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WorksheetsAI-900
Total questions: 73
Worksheet time: 40mins
Q25. Which type of machine learning should you use to predict the number of gift cards that will be sold next month?
Classification
Regression
Clustering
Q27. You need to predict the sea level in meters for the next 10 years.
Which type of machine learning should you use?
Classification
Regression
Clustering
Q62. The interactive answering of questions entered by a user as part of an applications is an example of ____________ .
anomaly detection
computer vision
conversational AI
forecasting
Q61. Which AI service should you use to create a bot from a frequently asked questions (FAQ) document?
QnA Maker
Language Understanding (LUIS)
Test Analytics
Speech
Q60. 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?
Custom Vision
QnA Maker
Translator Text
Face
Q58. 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 smart device in the home that responds to questions such as "What will the weather be like today?"
a website that uses a knowledge base to interactively respond to users' questions
assembly line machinery that autonomously inserts headlamps into cars
monitoring the temperature of machinery to turn on a fan when the temperature reaches a specific threshold
Q57. 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.
Text Analytics
QnA Maker
Azure Bot Service
Translator Text
Q56. 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?
QnA Maker
Text Analytics
Computer Vision
Language Understanding (LUIS)
Q54. Choose the correct statements.
Azure Bot Service and Azure Congnitive Service 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.
Q53. 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 telephone answering service that has a pre-recorder message
a chatbot that provides users with the ability to find answers on a website by themselves
telephone voice menus to reduce the load on human resources
a service that creates frequently asked questions (FAQ) documents by crawling public websites
Q52. 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?
entity recognition
key phrase extraction
sentiment analysis
language detection
Q1. 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 benet should the company expect as a result of creating the webchat bot solution?
increased sales
a reduced workload for the customer service agents
improved product reliability
Q2. For a machine learning progress, how should you split data for training and evaluation?
Use features for training and labels for evaluation.
Randomly split the data into rows for training and rows for evaluation.
Use labels for training and features for evaluation.
Randomly split the data into columns for training and columns for evaluation.
5, 11
11, 1033
1033, 13951
13951, 5
Q4. 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?
Set Validation type to Auto.
Enable Explain best model.
Set Primary metric to accuracy.
Set Max concurrent iterations to 0.
Yes, Yes, No
No, Yes, Yes
No, No, Yes
No, No, No
The handling of unusual or missing values provided to an AI system is a consideration for the Microsoft __________________ principle for responsible AI.
inclusiveness
privacy and security
reliability and safety
transparency
Conversational AI, Computer vision, Natural language processing
Anomaly detection, Conversational AI, Knowledge mining
Anomaly detection, Computer vision, Knowledge mining
Natural language processing, Knowledge mining, Conversational AI
Q8. 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?
fairness
inclusiveness
reliability and safety
accountability
Privacy and security, Accountability, Reliability and safety
Reliability and safety, Fairness, Privacy and security
Accountability, Inclussiveness, Reliability and safety
Inclussiveness, Fairness, Privacy and security
When developing an AI system for self-driving cars, the Microsoft _____________________ principle for responsible AI should be applied to ensure consistent operation system during unexpected circumstances.
inclusiveness
accountability
reliability and safety
fairness
Q11. Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?
Form Recognizer
Text Analytics
Ink Recognizer
Custom Vision
Q12. The ability to extract subtotals and totals from a receipt is a capability of the ______________________ service.
Custom Vision
Form Recognizer
Ink Recognizer
Text Analytics
Q13. You use Azure Machine Learning designer to publish an inference pipeline. Which two parameters should you use to consume the pipeline?
the model name
the training endpoint
the authentication key
the REST endpoint
Q14. From Azure Machine Learning designer, to deploy a real-time inference pipeline as a service for others to consume, you must deploy the model to ___________________________________.
a local web service
Azure Container Instances
Azure Kubernetes Service (AKS)
Azure Machine Learning compute
Q15. Predicting how many hours of overtime a delivery person will work based on the number of order received is an example of _______________.
classification
clustering
regression
Yes, Yes, Yes
Yes, Yes, No
Yes, No, No
No, No, No
A feature, A feature
A feature, A label
A label, A feature
A label, A label
Q18. Which metric can you use to evaluate a classication model?
true positive rate
mean absolute error (MAE)
coecient of determination (R2)
root mean squared error (RMSE)
Q19. Which two components can you drag onto a canvas in Azure Machine Learning designer? Each correct answer presents a complete solution.
dataset
compute
pipeline
module
Q20. 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?
Select Columns in Dataset
Add Rows
Split Data
Join Data
Classification, Clustering, Regression
Clustering, Regression, Classification
Regression, Classification, Clustering,
Regression, Clustering, Classification
Feature engineering, Feature selection, Model development
Model evaluation, Feature engineering, Feature selection
Model training, Feature selection, Model development
Model evaluation, Feature engineering, Model training
Q23. Data values that influence the prediction of a model are called ________________ .
dependant variables
features
identifiers
labels
classication
regression
clustering
Q26. 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?
the number of taxi journeys in the dataset
the trip distance of individual taxi journeys
the fare of individual taxi journeys
the trip ID of individual taxi journeys
Yes, No, Yes, No
No, Yes, No, Yes
No, Yes, Yes, No
Yes, No, No, Yes
Q29. A banking system that predicts whether a loan will be repaid is an example of the __________________ type of machine learning.
classification
regression
clustering
Yes, Yes, No
Yes, No, No
No, Yes, Yes
No, No, Yes
Q31. 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?
semantic segmentation
image classication
object detection
optical character recognition (OCR)
grouping, identification, similarity, verification
verification, similarity, identification, grouping
verification, similarity, grouping, identification
identification, similarity, grouping, verification
Facial recognition, Image classification, Object detection
Image classification, Optical character recoginition (OCR), Object detection
Facial recognition, Optical character recoginition (OCR), Object detection
Object detection, Facial recognition, Image classification
Q34. 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?
optical character recognition (OCR)
object detection
image classication
face detection
Q35. You can use the _______________ service to train an object detection model by using your own images.
