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a) Qna Maker
b) Language understanding (LUIS)
c) Test Analysis
d) Speech text
2) You build machine learning model by using automated machine learning user interface (UI). you need to ensure thta model meet the microsoft transparency principle for responsible AI what should you do ?
a) Set vaildation type to Auto.
b) Enable Explain best model
c) Set Primary metic to accurency.
3)Which scenario is an example of webchart bot?
a) Determine whether review entered on website for concert are positive or negative, and then add thumbs up or thumps down emoji to reviews. b) Translate into English questions entered by customer at koisk so that appropriate person can call the customer back.
c) Accept questions through email , and then route the email messages to correct person based on content messages.
d) From Website interface , answer common question about scheduled events and ticket purchases for music festival.
4) For machine Learning Process , how should you spilt data for training and evaluation ?
a) Use features for training and Labesl for evalution.
b) Randomly split the data into rows for trainig and rows for evalution.
c) Use labels for training and features for evolution.
d) Randomly split the data into column for training and columns for evaluations.
5)Which of following is calculated probity of correct image classification
A)Accuracy
b)Confidence
c) Root Mean Square Error.
d) Sentiment
6)Ensuring AI system dows not provide a prediction when important fields conation unusual or missing values is *** principle for responsible AI.
a) an inclusiveness
b) a privacy and security
c) a reliability and safety
d) a transparency
7) Ensuring that numeric variable in variable data are on similar scale is example of *** **
a) Data ingestion
b) Feature engineering
c) Feature selection
d) Model training
8) You want to create a model to predict sales of ice cream based on historic data that includes daily ice cream sales total and weather measurement. what Azure service should you use ?
a) Azure Machine Learning
b) Azure Bot.
c) Language
9) The interactive answering of question entered by user as part an application is an example of
a)anomaly detection
b) computer vision
c)conversation AI
d)forecasting
10)You are designing an AI Application that uses images to detect creks in windows-panes of building and warns when windows pane should be repaired or replaced. What AI workload is described ?
a)Computer Vision
b) Natural Language Processing.
c) Anomaly Detection
13 >Match the column
Regression Predict How many minutes a late flight will arrive based on the amount of snowfall at an airport
clustering Segment customer into different group to support a marketing department
Classification Predict wheatear a student will complete a university course
14) A Predictive app provide audio output for visually impaired used.which principle of Responsible AI is reflected here ?
a) Transparency
b) inclusiveness
c) Fainness
15) You need to determine the location of cars in an image so that can estimate the distance between that cars. Which type computer vision should you use ?
a) optical character recognition (OCR)
b)object detection
c) Image classification
d) face detection.
16) Azure Machine Learing desinger lets you create machine learning models by:
b) Feature engineering
c) Feature selection
d) Model training
8) You want to create a model to predict sales of ice cream based on historic data that includes daily ice cream sales total and weather measurement. what Azure service should you use ?
a) Azure Machine Learning
b) Azure Bot.
c) Language
9) The interactive answering of question entered by user as part an application is an example of
a)anomaly detection
b) computer vision
c)conversation AI
d)forecasting
10)You are designing an AI Application that uses images to detect creks in windows-panes of building and warns when windows pane should be repaired or replaced. What AI workload is described ?
a)Computer Vision
b) Natural Language Processing.
c) Anomaly Detection
13 >Match the column
Regression Predict How many minutes a late flight will arrive based on the amount of snowfall at an airport
clustering Segment customer into different group to support a marketing department
Classification Predict wheatear a student will complete a university course
14) A Predictive app provide audio output for visually impaired used.which principle of Responsible AI is reflected here ?
a) Transparency
b) inclusiveness
c) Fainness
15) You need to determine the location of cars in an image so that can estimate the distance between that cars. Which type computer vision should you use ?
a) optical character recognition (OCR)
b)object detection
c) Image classification
d) face detection.
