CBSE Sample Papers for Class 12 AI Set 3 with Solutions

Students must start practicing the questions from Class 12 AI Important Questions and CBSE Sample Papers for Class 12 AI Set 3 are designed as per the revised syllabus.

CBSE Sample Papers for Class 12 AI Set 3 with Solutions

Max. Time: 2 Hours
Max.Marks:50

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. SECTIONA-OBJECTIVE TYPE QUESTIONS (24MARKS):
i. This section has o5 questions.
ii. Mavks allotted are mentioned against each question/part.
iii. There is no negative marking.
iv. Do as per the instructions given.
7. SECTIONB -SUBJECTIVE TYPE QUESTIONS (26 MARKS):
i. This section has 16 questions.
ii. A candidate has to do 10 questions.
iii. Do as per the instructions given.
iv. Marks allotted are mentioned against each question/part.

SECTION-A

Objective type Questions:

Question 1.
Answer any 4 out of the given 6 questions on Employability Skills (1 × 4=4 marks)

i. Self – motivation boosts individuals’ _______ and _______. [1]
a) efficiency and productivity
b) hard work and team management
c) money and workload
d)mental pressure and efficiency
Answer:
a) efficiency and productivity

ii. Entrepreneurs who have no prior experience of business is known as _______. [1]
a) first generation entrepreneurs
b) entrepreneurs in business
c) innovators
d) startup entrepreneurs
Answer:
a) first generation entrepreneurs

iii. Which software helps in performing calculations using formula and analysing the data? [1]
a) Microsoft outlook
b) Microsoft power point
c) Open office calc
d) Libre office
Answer:
c) Open office calc

iv. Which of the following is not a quality of an entrepreneur? [1]
a) Willingness to take risks
b) Self-confidence
c) Ability to make decisions
d) Working for others
Answer:
d) Working for others

v. What is the value of the following formula: [1]
= SUM (12,20,33,48)
A -100
B-114
C-112
D-113
Answer:
D-113

vi. An entrepreneur’s primary responsibility is to secure the timely availability of all the______. [1]
A-Supplies
B-Resources
C-Money
D-Infrastructure
Answer:
B-Resources

Question 2.
Answer any 5 out of the given6 questions (1 × 5 = 5 marks)

i. Every AI project must undergo ______ steps. [1]
a. 3
b. 4
c. 5
d. 6
Answer:
d. 6

ii. Stories change the way that we interact with data, transforming it from a dry collection of _______ to something that can be entertaining, thought provoking, and inspiring change. [1]
(a) visuals
(b) points
(c) images
(d) facts
Answer:
(d) facts

iii. Match the following [1]

a) 1=D, 2=B, 3=E, 4=A, 5=C
b) 1=C, 2=E, 3=D, 4=A, 5=B
c) 1=D, 2=B, 3=C, 4=E, 5=A
d) 1=E, 2=A, 3=D, 4=C, 5=B
Answer:
b)

iv. Which of the following is not a regression loss function [1]
a. Exponential loss
b. Mean absolute error
c. Mean square error
d. Quantile loss
Answer:
a. Exponential loss

v. In AI development which framework is used? [1]
a. Scikit-learn
b. TensorFlow
c. PyCharm
d. Matplotlib
Answer:
b. TensorFlow

vi. Which process does NOT come under Capstone Project? [1]
a. AI Model
b. AI Project Cycle
c. Deployment
d. Data Gathering
Answer:
b. AI Project Cycle

Question 3.
Answer any 5outofthegiven6 questions (1 × 5 = 5 marks)

i. The robotic arm will be able to paint every corner in the automotive parts while minimizing the quantity of paint wasted in the process. Which learning technique is used in this problem? [1]
a. Supervised Learning.
b. Unsupervised Learning.
c. Reinforcement Learning.
d. Both (a) and (b)
Answer:
c. Reinforcement Learning.

ii. It can be said as a means of delivering a narrative or the art of weaving a coherent pleasant scenario around the numbers that conveys the logic. It is the final part of _______. [1]
a) data analysis.
b) data collection
c) data understanding
d) data modelling
Answer:
a) data analysis.

iii. In this phase, we define the project’s strategic business objectives and desired out comes, align all stake holders’ expectations as well as establish success metrics. Identify this phase of the AI Model LifeCycle. [1]
(a) Design
(b) Scoping
(c) Evaluation
(d) Data Collection
Answer:
(b) Scoping

iv. Assertion (A): If the collected data is not relevant, the effective AI algorithm built will collapse. (R): The whole AI model is based on data. Select the appropriate option for the statements given above: [1]
a. Both A and R are true and R is the correct explanation of A
b. Both A and R are true and R is not the correct explanation of A
c. A is true but R is false
d. A is False but R is true
Answer:
a. Both A and R are true and R is the correct explanation of A

v. Which of the following statement is not correct? [1]
(a) Python and R languages are open- source language.
(b) Azure ML Studio help in the development process.
(c) Scikit learn is the most popular framework.
(d) Reinforcement learning helps in increasing the productivity
Answer:
(d) Reinforcement learning helps in increasing the productivity

vi. Primary key to collect DATA (Data gathering process). [1]
(a) Experiment
(b) Survey
(c) Interview
(d) Observation
Answer:
(b) Survey

