For each of the following statements, select Yes if the statement is true. Otherwise, select No. - You can use the Translator service to translate text between languages. - You can use the Translator service to detect the language of a given text. - You can use the Translator service to transcribe audible speech into text.

- You can use the Translator service to translate text between languages. → Yes - You can use the Translator service to detect the language of a given text. → Yes - You can use the Translator service to transcribe audible speech into text. → No

For each of the following statements, select Yes if the statement is true. Otherwise, select No. - The Text Analytics service can identify in which language text is written. - The Text Analytics service can detect handwritten signatures in a document. - The Text Analytics service can identify companies and organizations mentioned in a document.

- The Text Analytics service can identify in which language text is written. → Yes - The Text Analytics service can detect handwritten signatures in a document. → No - The Text Analytics service can identify companies and organizations mentioned in a document. → Yes

For each of the following statements, select Yes if the statement is true. Otherwise, select No. - Monitoring online service reviews for profanities is an example of natural language processing. - Identifying brand logos in an image is an example of natural languages processing. - Monitoring public news sites for negative mentions of a product is an example of natural language processing.

- Monitoring online service reviews for profanities is an example of natural language processing. → Yes - Identifying brand logos in an image is an example of natural languages processing. → No - Monitoring public news sites for negative mentions of a product is an example of natural language processing. → Yes

For each of the following statements, select Yes if the statement is true. Otherwise, select No. - The Language service can identify in which language text is written. - The Language service can detect handwritten signatures in a document. - The Language service can identify companies and organizations mentioned in a document.

- The Language service can identify in which language text is written. → Yes - The Language service can detect handwritten signatures in a document. → No - The Language service can identify companies and organizations mentioned in a document. → Yes

Topic 2 Flashcards by Mauro Di Grazia

In which two scenarios can you use a speech synthesis solution?

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 AI character in a computer game that speaks audibly to a player

A. an automated voice that reads back a credit card number entered into a telephone by using a numeric keypad
D. an AI character in a computer game that speaks audibly to a player

How well did you know this?

Not at all

Perfectly

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

You can use the Translator service to translate text between languages.
You can use the Translator service to detect the language of a given text.
You can use the Translator service to transcribe audible speech into text.

You can use the Translator service to translate text between languages. → Yes
You can use the Translator service to detect the language of a given text. → Yes
You can use the Translator service to transcribe audible speech into text. → No

How well did you know this?

Not at all

Perfectly

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?

-Tasks-
- Entity recognition
- Sentiment analysis
- Speech synthesis
- Translation

-Answer Area-
News articles → Filter ‘Task’ → Mentions clients → Assess ‘Tasks’ → Negative coverage → Send alert
↓
Positive coverage → Add to press book

Entity recognition → Mentions clients

Sentiment analysis → Negative coverage → Send alert

Entity recognition → Find mentions of clients.

Sentiment analysis → Assess whether coverage is negative or positive.

How well did you know this?

Not at all

Perfectly

You are building a knowledge base by using QnA Maker.
Which file format can you use to populate the knowledge base?

A. PPTX
B. XML
C. ZIP
D. PDF

D. PDF

How well did you know this?

Not at all

Perfectly

In which scenario should you use key phrase extraction?

A. identifying whether reviews of a restaurant are positive or negative
B. generating captions for a video based on the audio track
C. identifying which documents provide information about the same topics
D. translating a set of documents from English to German

C. identifying which documents provide information about the same topics

How well did you know this?

Not at all

Perfectly

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 AI workload should you use?

A. natural language processing
B. conversational AI
C. anomaly detection
D. computer vision

A. natural language processing

How well did you know this?

Not at all

Perfectly

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

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.

classify email messages as work-related or personal.

How well did you know this?

Not at all

Perfectly

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

A. Translator
B. Text Analytics
C. Speech
D. Language Understanding (LUIS)

D. Language Understanding (LUIS)

How well did you know this?

Not at all

Perfectly

You are developing a chatbot solution in Azure.
Which service should you use to determine a user’s intent?

