CBSE Class 12 Sample Paper 2026 for Artificial Intelligence

CBSE BOARD

SAMPLE
PAPER
2026

DOWNLOAD

CBSE | DEPARTMENT OF SKILL EDUCATION
ARTIFICIAL INTELLIGENCE (SUBJECT CODE - 843)
Blue-print for Sample Question Paper for Class XII (Session 2025-2026)
Max. Time: 2 Hours Max. Marks: 50
PART A - EMPLOYABILITY SKILLS (10 MARKS):
OBJECTIVE TYPE SHORT ANSWER
UNIT QUESTIONS TYPE QUESTIONS TOTAL
NAME OF THE UNIT
NO. QUESTIONS
1 MARK EACH 2 MARKS EACH

1 Communication Skills – IV 1 1 2

2 Self-Management Skills – IV 2 1 3

3 ICT Skills – IV 1 1 2

4 Entrepreneurial Skills – IV 1 1 2

5 Green Skills – IV 1 1 2

TOTAL QUESTIONS 6 5 11

NO. OF QUESTIONS TO BE ANSWERED Any 4 Any 3 Any 7

TOTAL MARKS 1x4=4 2x3=6 10 MARKS

PART B - SUBJECT SPECIFIC SKILLS (40 MARKS):
DESCRIPTIVE/
OBJECTIVE SHORT
LONG ANS.
UNIT TYPE ANSWER TYPE TOTAL
NAME OF THE UNIT TYPE
NO. QUESTIONS QUESTIONS QUESTIONS
QUESTIONS
1 MARK EACH 2 MARKS EACH 4 MARKS EACH
Data Science Methodology:
2 An Analytic Approach to 5 1 1 7
Capstone Project
3 Making Machines See 5 1 *** 6
Introduction to Big Data and
5 3 1 1 5
Data Analytics
Understanding Neural
6 5 1 1 7
Networks
7 Generative AI 3 1 1 5
8 Data Storytelling 3 1 1 5

TOTAL QUESTIONS 24 6 5 35
NO. OF QUESTIONS
Any 20 Any 4 Any 3 Any 27
TO BE ANSWERED
TOTAL MARKS 1 x 20 = 20 2x4=8 4 x 3 = 12 40 MARKS

Page 1 of 9

CBSE | DEPARTMENT OF SKILL EDUCATION
ARTIFICIAL INTELLIGENCE (SUBJECT CODE - 843)

Sample Question Paper for Class XII (Session 2025-2026)
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. SECTION A - OBJECTIVE TYPE QUESTIONS (24 MARKS):
i. This section has 05 questions.
ii. Marks allotted are mentioned against each question/part.
iii. There is no negative marking.
iv. Do as per the instructions given.
7. SECTION B – 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.

Page 2 of 9

SECTION A: OBJECTIVE TYPE QUESTIONS

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

i. During a group discussion, Priya is explaining her point of view on a project idea. 1
Midway through her explanation, Arun interrupts and starts sharing his own
thoughts without letting Priya complete her sentence.
If you were in Arun’s place and wanted to follow the T of RESPECT in active listening,
what should you do?
a) Interrupt politely if you feel your point is important.
b) Start speaking as soon as you think you understand her point.
c) Speak at the same time so both ideas are heard together.
d) Wait until Priya finishes speaking, then respond to her points.

ii. ________is a trait, wherein, individuals show tendency towards anxiety, self-doubt, 1
depression, shyness and other similar negative feelings. (Fill in the blank)

iii. Match the following skills with their correct descriptions: 1
Skills Description
1. Positive thinking a. To be aware of your strengths and make
the best out of them.
2. Result orientation b. To think that one can get things done
and be happy.
3. Self-awareness c. To dream big and achieve the desired or
set goals.
a) 1 → b, 2 → c, 3 → a
b) 1 → a, 2 → b, 3 → c
c) 1 → b, 2 → a, 3 → c
d) 1 → c, 2 → a, 3 → b

iv. What happens when you change the layout of a slide? 1
a) The arrangement of content (text, images, shapes) changes
b) The format of the text changes
c) New slide is inserted
d) The title gets aligned to the center of the slide

v. Assertion (A): Economists, psychologists, sociologists, and management experts 1
define entrepreneurs differently.
Reason (R): The definition of an entrepreneur varies depending on whether the
focus is on resources, psychological drive, societal contribution, or
vision with action.
a) Both A and R are correct, and R is the correct explanation of A
b) Both A and R are correct, but R is not the correct explanation of A
c) A is correct, but R is incorrect
d) A is incorrect, but R is correct

vi. Appropriate technology is small-scale, environment-friendly technology suited to 1
local needs. It gets the job done using locally available resources in a sustainable
manner. (State whether this is True/False)

