Topic 3

Question 1

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

• A webchat bot can interact with users visiting a website.
• Automatically generating captions for pre-recorded videos is an example of natural language processing.
• A smart device in the home that responds to questions such as “What will the weather be like today?” is an example of natural language processing.

Answer 1

• A webchat bot can interact with users visiting a website. → Yes
• Automatically generating captions for pre-recorded videos is an example of natural language processing. → No
• A smart device in the home that responds to questions such as “What will the weather be like today?” is an example of natural language processing. → Yes

Question 2

You have a website that includes customer reviews.

You need to store the reviews in English and present the reviews to users in their respective language by recognizing each user’s geographical location.

Which type of natural language processing workload should you use?

A. key phrase extraction
B. speech recognition
C. language modeling
D. translation

Answer 2

D. translation

Question 3

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

• Chatbot can support voice input.
• A separate chatbot is required for each communication channel.
• Chatbots manage conversation flows by using a combination of natural language and constrained option responses.

Answer 3

• Chatbot can support voice input. → Yes
• A separate chatbot is required for each communication channel. → No
• Chatbots manage conversation flows by using a combination of natural language and constrained option responses. → Yes

Question 4

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

• A bot that responds to queries by internal users is an example of a natural language processing workload.
• A mobile application that displays images relating to an entered search term is an example of a natural language processing workload.
• A web form used to submit a request to reset a password is an example of a natural language processing workload.

Answer 4

• A bot that responds to queries by internal users is an example of a natural language processing workload. → Yes
• A mobile application that displays images relating to an entered search term is an example of a natural language processing workload. → No
• A web form used to submit a request to reset a password is an example of a natural language processing workload. → No

Question 5

You have a solution that analyzes social media posts to extract the mentions of city names and the city names discussed most frequently.

Which type of natural language processing (NLP) workload does the solution use?

A. speech recognition
B. sentiment analysis
C. key phrase extraction
D. entity recognition

Answer 5

D. entity recognition

Question 6

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

• You can use Language Service’s question answering to query an Azure SQL database.
• You should use Language Service’s question answering when you want a knowledge base to provide the same answer to different users who submit similar questions.
• Language Service’s question answering can determine the intent of a user utterance.

Answer 6

• You can use Language Service’s question answering to query an Azure SQL database. → No
• You should use Language Service’s question answering when you want a knowledge base to provide the same answer to different users who submit similar questions. → Yes
• Language Service’s question answering can determine the intent of a user utterance. → No

Question 7

You are developing a solution that uses the Language service.

You need to identify the main talking points in a collection of documents.

Which type of natural language processing should you use?

A. language detection
B. sentiment analysis
C. entity recognition
D. key phrase extraction

Answer 7

D. key phrase extraction

Question 8

You are designing a system that will generate insurance quotes automatically.

Match the Microsoft responsible AI principles to the appropriate requirements.

-Principles-
- Accountability
- Fairness
- Inclusiveness
- Privacy and security
- Reliability and safety
- Transparency

• Answer Area-
• A customer’s personal information must be visible only to staff who are involved in the decision-making process:
• The decision-making process must be recorded so that staff can identify the reasoning behind a particular quote:
• The system must be accessible to customers who use screen readers or other assistive technology:

Answer 8

• Privacy and security → Customer’s personal information visibility
• Transparency → Decision-making process recorded
• Inclusiveness → Accessible for assistive technology users

Question 9

Which type of natural language processing (NLP) entity is used to identify a phone number?

A. regular expression
B. machine-learned
C. list
D. Pattern.any

Answer 9

A. regular expression

Question 10

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

Returning a bounding box that indicates the location of a vehicle in an image is an example of ↓
- image classification
- object detection
- optical character recognition (OCR)
- facial detection

Answer 10

• object detection

Question 11

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

A. accountability
B. fairness
C. privacy and security
D. inclusiveness

Answer 11

D. inclusiveness

Question 12

You have a large dataset that contains motor vehicle sales data.

You need to train an automated machine learning (automated ML) model to predict vehicle sale values based on the type of vehicle.

Which task should you select?

-Answer Area-
Select task and settings
Select the machine learning task type for the experiment. To fine tune the experiment, choose additional configuration or featurization settings.
- Classification
To predict one of several categories in the target column, yes/no, blue, red green.
- Regression
To predict continuous numeric values.
- Time series forecasting
To predict values based on time.
- Natural Language Processing (preview)
Predict based on text-only data types using multi-class or multi-label classification.
- Computer Vision (preview)
Multi-class or multi-label image classification, object detection, and instance segmentation.

View additional configuration settings
view featurization settings

Answer 12

• Regression

Question 13

Select the answer that correctly completes the sentence.