A. Translator
B. QnA Maker
C. Speech
D. Language Understanding (LUIS)

D. Language Understanding (LUIS)

How well did you know this?

Not at all

Perfectly

You need to make the written press releases of your company available in a range of languages.
Which service should you use?

A. Translator
B. Text Analytics
C. Speech
D. Language Understanding (LUIS)

A. Translator

How well did you know this?

Not at all

Perfectly

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

The Text Analytics service can identify in which language text is written.
The Text Analytics service can detect handwritten signatures in a document.
The Text Analytics service can identify companies and organizations mentioned in a document.

The Text Analytics service can identify in which language text is written. → Yes
The Text Analytics service can detect handwritten signatures in a document. → No
The Text Analytics service can identify companies and organizations mentioned in a document. → Yes

How well did you know this?

Not at all

Perfectly

Match the types of natural languages processing workloads to the appropriate scenarios.

-Workloads Types-
- Entity recognition
- Key phrase extraction
- Language modeling
- Sentiment analysis
- Translation
- Speech recognition and speech synthesis

-Answer Area-
- Extracts persons, locations, and organizations from the text
- Evaluates text along a positive-negative scale
- Converts text to a different language

Extracts persons, locations, and organizations from the text → Entity recognition
Evaluates text along a positive-negative scale → Sentiment analysis
Converts text to a different language → Translation

How well did you know this?

Not at all

Perfectly

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

Monitoring online service reviews for profanities is an example of natural language processing.
Identifying brand logos in an image is an example of natural languages processing.
Monitoring public news sites for negative mentions of a product is an example of natural language processing.

Monitoring online service reviews for profanities is an example of natural language processing. → Yes
Identifying brand logos in an image is an example of natural languages processing. → No
Monitoring public news sites for negative mentions of a product is an example of natural language processing. → Yes

How well did you know this?

Not at all

Perfectly

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

B. sentiment analysis

How well did you know this?

Not at all

Perfectly

You use natural language processing to process text from a Microsoft news story.
You receive the output shown in the following exhibit.

“For weeks now, students and teachers have been settling into the uncharted routine of distance learning. Today I want to thank all of the educators who are connecting classrooms and classmates together in the sudden shift to remote learning. This change requires everyone working together and is unlike anything we’ve seen in the modern history of education. We’ve seen countries, school districts and universities move rapidly into remote learning environments with Microsoft Teams being used in 175 countries by 183,000 institutions.”
→
now [DateTime]
students [PersonType]
teachers [PersonType]
distance [Skill]
Today [DateTime-Date]
educators [PersonType]
classrooms [Location]
classmates [PersonType]
remote learning [Skill]
history [Skill]
education [Skill]
remote learning [Skill]
Microsoft [Organization]
175 [Quantity-Number]
183,000 [Quantity-Number]

Which type of natural languages processing was performed?

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

A. entity recognition

How well did you know this?

Not at all

Perfectly

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.

-API Features-
- Entity recognition
- Key phrase extraction
- Language detection
- Sentiment analysis

-Answer Area-
- Understand how upset a customer is based on the text contained in the support ticket.
- Summarize important information from the support ticket.
- Extract key dates form the support ticket.

Understand how upset a customer is based on the text contained in the support ticket → Sentiment analysis
Summarize important information from the support ticket → Key phrase extraction
Extract key dates from the support ticket → Entity recognition

How well did you know this?

Not at all

Perfectly

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

B. an utterance

How well did you know this?

Not at all

Perfectly

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?

A. Increase the confidence threshold of responses
B. Enable active learning
C. Create multi-turn questions
D. Add chit-chat

D. Add chit-chat

How well did you know this?

Not at all

Perfectly

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

D. QnA Maker

How well did you know this?

Not at all

Perfectly

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. 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

B. Add utterances to the None intent

How well did you know this?

Not at all

Perfectly

Which two scenarios are examples of a natural language processing workload?