Computer Vision
Custom Vision
Form recognizer
Video Indexer
object detection
semantic segmentation
optical character recognition (OCR)
image classication
Q37. What are two tasks that can be performed by using the Computer Vision service?
Train a custom image classication model.
Detect faces in an image.
Recognize handwritten text.
Translate the text in an image between languages.
Q38. What is a use case for classication?
predicting how many cups of coffee a person will drink based on how many hours the person slept the previous night.
analyzing the contents of images and grouping images that have similar colors
predicting whether someone uses a bicycle to travel to work based on the distance from home to work
predicting how many minutes it will take someone to run a race based on past race times
Q39. What are two tasks that can be performed by using computer vision?
Predict stock prices.
Detect brands in an image.
Detect the color scheme in an image
Translate text between languages.
Extract key phrases.
Q40. 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?
anomaly detection
conversational AI
computer vision
natural language processing
Q41. 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?
anomaly detection
semantic segmentation
regression
natural language processing
Q42. 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.
Q43. Which AI service can you use to interpret the meaning of a user input such as "Call me back later?"
Translator Text
Text Analytics
Speech
Language Understanding (LUIS)
Q44. You are developing a chatbot solution in Azure. Which service should you use to determine a user's intent?
Translator Text
QnA Maker
Speech
Language Understanding (LUIS)
Q45. You need to make the press releases of your company available in a range of languages. Which service should you use?
Translator Text
Text Analytics
Speech
Language Understanding (LUIS)
Yes, Yes, No
Yes, No, Yes
No, Yes, Yes
No, No, Yes
Yes, Yes, No
Yes, No, Yes
No, Yes, Yes
No, No, Yes
Q49. 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?
language detection
sentiment analysis
key phrase extraction
entity recognition
entity recognition
key phrase extraction
sentiment analysis
translation
Q55. 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?
Generate the questions and answers from an existing webpage.
Use automated machine learning to train a model based on a le that contains the questions.
Manually enter the questions and answers.
Connect the bot to the Cortana channel and ask questions by using Cortana.
Import chit-chat content from a predened data source.
a sentiment analysis solution
a chatbot
a machine learning model
a computer vision application
Q63. You are building an AI system. Which task should you include to ensure that the service meets the Microsoft transparency principle for responsible AI?
Ensure that all visuals have an associated text that can be read by a screen reader.
Enable autoscaling to ensure that a service scales based on demand.
Provide documentation to help developers debug code.
Ensure that a training dataset is representative of the population.
Q64. 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 specic user groups. This an example of which Microsoft guiding principle for responsible AI?
accountability
fairness
inclusiveness
privacy and security
Q65. What are three Microsoft guiding principles for responsible AI?
reliability and safety
decisiveness
inclusiveness
fairness
opinionatedness
Q66. 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?
the Verify operation in the Face service
the Detect operation in the Face service
the Describe Image operation in the Computer Vision service
the Analyze Image operation in the Computer Vision service
Q67. A medical research project uses a large anonymized dataset of brain scan images that are categorized into predened 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?
clustering
regression
classication
Q68. When training a model, why should you randomly split the rows into separate subsets?
to train the model twice to attain better accuracy
to train multiple models simultaneously to attain better performance
to test the model by using data that was not used to train the model
Q69. 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?
Use a graphical user interface (GUI) to run automated machine learning experiments.
Create a compute instance to use as a workstation.
Use a graphical user interface (GUI) to dene and run machine learning experiments from Azure Machine Learning designer.
Create a dataset from a comma-separated value (CSV) file.
Q70. In which two scenarios can you use the Form Recognizer service?
Extract the invoice number from an invoice.
Translate a form from French to English.
Find image of product in a catalog.
Identity the retailer from a receipt.
Q71. In which two scenarios can you use speech recognition?
an in-car system that reads text messages aloud
providing closed captions for recorded or live videos
creating an automated public address system for a train station
creating a transcript of a telephone call or meeting
Q72. 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?
Text Analytics
Translator Text
Speech
Language Understanding (LUIS)
Q73. Which scenario is an example of a webchat bot?
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.
Translate into English questions entered by customers at a kiosk so that the appropriate person can call the customers back.
Accept questions through email, and then route the email messages to the correct person based on the content of the message.
From a website interface, answer common questions about scheduled events and ticket purchases for a music festival.
Sentiment analysis, Key phrase extraction, Entity Recognition
Language detection, Sentiment analysis, Key phrase extraction
Language detection, Key phrase extraction, Entity Recognition
Sentiment analysis, Entity Recognition, Key phrase extraction
Key phrase extraction, Sentiment analysis, Translation
Key phrase extraction, Sentiment analysis, Speech recognition and speech synthesis
Key phrase extraction, Sentiment analysis, Natural language processing
Key phrase extraction, Natural language processing, Translation
