CBSE CLASS 12 AI SAMPLE QUESTION PAPER, Exams of Computer science

Download CBSE CLASS 12 AI SAMPLE QUESTION PAPER and more Exams Computer science in PDF only on Docsity! ARMY PUBLIC SCHOOL BOLARUM MOCK TEST (2022-23) SET - A Class : XII Time : 2Hrs Subject: Artificial Intelligence (843) Max.Marks : 50 Q. 1 Answer any 4 out of the given 6 questions on Employability Skills (1 x 4 = 4 marks) i. ___________________ personality disorder is a personality disorder that is characterized by extreme perfectionism, order, and neatness. ii. Amit is 17 years old boy, studying in class XI. He is focused and determined to pursue designing as a career. He leaves no stone unturned to do his best in academics. He is hardworking towards studies & sports both. He has been selected as class monitor by his class teacher because of his dependable nature. He takes good care of class property and keeps everything well in place in an organized manner. At home as well, his books are well organized in his bookshelf. Which personality trait is dominantly observed in Amit? a. Conscientiousness b. Extraversion. c. Openness to experience iii. This bar of a Calc Screen contains icons (buttons) to provide quick access to commands such as New, Open, Print, Copy and Paste etc. Which is this bar? a. Title bar b. Menu bar c. Standard bar iv. In a spreadsheet, if you enter data in the form of numbers, what is the default alignment in a cell? a. Left Aligned b.Right Aligned c. Centre Aligned v. Which of the following can be a barrier to becoming an entrepreneur? a. Employee related difficulties b. Interacting with customers. c. Gaining and analysing insight vi. A company that is in the first stage of its operations is known as a ____________. Q. 2 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks) i. A researcher wants to study the association between gender and using a mobile phone. Data collected for this study will be ______ a. Qualitative data b. Quantitative data c. Continuous data d. Classified data ii. Primary way to collect DATA (Data Gathering process)? a. Experiment b. Survey c. Interview d. Observation iii. The data scientist will use ___________ for predictive modelling? a. Artificial Intelligence b. Machine Learning c. Training Set d. Deep Learning iv. Which one does NOT belong with Classification loss? a. Log loss b. Mean Absolute Error c. Exponential Loss d. Hinge Loss v. Which process does NOT come under Capstone Project? a. AI Model b. AI Project Cycle c. Deployment d. Data Gathering vi. In Design Thinking, ____ phase involves gathering user feedback on the prototypes you've created as well as obtaining a better understanding of your users. a) Prototype b) Test c) Ideate d) Empathize Q 3. Answer any 5 out of the given 6 questions (1 x 5 = 5 marks) i. Which one does NOT belong with Regression loss? a. Log Loss b. Mean Absolute Error c. Log cosh Loss d. Quantile Loss ii. Choose Correct Option a. Scope >> Acquire >> Explore >> Prepare>> Model>> Assess >>Deploy>> Batch b. Scope >> Acquire >> Explore >> Prepare>> Model>> Deploy>>Real Time>> Batch c. Scope >> Acquire >> Prepare >> Assess >>Deploy>> Batch>>Real Time>> Explore d. Scope >> Acquire >> Explore >> Model >> Prepare>>Assess >>Deploy>> Batch d) Quantile Loss iii. What is the meaning of Mean Squared Error in regression? 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. iv. Which of the following is not an AI development tool platform? a) Watson Studio b) Sagemaker c) Microsoft Azure ML Studio d) Kotak AI Tool v. Statement 1: AI is getting integrated into our lives seamlessly. Statement 2: Often we do not even realize that we are using AI. a) Statement 2 is correct and Statement 1 is incorrect. b) Statement 1 is correct and Statement 2 is incorrect c) Both Statement1 and Statement2 are correct d) Both Statement1 and Statement2 are incorrect vi. Which of the following is not a step of AI Project Life Cycle? a) Data Gathering b) AI Model Construction c) Evaluation d) Manual Testing 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 Explain any two parameters that describe an individual’s personality in the ‘Five Factor Model’. 2 Q. 7 How are books & music considered as sources of motivation & inspiration? 