A. monitoring the temperature of machinery to turn on a fan when the temperature reaches a specific threshold
B. a smart device in the home that responds to questions such as, “What will the weather be like today?”
C. a website that uses a knowledge base to interactively respond to users’ questions
D. assembly line machinery that autonomously inserts headlamps into cars

B. a smart device in the home that responds to questions such as, “What will the weather be like today?”
C. a website that uses a knowledge base to interactively respond to users’ questions

How well did you know this?

Not at all

Perfectly

You have an AI 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?

A. text-to-speech
B. key phrase extraction
C. speech-to-text
D. language modeling
E. translation

A. text-to-speech
C. speech-to-text

How well did you know this?

Not at all

Perfectly

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

The Language service can identify in which language text is written.
The Language service can detect handwritten signatures in a document.
The Language service can identify companies and organizations mentioned in a document.

The Language service can identify in which language text is written. → Yes
The Language service can detect handwritten signatures in a document. → No
The Language service can identify companies and organizations mentioned in a document. → Yes

How well did you know this?

Not at all

Perfectly

You plan to use Azure Cognitive Services to develop a voice controlled personal assistant app.
Match the Azure Cognitive Services to the appropriate tasks.

-Services-
- Speech
- Language service
- Translator Text

-Answer Area-
- Convert a user’s speech to text
- Identify a user’s intent
- Provide a spoken response to the user

Convert a user’s speech to text → Speech
Identify a user’s intent → Language service
Provide a spoken response to the user → Speech

How well did you know this?

Not at all

Perfectly

You need to make the written press releases of your company available in a range of languages. Which service should you use? A. Speech B. Language C. Translator D. Personalizer

C. Translator

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 AI workload should you use? A. anomaly detection B. natural language processing C. computer vision D. knowledge mining

B. natural language processing

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. Language service B. Translator C. Speech D. Personalizer

C. Speech

You have a webchat bot that provides responses from a QnA Maker knowledge base. You need to ensure that the bot uses user feedback to improve the relevance of the responses over time. What should you use? A. key phrase extraction B. sentiment analysis C. business logic D. active learning

D. active learning

You are developing a conversational AI solution that will communicate with users through multiple channels including email, Microsoft Teams, and webchat. Which service should you use? A. Text Analytics B. Azure Bot Service C. Translator D. Form Recognizer

B. Azure Bot Service

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 conversational AI workload. - An application that displays images relating to an entered search term is an example of a conversational AI workload. - A web form used to submit a request to reset a password is an example of a conversational AI workload.

- A bot that responds to queries by internal users is an example of a conversational AI workload. → Yes - An application that displays images relating to an entered search term is an example of a conversational AI workload. → No - A web form used to submit a request to reset a password is an example of a conversational AI workload. → No

You need to provide content for a business chatbot that will help answer simple user queries. What are three ways to create question and answer text by using QnA Maker? A. Generate the questions and answers from an existing webpage. B. Use automated machine learning to train a model based on a file that contains the questions. C. Manually enter the questions and answers. D. Connect the bot to the Cortana channel and ask questions by using Cortana. E. Import chit-chat content from a predefined data source.

A. Generate the questions and answers from an existing webpage. C. Manually enter the questions and answers. E. Import chit-chat content from a predefined data source.

You have a frequently asked questions (FAQ) PDF file. You need to create a conversational support system based on the FAQ. Which service should you use? A. QnA Maker B. Text Analytics C. Computer Vision D. Language Understanding (LUIS)

A. QnA Maker

You need to reduce the load on telephone operators by implementing a chatbot to answer simple questions with predefined answers. Which two AI service should you use to achieve the goal? A. Text Analytics B. QnA Maker C. Azure Bot Service D. Translator

B. QnA Maker C. Azure Bot Service

Which two scenarios are examples of a conversational AI workload? A. a smart device in the home that responds to questions such as ג€What will the weather be like today?ג€ 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

A. a smart device in the home that responds to questions such as ג€What will the weather be like today?ג€ B. a website that uses a knowledge base to interactively respond to users' questions

