CBSE Sample Papers for Class 12 AI Set 1 with Solutions

Students must start practicing the questions from Class 12 AI Important Questions and CBSE Sample Papers for Class 12 AI Set 1 are designed as per the revised syllabus.

CBSE Sample Papers for Class 12 AI Set 1 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. An indirect object answers the questions, such as
a. What?
b. Why?
c. To whom?
d. Which?
Answer:
a. What?

ii. “I enjoy singing and practice it as it gives me a lot of pleasure. It also works as a stress buster.” The sentence given above is an example of
a. Intrinsic motivation
b. Extrinsic motivation
c. External motivation
d. Lack of motivation
Answer:
a. Intrinsic motivation

iii. Statement 1: Personality traits are defined as relatively lasting patterns of thoughts, feelings and behaviors. Statement 2: They distinguish individuals from one another.
a. Both Statement 1 and Statement 2 are correct
b. Both Statement 1 and Statement 2 are incorrect
c. Statement 1 is correct but Statement 2 is incorrect
d. Statement 2 is correct but Statement 1 is incorrect
Answer:
a. Both Statement 1 and Statement 2 are correct

iv. Match the following:

a. A-2 ; B-3 ; C-1
b. A-3 ; B-1 ; C-2
c. A-1 ; B-3 ; C-2
d. A-1 ; B-2 ; C-3
Answer:
b.

v. After 20 years of being a successful entrepreneur in Lucknow, Ravi decided to move back to his village. He opened a clothing store but people in his village said that the style did not match what they wanted. They wanted more variety and brighter colours. So, he sold off the old clothes to his friend in a city and bought good quality clothes from a local seller.
Which attitude can you witness in Ravi?
a. Interpersonal skills
b. Perseverancequad
c. Competitiveness
Barrier
Answer:
b. Perseverancequad

vi. Electronic waste, as known as e-waste, is generated when any electronic or electrical equipment becomes unfit for the intended use or if it has crossed its expiry date. Due to rapid technological advancements and the production of newer electronic equipment, the old ones get easily replaced with new models. It has particularly led to an exponential increase in e-waste in India.
Which of the following is the correct way to handle e-waste?
a. Sell the e-waste to a local scrap dealer
b. Throw the e-waste in the dustbin
c. Dispose-off the e-waste with the help of a certified partner
d. Dump the e-waste in the local landfill
Answer:
c. Dispose-off the e-waste with the help of a certified partner

Question 2.
Answer any 5 out of the given 6 questions (1 × 5 = 5 marks)

i. 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
Answer:
b) Test

ii. _______ is the first step involved in telling an effective data story.
(a) Creating visuals
(b) Adding narrative
(c) Understanding the Audience
(d) Gathering data
Answer:
(c) Understanding the Audience

iii. Match the following

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

iv. Identify two AI development tools from the following:
1) DataRobot
2) Python
3) Scikit Learn
4) Watson Studio
(a) 1 & 2
(b) 2 & 3
(c) 1 & 3
(d) 1 & 4
Answer:
(d) 1 & 4

v. You want to predict future house prices. The price is a continuous value, and therefore we want to do regression. Which loss function should be used here?
(a) RMSE
(b) MSE
(c) Exponential error
(d) MAE
Answer:
(b) MSE

vi. The design phase of the AI Model Life Cycle is an _______ process.
(a) compact
(b) permanent
(c) periodic
(d) iterative
Answer:
(d) iterative

Question 3.
Answer any 5 out of the given 6 questions (1 × 5 = 5 marks)

i. Techniques like descriptive statistics and visualisations can be applied to datasets after the original data gathering to analyse the content. To close the gap, additional data collecting may be required. Identify the stage of this analytic approach.
(a) Data Requirements
(b) Data Gathering
(c) Data Understanding
(d) Data Preparation
Answer:
(c) Data Understanding

ii. Stories create _____ experiences that transport the audience to another space and time.
(a) unpleasant
(b) tedious
(c) repetitive
(d) engaging
Answer:
(d) engaging

iii. In this phase, we define the project’s strategic business objectives and desired outcomes, align all stakeholders’ expectations as well as establish success metrics. Identify this phase of the AI Model Life Cycle.
(a) Design
(b) Scoping
(c) Evaluation
(d) Data
Collection
Answer:
(b) Scoping

iv. Assertion (A): Stories that combine statistics and analytics are more persuasive.
Reason (R): When we talk about data storytelling, we’re talking about stories in which data plays a central role.
Select the appropriate option for the statements given above:
(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:
(b) Both A and R are true and R is not the correct explanation of A

v. Which of the following is not a feature of RMSE?
(a) It tells about the accuracy of the model.
(b) Higher value means hyper parameters need to be tweaked
(c) Lower RMSE values are not good for the AI model.
(d) RMSE is a measure of how evenly distributed residual errors are.
Answer:
(c) Lower RMSE values are not good for the AI model.