Question 4.
Answer any 5 out of the given 6 questions (1 × 5 = 5 marks)

i. Which of the following is FALSE about Correlation and Covariance?
a. A zero correlation does not necessarily imply independence between variables.
b. Correlation and covariance values are the same.
c. The covariance and correlation are always the same sign.
d. Correlation is the standardized version of Covariance.
Answer:
b. Correlation and covariance values are the same.

ii. Identify the following the following figures: [1]
(a)

(b)

Answer:

iii. Which of the following is not a AI development platform? [1]
(a) Microsoft Azure
(b) Google Cloud
(c) BigML
(d) R
Answer:
(d) R

iv. Deployment is the final stage of AI model life cycle. [1]
(a) True
(b) False
Answer:
(a) True

v. The steps that are involved in telling an effective story. Arrange the min proper order: 1) Highlight the important data and organize it.
2) Know about the audience.
3) Find out the appropriate data and visualization.
4) Create a simple narrative keeping your audience in mind
(a) 1-2-3-4
(b) 2-3-1-4
(c) 4-1-3-2
(d) 3-1-2-4
Answer:
(b) 2-3-1-4

vi. Choose the difference between cross-validation procedure and train-test split evaluation from following: [1]
(a) Cross-validation technique for evaluating small sample of data, and train test split for large dataset.
(b) Cross-validation evaluation divides the dataset into 2 groups, train test split organizes the data into K groups.
(c) Cross-validation evaluation gives model quick overview, train test split summaries the model’s ability.
(d) Cross-validation evaluation evaluate the model on new data that was not used to train the model, train test split evaluates the model against the training set.
Answer:
(a) Cross-validation technique for evaluating small sample of data, and train test split for large dataset.

Question 5.
Answer any 5 out of the given 6 questions (1 × 5 = 5 marks)

i. Which of the following is not an example of hyperparameter? [1]
a) The method of train-test split evaluation
b) The number of iterations required to train a neural network
c) The loss function that the model will employ
d) Number of hidden layers in a neural network
Answer:
a) The method of train-test split evaluation

ii Every AI project must undergo _______ steps? [1]
a. 3
b. 4
c. 5
d. 6
Answer:
d. 6

iii Which of the following statement is False in the case of the KNN Algorithm? [1]
i. For a very large value of K, points from other classes may be included in the neighborhood.
ii. For the very small value of K, the algorithm is very sensitive to noise.
iii. KNN is used only for classification problem statements.
iv. KNN is a lazy learner.
a. i and ii
b. ii and iii
c. iii
d. iv and i
Answer:
c. iii

iv. 10_______ is not an example of data story telling? [1]
a-Amazon story boxes
b-Refinery 21
c-National geographic channel
d-Google
Answer:
d-Google

v. Which of the following statement is correct about cross validation procesudure? [1]
i-It randomly shuffle the data set
ii-It organizes the data into K group
iii-It summarize the model ability
iv-For each distinct group it does not fit a model and test it against the test set.
a-I, ii and iii
b- ii, iii and iv
c-I, iii and iv
d-I, ii and iv
Answer:
d-I, ii and iv

vi Which of the following role a Business sponsors who need a analytical solution does not perform? [1]
a-They define the problem and its objectives
b-They are involved throughout the project c-They review interim conclusions
d-They are not keen to produce intended solutions
Answer:
d-They are not keen to produce intended solutions

SECTION-B

Subjective type Questions:

Answer any 3 out of the given 5 questions on Employability Skills ( 2 × 3=6 marks) Answer each question in 20-30 words.

Question 6.
Name any two source of motivation [2]
Answer:
Motivation comes from two places:

• Intrinsic motivation: This is when motivation comes from “internal” factors to meet personal needs. We do things we do because we enjoy them, not because we have to….
• Extrinsic motivation: This is when motivation comes from “external” factors that are given or controlled by others.

Question 7.
Briefly explain the five factor model. [2]
Answer:
Abstract. The five-factor model of personality is a hierarchical organization of personality traits in terms of five basic dimensions:
Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness to Experience.

Question 8.
Define difference between Worksheet and Workbook? [2]
Answer:
A worksheet is the working area or page on the screen. A worksheet consists of rows and columns. A collection of worksheets is known as a workbook.

Question 9.
Write down the steps to insert picture from file. [2]
Answer:
The steps to insert a picture from a file are:

1. Select Insert-From File. Picture
2. The Insert picture dialog box appears.
3. Select the picture you want to insert and click Open.

