face

C.

Text Analytics

D.

Form Recognizer

Question 36

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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Options:

Question 37

You have a custom question answering solution.

You create a bot that uses the knowledge base to respond to customer requests. You need to identify what the bot can perform without adding additional skills. What should you identify?

Options:

A.

Register customer complaints.

B.

Answer questions from multiple users simultaneously.

C.

Register customer purchases.

D.

Provide customers with return materials authorization (RMA) numbers.

Question 38

Which Azure Cognitive Services service can be used to identify documents that contain sensitive information?

Options:

A.

Custom Vision

B.

Conversational Language Understanding

C.

Form Recognizer

Question 39

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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Options:

Question 40

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.

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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.

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Options:

Question 41

A company employs a team of customer service agents to provide telephone and email support to customers.

The company develops a webchat bot to provide automated answers to common customer queries.

Which business benefit should the company expect as a result of creating the webchat bot solution?

Options:

A.

increased sales

B.

a reduced workload for the customer service agents

C.

improved product reliability

Question 42

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

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Options:

Question 43

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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Options:

Question 44

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

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Options:

Question 45

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?

Options:

A.

accountability

B.

fairness

C.

inclusiveness

D.

privacy and security

Question 46

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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Options:

Question 47

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?

Options:

A.

fairness

B.

inclusiveness

C.

reliability and safety

D.

accountability

Question 48

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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Options:

Question 49

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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Options:

Question 50

You are building an AI system.

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

Options:

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.

Question 51

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

NOTE: Each correct selection is worth one point.

Options:

A.

knowledgeability

B.

decisiveness

C.

inclusiveness

D.

fairness

E.

opinionatedness

F.

reliability and safety

Question 52

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.

Options:

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

Question 53

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?

Options:

A.

transparency

B.

inclusiveness

C.

fairness

D.

privacy and security

Question 54

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

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Options:

Question 55

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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Options:

Question 56

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?

Options:

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

Question 57

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?

Options:

A.

Set Validation type to Auto.

B.

Enable Explain best model.

C.

Set Primary metric to accuracy.

D.

Set Max concurrent iterations to 0.

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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Options:

Question 59

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

Which service should you use?

Options:

A.

Translator Text

B.

Text Analytics

C.

Speech

D.

Language Understanding (LUIS)

Question 60

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?

Options:

A.

Text Analytics

B.

Translator Text

C.

Speech

D.

Language Understanding (LUIS)

Question 61

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

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Options:

Question 62

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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Options:

Question 63

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.

Options:

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

Question 64

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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Options:

Question 65

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

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Options:

Question 66

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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Options:

Question 67

In which scenario should you use key phrase extraction?

Options:

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

Question 68

You are developing a Chabot solution in Azure.

Which service should you use to determine a user’s intent?

Options:

A.

Translator

B.

Azure Cognitive Search

C.

Speech

D.

Language

Question 69

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?

Options:

A.

anomaly detection

B.

semantic segmentation

C.

regression

D.

natural language processing

Question 70

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

You receive the output shown in the following exhibit.

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Which type of natural languages processing was performed?

Options:

A.

entity recognition

B.

key phrase extraction

C.

sentiment analysis

D.

translation

Question 71

You build a QnA Maker bot by using a frequently asked questions (FAQ) page.

You need to add professional greetings and other responses to make the bot more user friendly.

What should you do?

Options:

A.

Increase the confidence threshold of responses

B.

Enable active learning

C.

Create multi-turn questions

D.

Add chit-chat

Question 72

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?

Options:

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

Question 73

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.

Options:

A.

Language Service

B.

Azure Bot Service

C.

Form Recognizer

D.

Anomaly Detector

Question 74

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?

Options:

A.

language detection

B.

sentiment analysis

C.

key phrase extraction

D.

entity recognition

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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Options:

Question 76

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

NOTE: Each correct selection is worth one point.

as

Options:

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Total 319 questions