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Microsoft AI-900 Microsoft Azure AI Fundamentals Exam Practice Test

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Total 276 questions

Microsoft Azure AI Fundamentals Questions and Answers

Question 1

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 2

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 3

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

Question # 3

Options:

Question 4

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 5

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.

Question # 5

Options:

Question 6

Match the machine learning tasks to the appropriate scenarios.

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

NOTE: Each correct selection is worth one point.

Question # 6

Options:

Question 7

You have the following dataset.

Question # 7

You plan to use the dataset to train a model that will predict the house price categories of houses.

What are Household Income and House Price Category? To answer, select the appropriate option in the answer area.

NOTE: Each correct selection is worth one point.

Question # 7

Options:

Question 8

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

Question # 8

Options:

Question 9

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

Question # 9

Options:

Question 10

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

Question # 10

Options:

Question 11

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

NOTE: Each correct selection is worth one point.

Question # 11

Options:

Question 12

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

Question # 12

Options:

Question 13

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 14

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

NOTE: Each correct selection is worth one point.

Question # 14

Options:

Question 15

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

NOTE: Each correct selection is worth one point.

Question # 15

Options:

Question 16

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

Question # 16

Which type of model is the chart used to evaluate?

Options:

A.

classification

B.

regression

C.

clustering

Question 17

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

Question # 17

Options:

Question 18

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 19

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.

Question # 19

Options:

Question 20

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.

Question # 20

Options:

Question 21

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 22

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

Question # 22

Options:

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.

Question # 23

Options:

Question 24

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 25

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 26

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 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 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.

Question # 28

Options:

Question 29

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

NOTE: Each correct selection is worth one point.

Question # 29

Options:

Question 30

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.

Question # 30

Options:

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

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 33

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 34

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

Question # 34

Which type of computer vision was used?

Options:

A.

object detection

B.

semantic segmentation

C.

optical character recognition (OCR)

D.

image classification

Question 35

You need to identify street names based on street signs in photographs.

Which type of computer vision should you use?

Options:

A.

object detection

B.

optical character recognition (OCR)

C.

image classification

D.

facial recognition

Question 36

Which Azure Al Document Intelligence prebuilt model should you use to extract parties and jurisdictions from a legal document?

Options:

A.

contract

B.

layout

C.

general document

D.

read

Question 37

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.

Options:

A.

a smart device in the home that responds to questions such as “What will the weather be like today?”

B.

a website that uses a knowledge base to interactively respond to users’ questions

C.

assembly line machinery that autonomously inserts headlamps into cars

D.

monitoring the temperature of machinery to turn on a fan when the temperature reaches a specific

Threshold

Question 38

Select the answer that correctly completes the sentence.

Question # 38

Options:

Question 39

Match the machine learning models to the appropriate deceptions.

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

NOTE: Each correct match is worth one point.

Question # 39

Options:

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

Question # 40

Options:

Question 41

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

NOTE: Each correct selection is worth one point

Question # 41

Options:

Question 42

Match the types of computer vision 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 match is worth one point.

Question # 42

Options:

Question 43

You have an Azure Machine Learning model that predicts product quality. The model has a training dataset that contains 50,000 records. A sample of the data is shown in the following table.

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.

Question # 43

Options:

Question 44

What are three stages in a transformer model? Each correct answer presents a complete solution.

NOTE: Each correct answer is worth one point.

Options:

A.

object detection

B.

embedding calculation

C.

tokenization

D.

next token prediction

E.

anonymization

Question 45

Select the answer that correctly completes the sentence.

Question # 45

Options:

Question 46

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

Using Recency, Frequency, and Monetary (RFM) values to identify segments of a customer base is an example of___________

Options:

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.

Question # 47

Options:

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

Question # 48

Options:

Question 49

Select the answer that correctly completes the sentence.

Question # 49

Options:

Question 50

You have an Al solution that provides users with the ability to control smart devices by using verbal commands.

Which two types of natural language processing (NLP) workloads does the solution use? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

Options:

A.

text-to-speech

B.

translation

C.

language modeling

D.

key phrase extraction

E.

speech-to-text

Question 51

Select the answer that correctly completes the sentence.

Question # 51

Options:

Question 52

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.

Question # 52

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.

Question # 52

Options:

Question 53

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 54

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

NOTE: Each correct selection is worth one point.

Question # 54

Options:

Question 55

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

NOTE: Each correct selection is worth one point.

Question # 55

Options:

Question 56

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 57

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.

Question # 57

Options:

Question 58

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 59

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

Question # 59

Options:

Question 60

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 61

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

Question # 61

Options:

Question 62

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 63

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

Question # 63

Options:

Question 64

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 65

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.

Question # 65

Options:

Question 66

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 67

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.

Question # 67

Options:

Question 68

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 69

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

Question 70

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 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 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 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

Which AI service can you use to interpret the meaning of a user input such as “Call me back later?”

Options:

A.

Translator Text

B.

Text Analytics

C.

Speech

D.

Language Understanding (LUIS)

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.

Question # 75

Options:

Question 76

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 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.

Question # 77

Options:

Question 78

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

Question # 78

Options:

Question 79

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

NOTE: Each correct selection is worth one point.

Options:

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

Question 80

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.

Question # 80

Options:

Question 81

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 82

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

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Total 276 questions