Question 10.
What do you understand by “entrepreneurship” [2]
Answer:
An entrepreneurship, there are many views but precisely it can be ” the ability and readiness to develop, organize and run a business enterprise and with a strong will to face uncertainties in order to make a profit.

Answer any 4 out of the given 6 questions in 20-30 words each (2 × 4 = 8 marks)

Question 11.
Write the names of sum regression loss function. [2]
Answer:

• Mean Square Error/Quadratic Loss
• Mean Absolute Error
• Huber Loss/ Smooth Mean Absolute Error
• Log Cash Loss
• Quantile Loss

Question 12.
Write the names of sum classification function. [2]
Answer:

• Log Loss
• Focal Loss
• KL divergence/Relative Entropy
• Exponential Loss
• Hinge Loss

Question 13.
What are the considerations to be taken during the evaluation stage? [2]
Answer:
These are the few points to be taken into considerations:

• The volume of test data should not be huge as it may provide data complexity.
• Some times the system may deal with sensitive data so regulatory compliance and security testing are essential.
• It is also necessary for system integration testing, if the model the require data from other systems.
• The testing data must be developed by the team who are involved in the validation of the M L models.

Question 14.
“Once the relevant projects have been selected and properly scoped, the next step of the machine learning lifecycle is the Design or Build phase.” Briefly explain this phase. [2]
Answer:
Data gathering, investigation, preparation, cleaning, feature engineering, testing, and running a number of models in an attempt to anticipate behaviors or find insights in the data make up the majority of the steps involved in constructing an AI or machine learning model.

Question 15.
What are the steps involved in telling an effective data story? [2]
Answer:

• Understanding the audience
• Choosing the right data and visualizations
• Drawing attention to key information
• Developing a narrative
• Engaging your audience

Question 16.
What are the two possible graphs that can be used to represent this data? [2]

Answer:
Bar Graph, Line Graph

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

Question 17.
What do you understand by the term over fitting, under fitting and model fit in terms of model testing. [4]
Answer:
In terms of modeling over fitting correspondence to the predictions that the model predicts on testing data and it is due to the inaccurate prediction of the model. Either due to the to much detailing or due to the noise.

The reason is the model is too complex.
Under fitting : A machine algorithm is said to be under fitting when it performs well on the training data but no on the testing data. This is due to the fewer data to build the model or due to non-linear data. That is the reason the model makes wrong predictions. Another reason is model is to simple and size of training data set not enough.

Model fit: When a model is best fitted it produces more accurate outcomes and it is essential because if the model does not fit your data correctly the outcomes will not be accurate enough to be useful for practical decision making.

Question 18.
Find the MSE of the following data, if the regression equation is: 0.8 ×+18.9: [4]

Calculate the RMSE(Root means Square Error) for the above data.
Answer:
Considering the above data, first calculate its predicted value, predictedobserve value.

Regression Equation: 0.8 x+18.9
Here, the formula of RMSE is

Putting the values on the above formula, we get RMSE
= \(\sqrt{\frac{248.05}{5}}\) =7.043
Thus answer is 7.043

Question 19.
Given below four graphs pick analytical approach based on the type of questions asked [4]

A-Which of the graph is used for statistical analysis?
B-Which of the graph is showing current status?
C-Which of the graph is used for predictive forecasting?
D-Which of the graph is used for probability of the action?
Answer:
A-The second graph shows statistical analysis that is what happened, why is this
happening?
B-The first graph shows the current status or descriptive status of a question.
C-The third graph shows predictive forecasting that is what will happen next or what if
the trend will continue type of questions.
D-The four graph is used to determine the probability of action for this the predictive
model might be used.

Question 20.
Ohat are the Shortcoming of Train-Test Split [4]
Answer:
Consider a dataset that contains 50oo rows. You can choose how many rows go to the training set and how many go to the test set using the test size argument in the train test split method. The larger the test set, the more trustworthy your model quality metrics will be. In extreme cases, you could Imagine that the test set contains just one row of data. Which alternative model Imerforms the best forecasts for a single data point when you evaluate different models will mostly depend on luck.

Normally, you’ll preserve 20 % of the dataset for testing. However, even with 1000 rows in the test set, the model scores are subject to some random chance. A model could do well on.

Question 21.
a-Supposing you are asked to develop a smart student management system for your school. List down the steps that you will follow for developing the system. [4]
Answer:
Follow the given steps to develop a smart student management system.

• First set goals
• Identify the Stakeholders
• Identify the existing measures
• Identify the ethical concerns
• Identify the data needs
• Visualise the mock data

1. b- Teacher asked Vipin and Mohan to graphically present all students marks in two subjects: Artificial Intelligence and
Mathematics. Their graphs are shown below:

Students average scoring in Artificial Intelligence is 81.8 . So, they are more inclined to Artificial Intelligence as a subject.

What do you think whose data story telling is more appealing?
Answer:
Mohan’s graph depicts a better story. The insight given at the top of the visual is giving a clear idea about context which is not there in Vipin’s graph.

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