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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:
- 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.
- 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. (^) Which of these is not a benefit of Active Listening? (a) It helps us build connections. (b) It helps us build trust. (c) It helps us identify and solve problems. (d) It helps us earn money directly.
2. (^) ‘ Although Kartik had some issues, he found the company of Ashish very nice’ is an example of ........................ sentenc (a)Complex Sentence (b) Simple Sentence (c) Compound Sentence (d) Easy Sentence
3. (^) Which of these is not a Green Job?
(a) Biofuel Jobs (b) Clean Car Engineers (c) Urban Growers (d) Car Drivers
4. (^) is the format of writing a function in Open Office Calc. (a) =function_name (Open) (b) =function_name (c) =function_name (Argument1; Argument2; Argument3;. ........ ) (d) =function_name (New(Argument 1))
5. (^) ………… is the shortcut to opening a workbook in Open Office Calc. (a) CTRL+O (b) CTRL+S (c) CTRL+R (d) CTRL+P
6. (^) Which of these is not a benefit of Self-motivation? (a) It increases individual’s energy and activity. (b) It directs an individual towards specific goals. (c) It helps prevent catching any illness. (d) It results in initiation and persistence of specific activities.
SECTION B
Answer any 15 questions out of the given 20 questions (1 x 15 = 15 marks)
1. (^) Which of these is not a step in AI Project Life Cycle? (a) Data Gathering (b) AI Model Construction (c) Evaluation (d) Manual Testing
2. (^) 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
3. (^) ………… analytical approach in Data Science answers the question – How do we solve it?
(a) Prescriptive (b) Descriptive (c) Diagnostic (d) Predictive
4. (^) 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) (d)x_train,x_test,y_train,y_test=train_test_split(x,y,test_size=1)
5. (^) ………… is used for running the modelling process on different subsets of the data to get
multiple measures of model quality. (a) Cross-validation Procedure (b) Train Test Split (c) Experimental Modelling (d) Hypothesis Test
6. (^) 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)
7. (^) 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 supplies context, insight, interpretation. (d) It helps the user understand emotion behind the narrative.
8. 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 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.
9. (^) Which of the following is not a classification loss?
(a) Log Loss (b) Focal Loss (c) Exponential Loss (d) Quantile Loss
10. (^) What is the correct code for calculating Mean Absolute Error (MAE)?
(a) from sklearn.metrics import mean_absolute_error as mae #calculate MAE mae(actual, pred) (b) from tensorflow import mean #calculate MAE mae(actual, pred) (c) from sklearn.metrics import numpy #calculate MAE mae(actual, pred) (d) import matplotlib #calculate MAE mae(actual, pred)
11. (^) Which of these is not a component of data storytelling?
(a) Visuals (b) Narrative (c) Data (d) Model
12. (^) Which of the following is true?
(a) Regression functions predict a quantity and classification functions predict a label. (b) Regression functions predict a label and classification functions predict a quantity.
22. (^) What is the key purpose of activation function in ANN?
(a) To introduce non-linearity into the output of a neuron (b) To increase loss function (c) To manage bias in the algorithm (d) To handle outliers in the data set
23. (^) Which of the following is not correct for Keras and TensorFlow?
(a) Keras is a neural network library while TensorFlow is the open-source library for a number of various tasks in machine learning. (b) TensorFlow provides both high-level and low-level APIs while Keras provides only high-level APIs. (c) TensorFlow’s eager execution allows for immediate iteration along with intuitive debugging. (d) Keras is in Python while TensorFlow is in Java.
24. (^) Which of the following is true for Covariance and Correlation?
(a) “Covariance” indicates the direction of the linear relationship between variables while “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.
25. (^) 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)
26. (^) 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.
27. (^) Which of these is not an application of ANN?
(a) Stock forecasting (b) Fraud detection (c) Image Pre-processing (d) Mean calculation of data set.
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. (a) 3. (d) 4. (c) 5. (a) 6. (c)
SECTION B
- (d) 8. (d) 9. (a) 10. (a) 11. (a) 12. (d) 13. (d) 14. (d)
- (d) 16. (a) 17. (d) 18. (a) 19. (a) 20. (a) 21. (d) 22. (a)
- (d) 24. (a) 25. (d) 26. (d)
SECTION C
- (a) 28. (a) 29. (d) 30. (a) 31. (d) 32. (a) 33. (d)