You have the process shown in the following exhibit. -Chat bot- You "How do I programmatically update my Knowledge Base?" bot "You can use REST APIs to manage your Knowledge Base. See here for details: https://aka.ms/kb-info" { "answers": [ { "questions":[ "How do I programmatically update my Knowledge Base?" ], "answer": "You can use REST APIs to manage your "score": 100.0, "id": 18, "source": "Custom Editorial", "metadata":[ { "name": "category", "value": "api" } ] } ] } Which type of AI solution is shown in the diagram? A. a sentiment analysis solution B. a chatbot C. a machine learning model D. a computer vision application

B. a chatbot

You need to develop a web-based AI solution for a customer support system. Users must be able to interact with a web app that will guide them to the best resource or answer. Which service should you use? A. Custom Vision B. QnA Maker C. Translator Text D. Face

B. QnA Maker

==Same as #33== You need to reduce the load on telephone operators by implementing a chatbot to answer simple questions with predefined answers. Which two AI service should you use to achieve the goal? A. Text Analytics B. QnA Maker C. Azure Bot Service D. Translator

B. QnA Maker C. Azure Bot Service

To complete the sentence, select the appropriate option in the answer area. The interactive answering of questions entered by a user as part of an application is an example of ↓ - anomaly detection. - computer vision. - conversational AI. - forecasting.

- conversational AI.

Which scenario is an example of a webchat bot? A. Determine whether reviews entered on a website for a concert are positive or negative, and then add a thumbs up or thumbs down emoji to the reviews. B. Translate into English questions entered by customers at a kiosk so that the appropriate person can call the customers back. C. Accept questions through email, and then route the email messages to the correct person based on the content of the message. D. From a website interface, answer common questions about scheduled events and ticket purchases for a music festival.

D. From a website interface, answer common questions about scheduled events and ticket purchases for a music festival.

For each of the following statements, select Yes if the statement is true. Otherwise, select No. - You can use QnA Maker to query an Azure SQL database. - You should use QnA Maker when you want a knowledge base to provide the same answer to different users who submit similar questions. - The QnA Maker service can determine the intent of a user utterance.

- You can use QnA Maker to query an Azure SQL database. → No - You should use QnA Maker when you want a knowledge base to provide the same answer to different users who submit similar questions. → Yes - The QnA Maker service can determine the intent of a user utterance. → No

For each of the following statements, select Yes if the statement is true. Otherwise, select No. - You can communicate with a bot by using Cortana. - You can communicate with a bot by using Microsoft Teams. - You can communicate with a bot by using a webchat interface.

- You can communicate with a bot by using Cortana. → No - You can communicate with a bot by using Microsoft Teams. → Yes - You can communicate with a bot by using a webchat interface. → Yes

For each of the following statements, select Yes if the statement is true. Otherwise, select No. - A restaurant can use a chatbot to empower customers to make reservations by using a website or an app. - A restaurant can use a chatbot to answer inquiries about business hours form a webpage. - A restaurant can use a chatbot to automate responses to customer reviews on an external website.

- A restaurant can use a chatbot to empower customers to make reservations by using a website or an app. → Yes - A restaurant can use a chatbot to answer inquiries about business hours form a webpage. → Yes - A restaurant can use a chatbot to automate responses to customer reviews on an external website. → No

Which two scenarios are examples of a conversational AI workload? A. a telephone answering service that has a pre-recorder message B. a chatbot that provides users with the ability to find answers on a website by themselves C. telephone voice menus to reduce the load on human resources D. a service that creates frequently asked questions (FAQ) documents by crawling public websites

B. a chatbot that provides users with the ability to find answers on a website by themselves C. telephone voice menus to reduce the load on human resources

For each of the following statements, select Yes if the statement is true. Otherwise, select No. - Azure Bot Service and Azure Cognitive Services can be integrated. - Azure Bot Service engages with customers in a conversational manner. - Azure Bot Service can import frequently asked questions (FAQ) to question and answer sets.

