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GARGI GIRLS SCHOOL
ARTIICIAL INTELLIGENCE (SUBJECT CODE- 843)
CLASS XII (SESSION 202 1 - 2022 )
PER-BOARD EXAM TERM - 1
Max. Time Allowed: 60 mins Max. Marks: 25
General Instructions :
1. Please read the instructions carefully
- This Question Paper is divided into 03 sections, viz., Section A, Section B and Section C.
3. Section A is of 05 marks and has 06 questions on Employability Skills.
4. Section B is of 15 marks and has 20 questions on Subject specific Skills.
5. Section C is of 05 marks and has 07 competency-based questions.
6. Marks allotted are mentioned against each section/question.
7. 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. What rules must be followed to write a paragraph? a. It must be focused on the topic. b. Avoid repeating sentences. c. Arranged in a logical sequence. d. All of these.
2. What is/are the reason/reasons behind Lack of self^ –^ confidence? a. Lack of initiative b. Fear of failure c. Both a & b d. Positive affirmation
3. Which of the following show/shows that you are able to work independently? a. Able to prioritise task. b. Take responsibility of any mistake. c. Always deliver your best d. All of these.
4. Pressing^ ____ __________ key opens the Start menu. a. Windows b. Alt + Windows c. Ctrl + Windows d. Alt + Ctrl + Windows
5. What is/are the role/roles^ of ICT in Medical Science and health care? a. Innovation in medical equipment. b. Collaboration of doctors for better cures and inventions. c. Challenging operations are possible due to computers. d. All of these.
6. “Shimla is a beautiful travel destination”. What^ type of sentence is it? a. Complex sentence b. Simple sentence c. Compound sentence d. Both a & b
SECTION B Answer any 15 questions out of the given 20 questions (1 x 15 = 15 marks)
7. For a computer system, every piece of data has to be represented in some form of ____________________________ expression. a. Mathematical b. Artificial c. Pixel d. Logical
8. “Ravi”, “@” and “10-Jun-2022” are examples of __________. a. Data feature b. Data format c. Complex data-type d. Testing data
9. To make decisions, ________________ is necessary. a. Information b. Intelligence c. Both a) and b) d. Programming
10. Which of the following types of machines are under research? a. Reactive machine b. Limited memory machine c. Theory of mind machine d. Self-aware machine
11. 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
12. AI is suitable to use with social media platforms in which of the following ways? a. AI can learn from the data b. Bulk of data is sufficient for AI to train itself c. Both a) and b) d. None of these
13. Which of the following is FALSE for neural networks? a. Artificial neurons are similar in operation to biological neurons. b. Training time for a neural network depends on network size. c. Neural networks can be simulated on conventional computers. d. The basic unit of neural networks are neurons.
14. Ethical principles serve as a guideline to distinguish between __________ and ___________. a. Pass, fail b. wrong, right c. success, failure d. Any of these
15. In a data-set, the amount paid is not there in some records. These values are called ____________ values and can be _____________________. a. Numeric, calculated b. Missing, omitted c. Missing, calculated d. Numeric, omitted
16. Imagine, you are working with “IBM” and you want to develop a machine 1^ learning algorithm which predicts the number of views on the articles. Your analysis is based on features like author name, number of articles written by the same author in IBM in past and a few other features. Which of the following evaluation metric would you choose in that case? 1. Mean Square Error 2. Accuracy 3. F1 Score a. Only 1 b. Only 2 c. Only 3 d. 1 and 3
17. CCTV and satellites generate ____________ data. a. Complex b. Live c. Both a) and b) d. None of these
18. What happens when narrative and visuals are merged in a data story? (a) It engages and entertains the audience. (b) It explains the story to audience. (c) It enlightens the audience. (d) It changes the narrative.
19. What is the problem(s) with this set of response categories to the question^ “What is your current age?” 1 - 5 5 - 10 10 - 20 20 - 30 30 - 40 a. The categories are not mutually exclusive b. The categories are not exhaustive c. Both a and b are problems d. There is no problem with the above set of response categories
“Correlation” measures both the strength and direction of the linear relationship between two variables. (b) “Covariance” indicates the strength and direction of the linear relationship between two variables while “Correlation” measures direction of the linear relationship between variables. (c) “Covariance” indicates the strength of the linear relationship between variables while “Correlation” measures the direction of the linear relationship between two variables. (d) “Covariance” indicates the strength of the linear relationship between variables while “Correlation” measures both the strength and direction of the linear relationship between two variables in certain situations only.
30. What can you not interpret from the below data story for user on using Uber as a service?
(a) The drivers have rated the user high. (b) It has been almost 4 years since user joined Uber. (c) The number of miles travelled in Uber are comparable to 13,080 Olympic-sized pools. (d) The user has paid almost USD 100,000 in trips
31. The following data is used to apply a linear regression algorithm with least squares regression line Y=a 1 X. Then, the approximate value of a 1 is given by:(X-Independent variable, Y-Dependent variable) X 1 20 30 40 Y 1 400 800 1300 (A) 27.876 (B) 32.650 (C) 40.541 (D) 28.
32. (^) Which of the following is true for Cross Entropy?
(a) A skewed distribution has low entropy whereas a distribution where events have equal probability has a larger entropy. (b) A skewed distribution has high entropy whereas a distribution where events have equal probability has a larger entropy. (c) A skewed distribution has zero entropy whereas a distribution where events have equal probability has a larger entropy. (d) A skewed distribution has low entropy whereas a distribution where events have equal probability has zero entropy.
33. How do you choose the right node while constructing a decision tree? a. An attribute having high entropy b. An attribute having high entropy and information gain c. An attribute having the lowest information gain. d. An attribute having the highest information gain.
GARGI GIRLS’ SCHOOL
ARTIICIAL INTELLIGENCE (SUBJECT CODE- 843)
CLASS XII (SESSION 202 1 - 2022 )
PER-BOARD EXAM TERM - 1
ANSWER KEY
SECTION A
- (d) 2. (c) 3. (d) 4. (a) 5. (d) 6. (b)
SECTION B
- (a) 8. (a) 9. (c) 10. (d) 11. (c) 12. (c) 13. (a) 14. (b)
- (c) 16. (d) 17. (c) 18. (a) 19. (c) 20. (a) 21. (c) 22. (a)
- (d) 24. (d) 25. (b) 26. (a)
SECTION C
- (a) 28. (d) 29. (a) 30. (d) 31. (d) 32. (a) 33. (b)
