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Frequently Asked Questions
Question # 1
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. selecting columns that must be included in the model
B. creating training and validation datasets
C. diverting records that have missing data
D. scaling numeric variables so that they are within a consistent numeric range
Question # 2
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.
A. text-to-speech
B. translation
C. language modeling
D. key phrase extraction
E. speech-to-text
Question # 3
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?
A. conversational Al
B. anomaly detection
C. natural language processing
D. computer vision
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?
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
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.
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 # 6
In which scenario should you use key phrase extraction?
A. translating a set of documents from English to German
B. generating captions for a video based on the audio track
C. identifying whether reviews of a restaurant are positive or negative
D. identifying which documents provide information about the same topics
Question # 7
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
Question # 8
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.
A. QnA Maker
B. Azure Bot Service
C. Form Recognizer
D. Anomaly Detector
Question # 9
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
Question # 10
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 isplaying 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
Question # 11
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. Computer Vision
B. Face
C. Text Analytics
D. Form Recognizer
Question # 12
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?
A. facial recognition
B. optical character recognition (OCR)
C. semantic segmentation
D. object detection
Question # 13
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?
A. Custom Vision
B. Form Recognizer
C. Face
D. Computer Vision
Question # 14
What are two metrics that you can use to evaluate a regression model? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
A. coefficient of determination (R2)
B. F1 score
C. root mean squared error (RMSE)
D. area under curve (AUC)
E. balanced accuracy
Question # 15
Which type of machine learning should you use to identify groups of people who have similar purchasing habits?
A. classification
B. regression
C. clustering
Question # 16
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?
A. transparency
B. inclusiveness
C. fairness
D. privacy and security
Question # 17
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.
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 # 18
You need to develop a web-based AI solution for a customer support system. Users mustbe 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
Question # 19
You need to track multiple versions of a model that was trained by using Azure Machine Learning. What should you do?
A. Provision an inference duster.
B. Explain the model.
C. Register the model.
D. Register the training data.
Question # 20
You are building a knowledge base by using QnA Maker. Which file format can you use topopulate the knowledge base?
A. PDF
B. PPTX
C. XML
D. ZIP
Question # 21
You use drones to identify where weeds grow between rows of crops to send an Instructionfor the removal of the weeds. This is an example of which type of computer vision?
A. scene segmentation
B. optical character recognition (OCR)
C. object detection
Question # 22
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 theresponses over time.What should you use?
A. key phrase extraction
B. sentiment analysis
C. business logic
D. active learning
Question # 23
You are developing a conversational AI solution that will communicate with users throughmultiple channels including email, Microsoft Teams, and webchat.Which service should you use?
A. Text Analytics
B. Azure Bot Service
C. Translator
D. Form Recognizer
Question # 24
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?
A. conversational Al
B. anomaly detection
C. natural language processing
D. computer vision
Question # 25
You need to build an image tagging solution for social media that tags images of yourfriends automatically. Which Azure Cognitive Services service should you use?
A. Computer Vision
B. Face
C. Text Analytics
D. Form Recognizer
Question # 26
You use Azure Machine Learning designer to build a model pipeline. What should youcreate before you can run the pipeline?
A. a Jupyter notebook
B. a registered model
C. a compute resource
Question # 27
You need to develop a chatbot for a website. The chatbot must answer users questionsbased on the information m the following documents• A product troubleshooting guide m a Microsoft Word document• A frequently asked questions (FAQ) list on a webpageWhich service should you use to process the documents?
A. Language Undemanding
B. Text Analytics
C. Azure Bot Service
D. QnA Maker
Question # 28
In which scenario should you use key phrase extraction?
A. translating a set of documents from English to German
B. generating captions for a video based on the audio track
C. identifying whether reviews of a restaurant are positive or negative
D. identifying which documents provide information about the same topics
Question # 29
You have the process shown in the following exhibit.Which type 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
Question # 30
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.
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
Question # 31
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? Each correct answer presents part of the solution.NOTE: Each correct selection is worth one point.
A. Text Analytics
B. QnA Maker
C. Azure Bot Service
D. Translator Text
Question # 32
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? Each correct answer presents a complete solution.NOTE: Each correct selection is worth one point.
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.
Question # 33
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)
Question # 34
Which AI service should you use to create a bot from a frequently asked questions (FAQ) document?
A. QnA Maker
B. Language Understanding (LUIS)
C. Text Analytics
D. Speech
Question # 35
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.
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 # 36
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.
Question # 37
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
Question # 38
Which two components can you drag onto a canvas in Azure Machine Learning designer? Each correct answer presents a complete solution.NOTE: Each correct selection is worth one point
A. dataset
B. compute
C. pipeline
D. module
Question # 39
Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?
A. Form Recognizer
B. Text Analytics
C. Ink Recognizer
D. Custom Vision
Question # 40
You need to predict the income range of a given customer by using the following dataset.Which two fields should you use as features? Each correct answer presents a complete solution.NOTE: Each correct selection is worth one point.
A. Education Level
B. Last Name
C. Age
D. Income Range
E. First Name
Question # 41
When training a model, why should you randomly split the rows into separate subsets?
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 # 42
Which type of machine learning should you use to predict the number of gift cards that will be sold next month?
A. classification
B. regression
C. clustering
Question # 43
Which metric can you use to evaluate a classification model?
A. true positive rate
B. mean absolute error (MAE)
C. coefficient of determination (R2)
D. root mean squared error (RMSE)
Question # 44
You need to create a training dataset and validation dataset from an existing dataset.Which module in the Azure Machine Learning designer should you use?
A. Select Columns in Dataset
B. Add Rows
C. Split Data
D. Join Data
Question # 45
Which AI service can you use to interpret the meaning of user input such as “Call me back later?”
A. Translator Text
B. Text Analytics
C. Speech
D. Language Understanding (LUIS)
Question # 46
In which two scenarios can you use speech recognition? Each correct answer presents a complete solution.NOTE: Each correct selection is worth one point.
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 # 47
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.
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 # 48
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. Text Analytics
B. Translator Text
C. Speech
D. Language Understanding (LUIS)
Question # 49
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
Question # 50
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?
A. entity recognition
B. key phrase extraction
C. sentiment analysis
D. language detection
Question # 51
You need to predict the sea level in meters for the next 10 years.Which type of machine learning should you use?
A. classification
B. regression
C. clustering
Question # 52
You are developing a chatbot solution in Azure.Which service should you use to determine a user’s intent?
A. Translator Text
B. QnA Maker
C. Speech
D. Language Understanding (LUIS)
Question # 53
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.
A. the model name
B. the training endpoint
C. the authentication key
D. the REST endpoint
Question # 54
You use natural language processing to process text from a Microsoft news story.You receive the output shown in the following exhibit.Which type of natural languages processing was performed?
A. entity recognition
B. key phrase extraction
C. sentiment analysis
D. translation
Question # 55
You have a dataset that contains information about taxi journeys that occurred during a given period.You need to train a model to predict the fare of a taxi journey.What should you use as a feature?
A. the number of taxi journeys in the dataset
B. the trip distance of individual taxi journeys
C. the fare of individual taxi journeys
D. the trip ID of individual taxi journeys
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