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

Computer science

CBSE based sample paper for artificial intelligence.

Typology: Exams

2022/2023

Uploaded on 01/07/2023

SHADOWNINJA1738
SHADOWNINJA1738 🇮🇳

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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
pf3
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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

ii. _____ is the stage in the Design Thinking process where an idea becomes a real solution. a) Ideate b) Prototype c) Test d) Define iii. Problem decomposition means… a) Break down the problem into smaller units after coding. b) Break down the problem into smaller units before coding c) Both (a) and (b) d) None of these iv. Which stage lays foundation for successful resolution of business problem and is hardest? a) Business Understanding b) Data Requirements c) Modelling d) Deployment v. In ___________, we run our modelling process on different subsets of the data to get multiple measures of model quality. a) Train-test-split b) Cross-validation c) Evaluation d) Decision trees vi. Regression functions predict a _________, and classification functions predict a ___ a) quantity, label b) label, quantity c) label, label d) quantity, quantity Q 5. Answer any 5 out of the given 6 questions (1 x 5 = 5 marks) i. Which of these are performance metrics in modelling? (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) ii. Which of the following is not a classification loss? a) Log Loss b) Focal Loss c) Exponential Loss

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.

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).

(c) Assertion (A) is true, but Reason (R) is false. (d) Assertion (A) is false, but Reason (R) is true. v. Which of the following is not a development tool in building an Al model? (a) TensorFlow (b) Azure ML Studio (c) Anaconda (d) Sagemaker vi. Which of the following is a key success factor to be considered in designing an Al model? (a) Initiative (b) Visual modelling (c) Effective evaluation (d) Model validation Q5. Answer any 5 out of the given 6 questions (1 x 5 = 5 marks) i. Mention any 1 SDG goal related to social cause. ii. "Your team must create test suites that help you to validate your ML models." Under which stage of an Al project lifecycle does the above statement fall? (a) Design/Building the Model (b) Scoping (c) Testing (d) Requirement Analysis iii. The Train-Test-Split is a technique for evaluating the performance of a algorithm. (a) Rule-Based b) Machine Learning (c) Data Science (d) Prediction iv. In ,__________we run our modelling process on different subsets of the data to get multiple measures of model quality. (a) Train-Test Split (b) Machine Learning (c) Cross-Validation (d) Validation v. _______ is the last stage of AI model lifecycle. vi. _________ is required if you want to apply any AI technique to your model.’ Answer each question in 20 – 30 words. Q. 6 Describe the ways you can make positive thinking a habit in life. Q. 7 Entrepreneurship is considered to be both an art and a science. Comment. Q. 8 How will you describe a personality disorder? Q. 9 Name an entrepreneur you admire and what do you admire about the person. Q. 10 How will you add values using Sum () function? Answer any 4 out of the given 6 questions in 20 – 30 words each (2 x 4 = 8 marks) Q11. Define Analytical Approach. Q12. Define train test evolution method. Q13. Write the elements that make a compelling data story.

Q14. What is a loss function? Name 2 loss functions of Regression. Also mention their formula.

Q15. Explain the cross-validation technique. Mention 1 advantage of this technique also.

Q16. Why is it necessary to evaluate our AI model? What do understand by the Deployment stage?

Answer any 3 out of the given 5 questions in 50– 80 words each (4 x 3 = 12 marks)

Q17. Study the following image. Explain the stages – Data Requirements, Data Preparation and Feedback.

Q18. With reference to data storytelling, consider the following diagram, Name A, B, C and D.