- Azure Bot Service and Azure Cognitive Services can be integrated. → Yes - Azure Bot Service engages with customers in a conversational manner. → Yes - Azure Bot Service can import frequently asked questions (FAQ) to question and answer sets. → No

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 conversational AI - A smart device in the home that responds to questions such as "What will the weather like today?" is an example of conversational AI

- A webchat bot can interact with users visiting a website → 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 "What will the weather like today?" is an example of conversational AI → Yes

You have a knowledge base of frequently asked questions (FAQ). 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? A. Register customer purchases. B. Register customer complaints. C. Answer questions from multiple users simultaneously. D. Provide customers with return materials authorization (RMA) numbers.

C. Answer questions from multiple users simultaneously.

For each of the following statements, select Yes if the statement is true. Otherwise, select No. - A restaurant can use a chatbot to answer queries through Cortana. - A restaurant can use a chatbot to answer inquiries about business hours from a webpage. - A restaurant can use a chatbot to automate responses to customer reviews on an external website.

- A restaurant can use a chatbot to answer queries through Cortana. → No - A restaurant can use a chatbot to answer inquiries about business hours from a webpage. → Yes - A restaurant can use a chatbot to automate responses to customer reviews on an external website. → No

For each of the following statements, select Yes if the statement is true. Otherwise, select No. - Chatbots can only be built by using custom code. - The Azure Bot Service provides services that can be used to host conversational bots. - Bots built by using the Azure Bot Service can communicate with Microsoft Teams users.

- Chatbots can only be built by using custom code. → No - The Azure Bot Service provides services that can be used to host conversational bots. → Yes - Bots built by using the Azure Bot Service can communicate with Microsoft Teams users. → Yes

Select the answer that correctly completes the sentence. Computer vision capabilities can be deployed to ↓ - develop a text-based chatbot for a website. - identify anomalous customer behavior on an online store. - integrate a facial recognition feature into an app. - suggest automated responses to incoming email.

- integrate a facial recognition feature into an app.

You have an Azure Machine Learning pipeline that contains a Split Data module. The Split Data module outputs to a Train Model module and a Score Model module. What is the function of the Split Data module? A. scaling numeric variables so that they are within a consistent numeric range B. creating training and validation datasets C. diverting records that have missing data D. selecting columns that must be included in the model

B. creating training and validation datasets

Which statement is an example of a Microsoft responsible AI principle? A. AI systems must use only publicly available data B. AI systems must be transparent and inclusive C. AI systems must keep personal details public D. AI systems must protect the interests of the company

B. AI systems must be transparent and inclusive

=Duplicated of 112= Match the types of natural language processing workloads to the appropriate scenarios. -Workload types- - Entity recognition - Key phrase extraction - Language modeling - Sentiment analysis - Speech recognition and speech synthesis - Translation -Answer Area- - Extract persons, locations, and organizations from the text. - Evaluates text along a positive-negative scale. - Converts text to a different language.

- Extracts persons, locations, and organizations from the text → Entity recognition - Evaluates text along a positive-negative scale → Sentiment analysis - Converts text to a different language → Translation

You need to reduce the load on telephone operators by implementing a chatbot to answer simple questions with predefined answers. Which two AI services should you use to achieve the goal? A. Azure Machine Learning B. Azure Bot Service C. Language Service D. Translator

B. Azure Bot Service C. Language Service

Match the principles of responsible AI to the appropriate descriptions. -Principles- - Fairness - Inclusiveness - Privacy and security - Reliability and safety -Answer Area- - AI systems must consistently operate as intended, even under unexpected conditions. - AI systems must protect and secure personal and businesses information.

- AI systems must consistently operate as intended, even under unexpected conditions → Reliability and safety - AI systems must protect and secure personal and business information → Privacy and security

During the process of Machine Learning, when should you review evaluation metrics. A. Before you train a model. B. After you clean the data. C. Before you choose the type of model. D. After you test a model on the validation data.

