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Microsoft AI-900 Microsoft Azure AI Fundamentals Exam Practice Test

Demo: 76 questions
Total 319 questions

Microsoft Azure AI Fundamentals Questions and Answers

Question 1

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 2

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 3

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.

Options:

Question 4

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 5

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 6

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

Options:

Question 7

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?

Options:

A.

entity recognition

B.

key phrase extraction

C.

sentiment analysis

D.

language detection

Question 8

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 9

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 10

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 11

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 12

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 13

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

NOTE: Each correct selection is worth one point.

Options:

Question 14

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 15

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?

Options:

A.

an intent

B.

an utterance

C.

a domain

D.

an entity

Question 16

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.

Options:

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.

Options:

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.

Options:

Question 19

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.

Options:

Question 20

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 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

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 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

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 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.

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 26

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.

Options:

Question 27

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.

Options:

Question 28

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 29

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.

Options:

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.

Options:

Question 31

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.

Options:

Question 32

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

Options:

Question 33

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?

Options:

A.

object detection

B.

semantic segmentation

C.

optical character recognition (OCR)

D.

image classification

Question 34

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

NOTE: Each correct selection is worth one point.

Options:

Question 35

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 36

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 37

Match the principles of responsible AI to the appropriate descriptions.

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

NOTE: Each correct match is worth one point.

Options:

Question 38

Match the computer vision service to the appropriate Al workload.

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

NOTE: Each correct match is worth one point.

Options:

Question 39

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

Options:

Question 40

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 41

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 42

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

Options:

Question 43

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 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.

Options:

Question 45

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.

Options:

Question 46

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

Options:

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.

Question 47

Match the Microsoft guiding principles for responsible AI to the appropriate descriptions.

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

NOTE: Each correct selection is worth one point.

Options:

Question 48

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 49

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.

Options:

Question 50

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 51

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

Options:

Question 52

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 53

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

Options:

Question 54

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.

Options:

Question 55

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 56

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 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.

Options:

Question 58

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

Options:

Question 59

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?

Options:

A.

clustering

B.

regression

C.

classification

Question 60

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

Options:

Question 61

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

Options:

Question 62

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 63

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.

Options:

Question 64

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

Options:

Question 65

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 66

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 67

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

Which type of model is the chart used to evaluate?

Options:

A.

classification

B.

regression

C.

clustering

Question 68

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 69

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.

Options:

Question 70

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 71

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 72

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

NOTE: Each correct selection is worth one point.

Options:

Question 73

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 74

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

NOTE: Each correct selection is worth one point.

Options:

Question 75

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

Options:

Question 76

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

Options:

Demo: 76 questions
Total 319 questions