When evaluating the performance of a model, the ____ ↓ displays the predicted and actual positives and negatives by using a grid of 0 and 1 values.
- AUC metric
- confusion matrix
- ROC curve
- threshold

Answer 13

• confusion matrix

Question 14

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

Which Azure AI service should you use?

A. Custom Vision
B. Form Recognizer
C. Face
D. Language

Answer 14

B. Form Recognizer

Question 15

==Duplicated of 52==

Select the answer that correctly completes the sentence.

Predicting how many vehicles will travel across a bridge on a given day is an example of ___ ↓
- classification
- clustering
- regression

Answer 15

• regression

Question 16

Select the answer that correctly completes the sentence.

In a machine learning model, the data that is used as inputs are called ____ ↓
- features
- functions
- labels
- instances

Answer 16

• features

Question 17

You have a security system that analyzes images from CCTV to provide authorized staff entry into restricted area.

Which type of computer vision does the system use?

A. optical character recognition (OCR)
B. semantic segmentation
C. facial detection and facial recognition
D. image analysis

Answer 17

C. facial detection and facial recognition

Question 18

For which two workloads can you use computer vision?

A. assigning the color pixels in an image to object names
B. detecting inconsistencies and anomalies in a stream of data
C. creating visual representations of numerical data
D. creating photorealistic images by using three-dimensional models
E. describing the contents of an image

Answer 18

A. assigning the color pixels in an image to object names
E. describing the contents of an image

Question 19

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. Custom Vision classification
B. Custom Vision object detection
C. Computer Vision Read
D. Computer Vision optical character recognition (OCR)

Answer 19

B. Custom Vision object detection

Question 20

Select the answer that correctly completes the sentence.

A traffic monitoring system that collects vehicles registration numbers from CCTV footage is an example of ______ ↓ in the Computer Vision service.
- image classification
- object detection
- spatial Analysis
- text extraction

Answer 20

• text extraction

Question 21

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. Face
B. Form Recognizer
C. Language
D. Computer Vision

Answer 21

A. Face

Question 22

Select the answer that correctly completes the sentence.

A historian can use ________ ↓ to digitize newspaper articles.
- facial analysis
- image classification
- object detection
- optical character recognition (OCR)

Answer 22

• optical character recognition (OCR)

Question 23

You have an app that identifies birds in images. The app performs the following tasks:

• Identifies the location of the birds in the image
• Identifies the species of the birds in the image

Which type of computer vision does each task use?

Locate the birds: ↓
- Automated captioning
- Image classification
- Object detection
- Optical character recognition (OCR)

Identify the species of the birds: ↓
- Automated captioning
- Image classification
- Object detection
- Optical character recognition (OCR)

Answer 23

• Locate the birds → Object detection
• Identify the species → Image classification

Question 24

You have a solution that reads manuscripts in different languages and categorizes the manuscripts based on topic.

Which types of natural language processing (NLP) workloads does the solution use?

A. speech recognition and entity recognition
B. speech recognition and language modeling
C. translation and key phrase extraction
D. translation and sentiment analysis

Answer 24

C. translation and key phrase extraction

Question 25

Select the answer that correctly completes the sentence. The interactive answering of questions entered by a user as part of an application is an example of ____ ↓ - anomaly detection. - computer vision. - natural language processing. - forecasting.

Answer 25

- natural language processing.

Question 26

You have 100 instructional videos that do NOT contain any audio. Each instructional video has a script. You need to generate a narration audio file for each video based on the script. Which type of workload should you use? A. language modeling B. speech recognition C. speech synthesis D. translation

Answer 26

C. speech synthesis

Question 27

== Duplicated of 107== Select the answer that correctly completes the sentence. Natural language processing can be used to _____ ↓ - classify email messages as work-related or personal - predict the number of future car rentals - predict which website visitors will make a transaction - stop a process in a factory when extremely high temperatures are registered

Answer 27

- classify email messages as work-related or personal

Question 28

Which AI service can you use to extract intent from a user input such as “Call me back later”? A. Azure Cognitive Search B. Translator C. Language D. Speech

Answer 28

C. Language

Question 29

You are building a Language Understanding model for an e-commerce business. You need to ensure that the model detects when utterances are outside the intended scope of the model. What should you do? A. Export the model B. Add utterances to the None intent C. Create a prebuilt task entity D. Create a new model

Answer 29

B. Add utterances to the None intent

Question 30

Select the answer that correctly completes the sentence. - Azure Health Bot - Microsoft Bot Framework - Power Virtual Agents ↓ can be used to build no-code apps that use built-in natural language processing models

Answer 30

- Power Virtual Agents

Question 31

For each of the following statement, select Yes if the statement is true. Otherwise, select No. - A smart device in the home that responds to questions such as "When is my next appointment?" is an example of conversational AI. - An interactive webchat feature on a company website can be implemented by using Azure Bot Service. - Automatically generating captions for pre-recorded videos is an example of conversation AI.