D. After you test a model on the validation data.

You have a natural language processing (NLP) model that was created by using data obtained without permission. Which Microsoft principle for responsible AI does this breach? A. reliability and safety B. privacy and security C. inclusiveness D. transparency

B. privacy and security

Select the answer that correctly completes the sentence. Ensuring an AI system does not provide a prediction when important fields contain unusual or missing values is _______ principle for responsible AI. ↓ - an inclusiveness - a privacy and security - a reliability and safety - a transparency

- a reliability and safety

Match the services to the appropriate descriptions. -Services- - Azure Storage - Azure Bot Service - Language Service - Speech -Answer Area- - Enables the use of natural language to query a knowledge base. - Enables the real-time transcription of speech-to-text.

- Enables the use of natural language to query a knowledge base → Language Service - Enables the real-time transcription of speech-to-text → Speech

Which machine learning technique can be used for anomaly detection? A. A machine learning technique that classifies objects based on user supplied images. B. A machine learning technique that understands written and spoken language. C. A machine learning technique that classifies images based on their contents. D. A machine learning technique that analyzes data over time and identifies unusual changes.

D. A machine learning technique that analyzes data over time and identifies unusual changes.

You have an AI-based loan approval system. During testing, you discover that the system has a gender bias. Which responsible Al principle does this violate? A. accountability B. reliability and safety C. transparency D. fairness

D. fairness

You are developing a system to predict the prices of insurance for drivers in the United Kingdom. You need to minimize bias in the system. What should you do? A. Remove information about protected characteristics from the data before sampling. B. Take a training sample that is representative of the population in the United Kingdom. C. Create a training dataset that uses data from global insurers. D. Take a completely random training sample.

B. Take a training sample that is representative of the population in the United Kingdom.

Select the answer that correctly completes the sentence. Azure Machine Learning designer lets you create machine learning models by ↓ - adding and connecting modules on a visual canvas. - automatically performing common data preparation tasks. - automatically selecting an algorithm to build the most accurate model. - using a code-first notebook experience.

- adding and connecting modules on a visual canvas.

You have a dataset. You need to build an Azure Machine Learning classification model that will identify defective products. What should you do first? A. Load the dataset. B. Create a clustering model. C. Split the data into training and testing datasets. D. Create a classification model.

A. Load the dataset.

You use Azure Machine Learning designer to build a model pipeline. What should you create before you can run the pipeline? A. a registered model B. a compute resource C. a Jupyter notebook

B. a compute resource

Match the tool to the Azure Machine Learning task. -Tools- - Automated machine learning (automated ML) - The Azure portal - Machine Learning designer -Answer Area- - Create a Machine Learning workspace - Use a drag-and-drop interface used to train and deploy models - Use a wizard to select configurations for a machine learning run

- Create a Machine Learning workspace → The Azure portal - Use a drag-and-drop interface used to train and deploy models → Machine Learning designer - Use a wizard to select configurations for a machine learning run → Automated machine learning (automated ML)

You need to create a customer support solution to help customers access information. The solution must support email, phone, and live chat channels. Which type of Al solution should you use? A. machine learning B. computer vision C. chatbot D. natural language processing (NLP)

C. chatbot

Match the types of AI workloads to the appropriate scenarios. -Workload Types- - Anomaly detection - Computer vision - Machine Learning (Clustering) - Natural language processing -Answer Area- - Identify handwritten letters. - Predict the sentiment of a social media post. - Identify an unusual credit card payment. - Group animals based on multiple measurements.

- Identify handwritten letters → Computer vision - Predict the sentiment of a social media post → Natural language processing - Identify an unusual credit card payment → Anomaly detection - Group animals based on multiple measurements → Machine Learning (Clustering)

Predicting how many vehicles will travel across a bridge on a give day is an example of _______. Select the answer that correctly completes the sentence. A. regression B. translation C. classification D. clustering

A. regression

In a machine learning model, the data that is used as inputs are called ________. Select the answer that correctly completes the sentence. A. dataset B. labels C. variables

C. variables

Select the answer that correctly completes the sentence. Using Recency, Frequency, and Monetary (RFM) values to identify segments of a customer base is an example of ↓ - clustering. - regression. - classification. - regularization.

- clustering.

