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Artificial intelligence sample papers.
Typology: Schemes and Mind Maps
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General Instructions:
1. Please read the instructions carefully. 2. This Question Paper consists of 21 questions in two sections: Section A & Section B. 3. Section A has Objective type questions whereas Section B contains Subjective type questions. 4. Out of the given (5 + 16 =) 21 questions, a candidate has to answer (5 + 10 =) 15 questions in the allotted (maximum) time of 2 hours. 5. All questions of a particular section must be attempted in the correct order. 6. SECTION A - OBJECTIVE TYPE QUESTIONS (24 MARKS): i. This section has 05 questions. ii. Marks allotted are mentioned against each question/part. iii. There is no negative marking. 7. SECTION B – SUBJECTIVE TYPE QUESTIONS (26 MARKS): i. This section has 16 questions. ii. A candidate has to do 10 questions. iii. Marks allotted are mentioned against each question/part. SECTION A– OBJECTIVE TYPE QUESTIONS Q.1 Answer any 4 out of the given 6 questions on Employability Skills (1 x 4 = 4 marks) [4] (^1) Which of these is not a Green Job? (a) Biofuel Jobs (b) Clean Car Engineers (c) Urban Growers (d) Car Drivers 2 Ms Sharma has saved marks of all students in a spreadsheet. What should she do to find out three students with the highest total marks? She can sort the data on the total mark. (^3) Which of the following is one of the steps of active listening? (a) (^) Concentrate (c) Absorb (b) (^) Answer (d) Trust 4 Define any one quality of an entrepreneur. Willingness to take risk 5 Self-motivation is important because, give a reason. Can excel in life 6 Which personality disorder is marked by an ongoing pattern of varying moods? Border line disorder Q.2 Answer any 5 out of the given 6 questions. (1 x 5 = 5 marks) [5] (^1) Which of these are performance metrics in modeling? (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) (^2) ………… is used for running the modeling process on different subsets of the data to get multiple measures of model quality. (a) Cross-validation Procedure (b) Train Test Split (c) Experimental Modeling (d) Hypothesis Test (^3) Which of these is the code for train and test data split of 0.2? (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) Pre Board -1(2022-2023) Class: XII Artificial Intelligence Time: 2 Hrs (^) Max. Marks: 50
(d) x_train,x_test,y_train,y_test=train_test_split(x,y,test_size=1) (^4) ………… analytical approach in Data Science answers the question – How do we solve it? (a) Prescriptive (b) Descriptive (c) Diagnostic (d) Predictive (^5) Which of the following is a component of decomposing time series that involves random variation in the series? (a) Level (b) Trend (c) Seasonality (d) Noise (^6) Which of these is not a step in AI Project Life Cycle? (a) Data Gathering (b) AI Model Construction (c) Evaluation (d) Manual Testing Q.3 Answer any 5 out of the given 6 questions. (1 x 5 = 5 marks) [5] (^1) What are the objectives of the testing team in AI modeling? (i) Model Validation (ii) Successful Learnability (iii) Accurate Results (iv) Algorithm Effectiveness (a) (i), (ii) and (iii) (b) (i) and (ii) (c) (ii), (iii) and (iv) (d) (i), (ii) and (iv) (^2) Which of these is not an AI platform? (a) Microsoft Azure AI Platform (b) Google Cloud AI Platform (c) IBM Watson Developer Platform (d) HDFC AI Platform (^3) Which of these are common % split between Train and Test Data? (i) Train: 80%, Test: 20% (ii) Train: 67%, Test: 33% (iii) Train: 50%, Test: 50% (iv) Train: 10%, Test: 90% (a) (i) and (ii) (b) (ii), (iii) and (iv) (c) (ii) and (iv) (d) (i), (ii) and (iii) (^4) Which of the following is not a classification loss? (a) Log Loss (b) Focal Loss (c) Exponential Loss (d) Quantile Loss (^5) A loss function is a measure of how good a prediction model is in terms of being able to predict the expected outcome. (i) The loss function will output a lower number, if the predictions are good. (ii) The loss function will output 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. (^6) Which of these is not a reason why Data Storytelling is important? (a) It helps standardize communication and spreads results. (b) It is more convincing as it has data backing a story or claim.
(c) It enlightens the audience. (d) It changes the narrative. Q.5 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks) [5] 1 You would interview people to gain an understanding of how they feel during the stage of Design Thinking
2 What is Problem Scoping?
The above given steps are for collecting data from which of the following data sources?
4 A leading multinational company operates on a chain of hypermarkets and grocery stores 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?
5 Data about the houses such as square footage, number of rooms, features, whether a house 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
6 Consider the following data where one input(X) and one output(Y) is given
What would be the root mean square training error for this data if you run a Linear Regression model of the form (Y = A0+A1X)?
Answer any 3 out of the given 5 questions on Employability Skills (2 x 3 = 6 marks) Answer each question in 20 – 30 words
Q.6 Why is self-management important? Give one example. Q.7 Define any two of the following personality disorders a. Paranoid b. Anti-social c. Obsessive d. Compulsive Q.8 Mention two steps in which we can save a workbook. Q.9 List out any four benefits of green jobs. Q.10 Name two qualities of a person with entrepreneurial skills. Explain in a sentence each. Answer any 4 out of the given 6 questions in 20 – 30 words each (2 x 4 = 8 marks) [8] Q.11 What is Analytical Approach? Explain with example that what kind of approach you will choose if you have to determine probabilities of an action. Q.12 What is the full form of RMSE and MSE? What is the use of MSE? When to use MSE? Q.13 What are some key steps in the problem scoping stage of AI project life cycle? Q.14 What is the meaning of stakeholder? Who are the typically stakeholders in AI project life cycle? Q.15 Explain the importance of data story telling in detail. Q.16 What are the steps that can assist in finding compelling stories in the data sets? Answer any 3 out of the given 5 questions in 50– 80 words each (4 x 3 = 12 marks) [12] Q.17 What do you understand by time series decomposition and what are its four components? Q.18 Below chart gives the consumption of flowers and plants in US Dollar millions.
Convert given data in to tabular format.
Write any two stories that below graph convey to you.