Answer 31

- A smart device in the home that responds to questions such as "When is my next appointment?" is an example of conversational AI. → Yes - An interactive webchat feature on a company website can be implemented by using Azure Bot Service. → Yes - Automatically generating captions for pre-recorded videos is an example of conversation AI. → No

Question 32

What is an example of the Microsoft responsible AI principle of transparency? A. ensuring that opportunities are allocated equally to all applicants B. helping users understand the decisions made by an AI system C. ensuring that developers are accountable for the solutions they create D. ensuring that the privileged data of users is stored in a secure manner

Answer 32

B. helping users understand the decisions made by an AI system

Question 33

You need to provide customers with the ability to query the status of orders by using phones, social media, or digital assistants. What should you use? A. an Azure Machine Learning model B. the Translator service C. a Form Recognizer model D. Azure Bot Service

Answer 33

D. Azure Bot Service

Question 34

You plan to build a conversational AI solution that can be surfaced in Microsoft Teams, Microsoft Cortana, and Amazon Alexa. Which service should you use? A. Azure Bot Service B. Azure Cognitive Search C. Speech D. Language service

Answer 34

A. Azure Bot Service

Question 35

For each of the following statements, select Yes if the statement is true. Otherwise, select No. - An interactive webchat feature on a company website can be implemented by using Azure Bot Service. - Automatically generating captions for pre-recorded videos is an example of conversational AI - A smart device in the home that responds to questions such as "When is my next appointment?" is an example of conversational AI

Answer 35

- An interactive webchat feature on a company website can be implemented by using Azure Bot Service. → Yes - Automatically generating captions for pre-recorded videos is an example of conversational AI → No - A smart device in the home that responds to questions such as "When is my next appointment?" is an example of conversational AI → Yes

Question 36

Which Azure Cognitive Services service can be used to identify documents that contain sensitive information? A. Custom Vision B. Conversational Language Understanding C. Form Recognizer

Answer 36

C. Form Recognizer

Question 37

Select the answer that correctly completes the sentence. Detecting unusual temperature fluctuations for a large machine is an example of ____ ↓ - a computer vision workload. - a knowledge mining workload. - a natural language processing (NLP) workload. - an anomaly detection workload.

Answer 37

- an anomaly detection workload.

Question 38

A smart device that responds to the question “What is the stock price of Contoso. Ltd.?” is an example of which AI workload? A. knowledge mining B. natural language processing C. computer vision D. anomaly detection

Answer 38

B. natural language processing

Question 39

Match the machine learning models to the appropriate descriptions. -Models- - Classification - Clustering - Regression -Answer Area- - A supervised machine learning model used to predict numeric values. - A supervised machine learning model used to predict categories. - An unsupervised machine learning model used to group similar entities based on features.

Answer 39

- Classification → A supervised machine learning model used to predict categories. - Clustering → An unsupervised machine learning model used to group similar entities based on features. - Regression → A supervised machine learning model used to predict numeric values.

Question 40

You are building a tool that will process images from retail stores and identify the products of competitors. The solution must be trained on images provided by your company. Which Azure AI service should you use? A. Form Recognizer B. Custom Vision C. Face D. Computer Vision

Answer 40

B. Custom Vision

Question 41

Select the answer that correctly completes the sentence. Predicting how many hours of overtime a delivery person will work based on the number of orders received is an example of ____ ↓ - classification. - clustering. - regression.

Answer 41

- regression.

Question 42

Predicting agricultural yields based on weather conditions and soil quality measurements is an example of which type of machine learning model? A. classification B. regression C. clustering

Answer 42

B. regression

Question 43

You need to identify street names based on street signs in photographs. Which type of computer vision should you use? A. object detection B. optical character recognition (OCR) C. image classification D. facial recognition

Answer 43

B. optical character recognition (OCR)

Question 44

Match the types of computer vision workloads to the appropriate scenarios. -Workload Types- - Image classification - Object detection - Optical character recognition (OCR) -Answer Area- - Generate captions for images. - Extract movie title names from movie poster images. - Locate vehicles in images.

Answer 44

- Image classification → Generate captions for images. - Optical character recognition (OCR) → Extract movie title names from movie poster images. - Object detection → Locate vehicles in images.

Question 45

You have a bot that identifies the brand names of products in images of supermarket shelves. Which service does the bot use? A. AI enrichment for Azure Search capabilities B. Computer Vision Image Analysis capabilities C. Custom Vision Image Classification capabilities D. Language Understanding capabilities

Answer 45

C. Custom Vision Image Classification capabilities

Question 46

You are developing a chatbot solution in Azure. Which service should you use to determine a user’s intent? A. Translator B. Language C. Azure Cognitive Search D. Speech

Answer 46

B. Language