vi. Once you have got an AI model that’s ready for production, AI engineers then _____ a trained model, making it available for external inference requests.
(a) Evaluate
(b) Test
(c) Deploy
(d) Redesign
Answer:
(c) Deploy

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

i. Data Validation for human biases is conducted in _________ phase of AI Model Life Cycle.
(a) Scoping
(b) Data Collection
(c) Design
(d) Testing
Answer:
(d) Testing

ii. Identify the following icons:
(a)

(b)

Answer:
(a) Narrative
(b) Data

iii. Which of the following is a disadvantage of Cross Validation Technique?
(a) Cross-validation provides insight into how the model will generalize to a new dataset.
(b) Cross-validation aids in determining a more accurate model prediction performance estimate.
(c) As twe need to train on many training sets, cross-validation is computationally expensive.
(d) Cross-validation could result in more precise models.
Answer:
(c) As twe need to train on many training sets, cross-validation is computationally expensive.

iv. Hyper parameters are parameters whose values govern the learning process.
(a) True
(b) False
Answer:
(a) True

v. The steps that assist in finding compelling stories in the data sets are as follows. Arrange them in proper order:
1) Visualize the data.
2) Examine data relationships.
3) Get the data and organise it.
4) Create a simple narrative embedded with conflict.
(a) 1-2-3-4
(b) 2-3-1-4
(c) 4-1-3-2
(d) 3-1-2-4
Answer:
(d) 3-1-2-4

vi. Choose the difference between Regression and Classification Loss functions from the following:
(a) Regression functions predict a quantity, and classification functions predict a label.
(b) Regression functions predict a label, and classification functions predict a quantity.
(c) Regression functions predict a qualitative value, and classification functions predict a label.
(d) Regression functions predict a label, and classification functions predict a qualitative value.
Answer:
(a) Regression functions predict a quantity, and classification functions predict a label.

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

i. 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.
(a) visuals
(b) points
(c) images
(d) facts
Answer:
(d) facts

ii. A good model should have an _____ value less than 180.
(a) RMSE
(b) MSE
(c) Focal Loss
(d) MAE
Answer:
(a) RMSE

iii. Which of the following is incorrect?
1) Testing data is the one on which we train and fit our model basically to fit the parameters
2) Training data is used only to assess performance of model
3) Testing data is the unseen data for which predictions have to be made
a) 1) and 3) only
b) 1) and 2) only
c) 2) and 3) only
d) 1), 2) and 3)
Answer:
b) 1) and 2) only

iv. Choose an example of an AI predictive model.
(a) YouTube
(b) Spam detection
(c) weather forecast
(d) Sentiment Analysis
Answer:
(c) weather forecast

v. Which of the following are the objectives of the testing team in AI modelling?
1) Model Validation
2) Security compliance
3) Understanding data
4) Minimizing bias
a. (1), (2) and (3)
b. (2), (3) and (4)
c. (1), (3) and (4)
d. (1), (2) and (4)
Answer:
d. (1), (2) and (4)

vi. If AI techniques are to be applied to a dataset, the data must have a
a. association
b. relationship
c. pattern
d. Either a and b
Answer:
c. pattern

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.
What does ‘P’ stand for in the acronym ‘RESPECT’ used to ensure active
listening? Explain.
Answer:
P in Respect stands for – Pay attention and focus on what the speaker is saying.
(1 mark for the word ‘Pay’; and 1 mark for explanation)

Question 7.
Shikha is an elderly woman. She stays with her family. She has a habit of washing her hands at least 20 × a day. Even after washing her hands, she feels they are not clean, and continues rubbing or washing them. She neither talks to her grandchildren, nor does she participate in any family activity. Suggest her one way in which she can overcome her personality disorder.
Answer:
Steps to overcome personality disorders

• Talk to someone. Most often, it helps to share your feelings.
• Look after your physical health. A healthy body can help you maintain a healthy mind.
• Build confidence in your ability to handle difficult situations.
• Engage in hobbies, such as music, dance and painting. These have a therapeutic effect.
• Stay positive by choosing words like ‘challenges’ instead of ‘problems’.
  (Any 2 of the above -1 mark each)

