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Class 12: Artificial Intelligence
General Instructions:
Please read the instructions carefully
This Question Paper is divided into 03 sections, viz., Section A, Section B and Section C.
Section A is of 05 marks and has 06 questions on Employability Skills.
Section B is of 15 marks and has 20 questions on Subject specific Skills.
Section C is of 05 marks and has 07 competency-based questions.
Do as per the instructions given in the respective sections.
Marks allotted are mentioned against each Section/question.
All questions must be attempted in the correct order SECTION A Answer any 5 questions out of the given 6 questions on Employability Skills (1 x 5 = 5 marks) 1 Which of the following can help you to manage time – 1 a) Talking to friends b) Making a to – do – list c) Watching a favorite movie d) Postpone the planned activity 2 Which of the following is not a quality of a self-motivated person? 1 a) Focused b) Positive c) Authoritative d) Dedicated 3 ________is the shortcut to opening a workbook in Open Office Calc. 1 a) CTRL+O b) CTRL+S c) CTRL+R d) CTRL+P 4 When the listener judges the content of the message it is called ______? 1 a) Understanding b) Evaluating c) Responding d) Remembering
Page No : 1 © Nirma Vidyavihar No part of the content may be reproduced, without prior permission 5 Which of the following is not a Presentation Software? 1 a) Open Office Impress b) Power Point c) Client Office Impress d) Libre Office Impress 6 Feeling extremely nervous and worried because you believe that other people do not like 1 you or they are trying to harm you, is which kind of personality disorder? a) Schizoid b) Paranoid c) Avoidant d) Obsessive SECTION B Answer any 15 questions out of the given 20 questions (1 x 15 = 15 marks) 7 Which of the following is not a step of AI Project Life Cycle? 1 a) Data Gathering b) AI Model Construction c) Evaluation d) Manual Testing 8 In a confusion matrix handling data for a model predicting breast cancer, what does False 1 Positive refer to… a) model predicted positive and the person has breast cancer in reality b) model predicted negative and the person has breast cancer in reality c) model predicted positive and the person does not have breast cancer in reality d) model predicted negative and the person does not have breast cancer in reality. 9 One of the most common causes of failure or delay of AI projects is… 1 a) Wrong Goal Setting b) Late Testing c) Wrong Prototype d) Erroneous Problem Scoping 10 Which of the following is not a design thinking stage? 1 a) Ideate b) Test Data
15 Regression functions predict a _________, and classification functions predict a _______. 1 a) quantity, label b) label, quantity Page No : 3 © Nirma Vidyavihar No part of the content may be reproduced, without prior permission c) label, label d) quantity, quantity 16 "Techniques such as descriptive statistics and visualization can be applied to the data set, 1 to assess the content, quality, and initial insights about the data." Identify the stage of the AI project life cycle. a) Problem Scoping b) Data Exploration c) Modelling d) Evaluation 17 A _______ is a set of historical data in which the outcomes are already known. 1 a) Testing set b) Modelling c) Training set d) None of these 18 ___________ is sensitive towards outliers. 1 a) RMSE b) MSE c) Focal Loss d) All of these 19 Which of the following is a component of decomposing time series that involves random 1 variation in the series? a) Level b) Trend c) Seasonality d) Noise 20 _______ Analytical approach in Data Science answers the question – How do we solve it? 1 a) Prescriptive b) Descriptive c) Diagnostic d) Predictive
21 Given 80% of data is selected for training and remaining 20% for testing, and this 1 process is carried out for four times and error rate is averaged out, this validation technique can be called as _______ a) Hold-out Page No : 4 © Nirma Vidyavihar No part of the content may be reproduced, without prior permission b) K-fold cross-validation c) LOOCV d) Bootstrapping 22 Which of these are performance metrics in modelling? 1 (i) Classification Accuracy (ii) Model score (iii) Root Mean Square Error (iv) Test score a) (i) and (ii) b) (i) and (iv) c) (ii) and (iii) d) (i) and (iii) 23 Which of the following is not a classification loss? 1 a) Log Loss b) Focal Loss c) Exponential Loss d) Quantile Loss 24 What is the meaning of Mean Squared Error in regression? 1 a) MSE is the sum of squared distances between our target variable and predicted values. b) MSE is the sum of distances between our target variable and predicted values. c) MSE is the sum of cubic distances between our target variable and predicted values. d) MSE is the sum of distances between our mean and predicted values. 25 Which of the following is not an AI development tool platform? 1 a) Watson Studio b) Sagemaker c) Microsoft Azure ML Studio d) Kotak AI Tool
(iv) Train: 10%, Test: 90% a) (i) and (ii) b) (ii), (iii) and (iv) c) (ii) and (iv) d) (i), (ii) and (iii) 29 In a confusion matrix, TP=90 and FN=70. What is the Recall? 1 a) 0. b) 0. c) 1. d) 0. Page No : 6 © Nirma Vidyavihar No part of the content may be reproduced, without prior permission 30 A leading multinational company operates on a chain of hypermarkets and grocery stores 1 deployed an AI application to make it easier for employees to keep their stores running smoothly. They used thousands of video cameras, weighted sensors on shelves, and other technologies that can tell employees when certain products are starting to go bad. One of the tasks of the application is to identify bananas that had started to turn brown, eliminating the need for employees to manually inspect fruit. Which of the following domain is used to achieve this? a) Data sciences b) Computer vision c) Natural Language Processing d) Fuzzy logic 31 Data about the houses such as square footage, number of rooms, features, whether a house 1 has a garden or not, and the prices of these houses, i.e., the corresponding labels are fed into an AI machine. By leveraging data coming from thousands of houses, their features and prices, we can now train the model to predict a new house’s price. This is an example of … a) Reinforcement learning b) Supervised learning c) Unsupervised learning d) None of the above 32 Which of these is the code for train and test data split of 0.2? 1
a) x_train,x_test,y_train,y_test=train_test_split(x,y,test_size=0.2) b) x_train,x_test,y_train,y_test=train_test_split(x,y,test_size=0.8) c) x_train,x_test,y_train,y_test=train_test_split(x,y,test_size=0.5) d) x_train,x_test,y_train,y_test=train_test_split(x,y,test_size=1) 33 A loss function is a measure of how good a prediction model is in terms of being able to 1 predict the expected outcome. (i) The loss function will output a lower number, if the predictions are good. (ii) The loss function will output a greater number if the predictions are incorrect. a) Only (i) is correct. b) Only (ii) is correct. c) Either (i) or (ii) is correct. d) Both (i) and (ii) are correct. Page No : 7 © Nirma Vidyavihar No part of the content may be reproduced, without prior permission