You plan to deploy an Azure Machine Learning model by using the Machine Learning designer. Which four actions should you perform in sequence? -Actions- - Train the model. - Split the data randomly into training data and validation data. - Evaluate the model against the original dataset. - Evaluate the model against the validation dataset. - Ingest and prepare a dataset.

1. Ingest and prepare a dataset 2. Split the data randomly into training data and validation data 3. Train the model 4. Evaluate the model against the validation dataset

For each of the following statements, select Yes if the statement is true. Otherwise, select No. - Organizing documents into groups based on different usage statistics is an example of clustering. - Grouping similar patients based on symptoms and diagnostic test results is an example of clustering. - Predicting whether a person will develop mild, moderate, or sever allergy symptoms based on pollen count is an example of clustering.

- Organizing documents into groups based on different usage statistics is an example of clustering. → Yes - Grouping similar patients based on symptoms and diagnostic test results is an example of clustering. → Yes - Predicting whether a person will develop mild, moderate, or severe allergy symptoms based on pollen count is an example of clustering. → No

Select the answer that correctly completes the sentence. When building a regression model, labels must have a data type of ↓ - boolean. - datetime. - numeric. - text.

- numeric.

You need to create a clustering model and evaluate the model by using Azure Machine Learning designer. What should you do? A. Split the original dataset into a dataset for training and a dataset for testing. Use the testing dataset for evaluation. B. Use the original dataset for training and evaluation. C. Split the original dataset into a dataset for features and a dataset for labels. Use the features dataset for evaluation. D. Split the original dataset into a dataset for training and a dataset for testing. Use the training dataset for evaluation.

A. Split the original dataset into a dataset for training and a dataset for testing. Use the testing dataset for evaluation.

You have a dataset that contains the columns shown in the following table. -Name- - ColumnA - ColumnB - ColumnC - ColumnD - ColumnE -Type- - Integer - Numeric - Numeric - Numeric - Numeric You have a machine learning model that predicts the value of ColumnE based on the other numeric columns. Which type of model is this? A. analysis B. clustering C. regression

C. regression

You need to track multiple versions of a model that was trained by using Azure Machine Learning. What should you do? A. Explain the model. B. Register the model. C. Register the training data. D. Provision an inference cluster.

B. Register the model.

You need to identify groups of rows with similar numeric values in a dataset. Which type of machine learning should you use? A. clustering B. regression C. classification

A. clustering

Select the answer that correctly completes the sentence. A banking system that predicts whether a loan will be repaid is an example of the ______ type of machine learning. ↓ - clustering - regression - classification

- classification

Select the answer that correctly completes the sentence. - Classification - Clustering - Regression ↓ models can be used to predict the sale price of auctioned items.

- Regression

A historian can use ________ to digitize newspaper articles. Select the answer that correctly completes the sentence. A. Object detection B. Facial recognition C. Image classification D. Optical character recognition (OCR)

D. Optical character recognition (OCR)

For each of the following statements, select Yes if the statement is true. Otherwise, select No. - Object detection can identify the location of a damaged product in an image. - Object detection can identify multiple instances of a damaged product in an image. - Object detection can identify multiple types of damaged products in an image.

- Object detection can identify the location of a damaged product in an image. → Yes - Object detection can identify multiple instances of a damaged product in an image. → Yes - Object detection can identify multiple types of damaged products in an image. → Yes

You need to create a model that labels a collection of your personal digital photographs. Which Azure Cognitive Services service should you use? A. Form Recognizer B. Custom Vision C. Language D. Computer Vision

B. Custom Vision

Select the answer that correctly completes the sentence. - Object detection - Image description - Image classification - Optical character recognition (OCR) ↓ is used to identify multiple types of items in one image.

- Object detection

Select the answer that correctly completes the sentence. Identifying whether a kiosk user is annoyed by monitoring a video feed from the kiosk is an example of ↓ - face detection. - facial analysis. - facial recognition. - optical character recognition (OCR).

- facial analysis.

Match the Azure Cognitive Services to the appropriate actions. -Services- - Custom Vision - Face - Form Recognizer -Answer Area- - Identify objects in an image. - Automatically import data from an invoice to a database. - Identify people in an image.