Question 8.
Differentiate between the terms worksheet and workbook.
Answer:
A worksheet is a collection of cells in the form of a grid (a network of lines that intersect each other, making rectangles). When you open a spreadsheet for the first time, you see a blank worksheet with the name ‘Sheet1’. A workbook is a spreadsheet that has one or more worksheets. (1 mark each)

Question 9.
Name two government schemes that help small-scale entrepreneurs gain capital.
Answer:

• Government Mudra Yojana
• Credit Guarantee Scheme
• Stand-Up India Scheme (Any 2;1 mark each)

Question 10.
The greening of economy presents a major opportunity to start new businesses, develop new markets and lower energy costs. Write any two benefits of green jobs.
Answer:

increase the efficiency of energy and raw material.
reduce greenhouse gas emissions.
control waste and pollution.
protect and restore ecosystems.
support adaptation to the effects of climate change.
(Any 2;1 mark each)

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

Question 11.
Define capstone project.
Answer:
A capstone project is a project where students must research a topic independently to find a deep understanding of the subject matter. It gives an opportunity for the student to integrate all their knowledge and demonstrate it through a comprehensive project.

Question 12.
Can MSE be a negative value? Give reasons.
Answer:
The MSE value cannot be negative. The difference between projected and actual values are always squared. As a result, all outcomes are either positive or negative.

Question 13.
What is the importance of a narrative in a story?
Answer:
Stories are more likely to drive action than are statistics and numbers. Therefore, when told in the form of a narrative, it reduces ambiguity, connects data with context, and describes a specific interpretation communicating the important messages in most effective ways.

Question 14.
Imagine that you want to create your first app. Create a list of questions you would develop to decompose this task.
Answer:
To decompose this task, you would need to know the answer to a series of smaller problems:
what kind of app you want to create?
what will your app will look like?
who is the target audience for your app?
what will the graphics will look like?
what audio will you include?

Question 15.
Differentiate between training set and test set.
Answer:
A training set is a set of historical data in which the outcomes are already known. Train Dataset: Used to fit the machine learning model. Test Dataset: Used to evaluate the fit machine learning model.

Question 16.
“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
Answer:
The Design phase is essentially an 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 behaviors or discover insights in the data.

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

Question 17.
Explain how data storytelling can bring about change using a diagram.
Answer:
Data storytelling is a structured approach for communicating insights drawn from data, and invariably involves a combination of three key elements: data, visuals, and narrative. When the narrative is accompanied with data, it helps to explain the audience what’s happening in the data and why a particular insight has been generated.

When visuals are applied to data, they can enlighten the audience to the insights that they wouldn’t perceive without the charts or graphs. Finally, when narrative and visuals are merged together, they can engage or even entertain an audience. When you combine the right visuals and narrative with the right data, you have a data story that can influence and drive change.

Question 18.
Consider the following data

Regression Equation: 0.7x + 17.8 Calculate the RMSE (Root means Square Error) for the above data.
Answer:

Question 19.
List the considerations which data scientists have to keep in mind during the testing
stage.
Answer:
Considerations:
The volume of test data can be large, which presents complexities.
Human biases in selecting test data can adversely impact the testing phase, therefore, data validation is important.
Your testing team should test the AI and ML algorithms keeping model validation, successful learnability, and algorithm effectiveness in mind. Regulatory compliance testing and security testing are important since the system might dealwith sensitive data, moreover, the large volume of data makes performance testing crucial.

Question 20.
Explain the Cross Validation Procedure? In which situation is it better than a Train
Test Split?
Answer:
In cross-validation, we run our modeling process on different subsets of the data to get multiple measures of model quality. In k-fold cross-validation, the original dataset is equally divided into k subparts or folds. Out of the k-folds, for each iteration, one group is selected as test data, and the remaining (k-1) groups are selected as training data. This process is repeated for k times. The final accuracy of the model is calculated by taking the mean accuracy. When the dataset is smaller, cross-validation procedure should be selected for higher accuracy.

Question 21.
(a) List the steps of creating an effective data story.
(b) Which of the following is a better data story? Give reasons.
Option A:

(Source: https://www.crazvegg.com/blog/data-storytelling-5-steps-charts/)
Option B:

Answer:
(a) The steps involved in telling an effective datastory are given below:

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

(b) Option A is a better data story. Reasons
1. The insight given at the bottom of the visual is giving a clear idea about context which is not therein

Option B.
Option A visual provides a compelling narrative.

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