16) Azure Machine Learing desinger lets you create machine learning models by:
a) Adding and connecting modules on visaul canvas.
b)automatically performing common data preparation tasks.
c)automatically selecting an algorithm to build the most accurate model.
d) using a code-fiart notebook experience.
17) 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 example of which Microsoft guiding principle for responsible AI?
a) Accountability
b) fairness
c) inclusiveness
c)automatically selecting an algorithm to build the most accurate model.
d) using a code-fiart notebook experience.
17) 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 example of which Microsoft guiding principle for responsible AI?
a) Accountability
b) fairness
c) inclusiveness
d) Private and security.
18) A housing dealership wants to use historic apartment sales data to train a machine learning model. The model should predict the price of pre-owned apartment based on its location, size and apartment aging. what kind of machine model should dealership use automated machine learning to create ?
18) A housing dealership wants to use historic apartment sales data to train a machine learning model. The model should predict the price of pre-owned apartment based on its location, size and apartment aging. what kind of machine model should dealership use automated machine learning to create ?
a) classification
b) regression
c) Time series forecasting
20) What are three Microsoft guiding principles for responsible AI >
b) regression
c) Time series forecasting
20) What are three Microsoft guiding principles for responsible AI >
a) Knowledgeability
b)decisiveness
c) inclusiveness
d) fairness
e)reliability and safety
21> A bank wants to use historic credit card repayment records to categorize credit card application as low-risk or high risk based on characterises like the credit amount, the income of borrower and credit peroid. What kind of machine learning model should bank use automated machine learning to create ?
a)Classification
b)Regression
c)Time series forecasting
Note :: Numeric ---> Regression
23) Predicating how many hours of overtime a delivery a delivery person will work based on number of order received is example of
a) classification
b) Clustering
c)Regression
c) inclusiveness
d) fairness
e)reliability and safety
21> A bank wants to use historic credit card repayment records to categorize credit card application as low-risk or high risk based on characterises like the credit amount, the income of borrower and credit peroid. What kind of machine learning model should bank use automated machine learning to create ?
a)Classification
b)Regression
c)Time series forecasting
Note :: Numeric ---> Regression
Category ---> Classification
23) Predicating how many hours of overtime a delivery a delivery person will work based on number of order received is example of a) classification
b) Clustering
c)Regression
24) Which following service should you use to train an object detection model by using own images.
a) Computer vision
b) Custom vision
c)Form Recognizer
d)Video indexer
25) You are creating training pipeline for regression model. You use a dataset has multiple numeric column in which values on different scales. you want to transform the numeric column so that values are all on similar scale.You also want reformation to scale relative to maximum and maximum values in each column. Which module you add to pipeline?
a) Select Column in Dataset
b)Normalise Data.
c)Clean missing Data.
26)What are two tasks that can performed by using Computer Vision service ?
a) Trian A custome image classification model.
b) Detect faces in an image.
C) Recognise hadwritten text.
d) Translate the text in an image between languages.
27)You are working in a tour & tourism company.Your company wants to use the Computer Vision service to analyse image of location and identify well-known monuments. What should you do ?
a) Retrieve the objects in the image
b)Retrieve the categories for image, specifying the celebrations domain
c)Retrieve the categories for image, specifying the landmarks domain
28) Why do you spilt data into training and validation sets ?
a) Data is split two sets in order to create two models, one models with trining set and a different model with validation set.
b) Splitting data into two set enables you to compare the labesl that model redicits with the actaul known lables in original dataset.
c)Only split data when you use Azure Machine Learing Designer ,not in other machine learing scenarios.
29)What are two metrics that you can use to evaluate a regression model ?
a)coefficient of determination (R2)
b) root mean squared error(RMSE)
c) F1 score
d) area under cureve (AUC)
e) balanced accuracy
30)You are processing photos of runners in race.You need to read the numbers on runners shirts to identify the the runners in photoes.Which type of computer vision should you use ?
a) facial recognition
b) optical character recognition (OCR)
c) semantic segemention
d) object detecton
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