2 Q. 8 Write the steps to protect worksheet or Calc document using option of Tools menu. 2 Q. 9 Why are ‘persistence’ and ‘commitment’ considered as competencies for an entrepreneur? 2 Q. 10 Differentiate between ‘technical’ and ‘non-technical entrepreneurs’. 2 Answer any 4 out of the given 6 questions in 20 – 30 words each (2 x 4 = 8 marks) Q. 11 What are the steps every AI project follows? Q. 12 Which question needs to be asked while doing the predictive analysis of the AI Project? Q. 13 What are the different stages of Design Thinking? Explain each step briefly. Q. 14 What are the steps we need to follow while decomposing the problem? Q. 15 What do you understand by mean absolute error? Q. 16 What are the steps involved in telling an effective data story? Answer any 3 out of the given 5 questions in 50– 80 words each (4 x 3 = 12 marks) Q. 17 What are the different elements of Storytelling? Explain each element briefly. Q. 18 What are the three main stages of AI project lifecycle. Explain each stages briefly. Q. 19 How data requirements for decision-tree classification are done? Q. 20 (a) List the steps of creating an effective data story. (b) Which of the following is a better data story? Give reasons. Q21. Consider the following data: X Y 34 38 37 39 46 51 34 41 38 43 Regression Equation: 0.6x + 18.3 Calculate the RMSE(Root means Square Error) for the above data. ARMY PUBLIC SCHOOL BOLARUM MOCK TEST (2022-23) SET - B Class : XII Time : 2Hrs Subject: Artificial Intelligence (843) Max.Marks : 50 Q. 1 Answer any 4 out of the given 6 questions on Employability Skills (1 x 4 = 4 marks) i. What will you do to select an entire worksheet in a spreadsheet? ii. What is the shortcut key to underline text in a spreadsheet? iii. What do you understand by attitude? iv. Define neuroticism. v. Why is the Big 5-factor model of personality important? vi. Who is a first-generation entrepreneur? Q. 2 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks) i. Choose the correct option of the five stages of Design Thinking a. empathise->Ideate->Define->Test->prototype b. empathise->Define->Ideate->prototype->Test c. Ideate->Empathise->Define->Test->Prototype d. Define->Ideate->Empathise->Test->Prototype ii. Machine learning models rely on minimizing or maximizing a __________ function. iii. Design thinking is the process of ______. iv. Which is the most popular Artificial Intelligence programming used? v. ______ function predicts the quantity of data model. vi. Write the formula for calculating root mean squared error(RMSE) Q3. Answer any 5 out of the given 6 questions (1 x 5 = 5 marks) i. ________ is the first stage of Analytical Approach. ii. Each data point holds some_____________ which may be unclear and contextually different on its own. iii. _________ is the iterative process comprising all the steps relevant to building the AI or machine learning model: data acquisition, exploration, preparation, cleaning, feature engineering, testing and running a set of models to try to predict behaviours or discover insights in the data. iv. When narrative and visuals are merged together, they can _________ an audience. v. An RMSE model should have less thank _________values vi. Techniques such as descriptive statistics and ______ can be applied to dataset to access the content, quality and initial insight about the data. Q4. Answer any 5 out of the given 6 questions (1 x 5 = 5 marks) i. In ________ we run our modelling process on different subsets of the data to get multiple measures of model quality. ii. __________ is the first step involved in telling an effective story. iii. The data scientist use _________for predicting model. a. algorithm b. Training set c. data compilation d. Data preparation iv. Assertion (A) : The Train-Test procedure is appropriate when there is a sufficiently large dataset available. Reason (R) : The larger the dataset, the more accurate is the prediction. (a) Both Assertion (A) and Reason (R) are true and Reason (R) is the correct explanation of Assertion (A) (b) Both Assertion (A) and Reason (R) are true, but Reason (R) is not the correct explanation of Assertion (A).