- Custom Vision → Identify objects in an image. - Form Recognizer → Automatically import data from an invoice to a database. - Face → Identify people in an image.

Select the answer that correctly completes the sentence. An AI solution that helps photographers take better portrait photographs by providing feedback on exposure, noise, and occlusion is an example of facial ↓ - analysis. - detection. - recognition.

- analysis.

Your company manufactures widgets. You have 1,000 digital photos of the widgets. You need to identify the location of the widgets within the photos. What should you use? A. Computer Vision Spatial Analysis B. Custom Vision object detection C. Computer Vision Image Analysis D. Custom Vision classification

B. Custom Vision object detection

You need to convert handwritten notes into digital text. Which type of computer vision should you use? A. facial detection B. optical character recognition (OCR) C. image classification D. object detection

B. optical character recognition (OCR)

==Duplicated of 183== Select the answer that correctly completes the sentence. - Object detection - Image description - Image classification - Optical character recognition (OCR) ↓ is used to identify multiple types of items in one image.

- Object detection

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. face detection B. image classification C. object detection D. optical character recognition (OCR)

D. optical character recognition (OCR)

Select the answer that correctly completes the sentence. You can use the ______ ↓ service to train an object detection model by using your own images. - Computer Vision - Custom Vision - Form Recognizer - Azure Video Analyzer for Media

- Custom Vision

To complete the sentence, select the appropriate option in the answer area. An AI solution that helps photographers take better portrait photographs by providing feedback on exposure, noise, and occlusion is an example of facial _____ ↓ - analysis. - detection. - recognition.

- analysis.

==Duplicated of 185== Match the Azure Cognitive Services to the appropriate AI workloads. -Services- - Custom Vision - Face - Form Recognized -Answer Area- - Identify objects in an image. - Automatically import data from an invoice to a database. - Identify people in an image.

- Custom Vision → Identify objects in an image. - Form Recognizer → Automatically import data from an invoice to a database. - Face → Identify people in an image.

You need to implement a pre-built solution that will identify well-known brands in digital photographs. Which Azure Cognitive Services service should you use? A. Custom Vision B. Form Recognizer C. Face D. Computer Vision

D. Computer Vision

Natural language processing can be used to __________. Select the answer that correctly completes the sentence. A. Analyze video content B. Generate speech C. Classify email messages as work-related or personal. D. Classify images

C. Classify email messages as work-related or personal.

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? A. Language Service B. Azure Bot Service C. Form Recognizer D. Anomaly Detector

A. Language Service B. Azure Bot Service

For each of the following statements, select Yes if the statement is true. Otherwise, select No. - The following service call will accept English text as an input and output Italian and French text. /translate?from=it&to=fr&to=en - The following service call will accept English text as an input and output Italian and French text. /translate?from=en&to=fr&to=it - The Translator service can be used to translate documents from English to French.

- The following service call will accept English text as an input and output Italian and French text. /translate?from=it&to=fr&to=en → No - The following service call will accept English text as an input and output Italian and French text. /translate?from=en&to=fr&to=it → Yes - The Translator service can be used to translate documents from English to French. → Yes

An app that analyzes social media posts to identify their tone is an example of which type of natural language processing (NLP) workload? A. sentiment analysis B. speech recognition C. key phrase extraction D. entity recognition

A. sentiment analysis

You are building a chatbot that will use natural language processing (NLP) to perform the following actions based on the text input of a user. * Accept customer orders. * Retrieve support documents. * Retrieve order status updates. Which type of NLP should you use? A. sentiment analysis B. named entity recognition C. translation D. language modeling

D. language modeling

Match the Azure Cognitive Services service to the appropriate actions. -Azure Cognitive Services- - Language service - Speech - Translator - Answer Area- - Convert spoken request into text. - Identify the intent of a user's requests. - Apply intent to entities and utterances.

- Convert spoken request into text → Speech - Identify the intent of a user's requests → Language service - Apply intent to entities and utterances → Language service

Topic 2 Flashcards

(100 cards)