Page 3 of 9

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

i. Match the correct question from Column A to the correct step of the Data Science 1
Methodology in Column B.
Column A Column B
1. In what way can the data be visualized to get to a. Data Understanding
the required answer?
2. How can you use the data to answer the b. Business
question? understanding
3. What is the problem that you are trying to solve? c. Analytic approach
4. Is the data collected representative of the d. AI Modelling
problem to be solved?
a) 1 → a, 2 → b, 3 → c, 4 → d
b) 1 → d, 2 → c, 3 → b, 4 → a
c) 1 → b, 2 → a, 3 → d, 4 → c
d) 1 → c, 2 → b, 3 → a, 4 → d

ii. 1

The given diagram shows the working of a vision-based system that identifies
objects in an image. What is the other name for this technology?

iii. Which law suggests that increasing computing power over time makes it easier to 1
handle large volumes of data?
a) Boyle's Law
b) Murphy's Law
c) Newton's Law
d) Moore's Law

iv. An Artificial Neural Network (ANN) with two or more hidden layers is known as a 1
_______ (Fill in the blank)

v. 1

What will come in place of ‘1’ and ‘2’?

vi. In the context of data storytelling, a valuable and meaningful observation or 1
understanding derived from analysing data is called:
a) Prediction
b) Pattern
c) Insight
d) Correlation

Page 4 of 9

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

i. __________ is the process of selecting, modifying, or creating new features from 1
raw data to improve the performance of machine learning models. (Fill in the blank)

ii. 1

What will come in place of 1 and 2?
a) True Positive, False Positive
b) False Positive, True Negative
c) True Negative, False Negative
d) False Negative, False Positive

iii. Match the image processing technique in Column A with its correct description in 1
Column B
Column A Column B
1. Edge Detection a. Finds points where two or more edges meet
b. Identifies boundaries between regions with
2. Corner Detection
large intensity change
3. Texture Analysis c. Extracts features like smoothness or repetition
4. Colour-based d. Measures colour distribution to distinguish
Feature Extraction objects
a) 1 → a, 2 → b, 3 → c, 4 → d
b) 1 → a, 2 → c, 3 → b, 4 → d
c) 1 → b, 2 → a, 3 → c, 4 → d
d) 1 → c, 2 → b, 3 → a, 4 → d

iv. Big Data refers to extremely large and complex datasets that regular computer 1
programs and databases cannot handle. Which of the following is NOT one of its
main sources?
a) Printed Library catalogue data
b) Transactional data
c) Machine data
d) Social data

v. Identify the odd one out from the following activation functions: 1
a) Sigmoid Function
b) Tanh Function
c) ReLU (Rectified Linear Unit)
d) Linear Regression

Page 5 of 9

vi. Refer to the Venn diagram that illustrates the three key elements of Data 1
Storytelling: Narrative, Visuals, and Data. What term should replace the question
mark (?) in the center, where all three elements intersect?

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

i. Assertion(A): The diagnostic measures phase is used to ensure that the model is 1
working as intended and to refine it if necessary.
Reason (R): In this phase, predictive models can be evaluated using decision trees,
while descriptive models can be tested with known outcomes to check
alignment with the design.
a) Both A and R are correct, and R is the correct explanation of A.
b) Both A and R are correct, but R is not the correct explanation of A.
c) A is correct, but R is incorrect.
d) A is incorrect, but R is correct.

ii. 1

When a computer processes an image, it perceives it as a
collection of tiny squares known as ________.

iii. Which emerging technology in Big Data analytics promises unprecedented 1
processing power and can solve complex problems much faster than classical
computers?
a) Cloud Computing
b) Quantum Computing
c) Edge Computing
d) Parallel Processing
iv. In a neural network, which component defines how weights and biases are adjusted 1
during training?
a) Activation function
b) Learning rule
c) Loss function
d) Hidden layer

v. Name the two neural networks used in a Generative Adversarial Network (GAN). 1

Page 6 of 9

vi. Match the type of Generative AI application to the correct AI tool. 1
AI Tool Application Type
1. Stable Diffusion a. Audio Generation
2. ChatGPT b. Text Generation
3. Google’s Lumiere c. Video Generation
4. Meta’s AI Voicebox d. Image Generation
a) 1 → c, 2 → d, 3 → a, 4 → b
b) 1 → a, 2 → c, 3 → b, 4 → d
c) 1 → d, 2 → b, 3 → c, 4 → a
d) 1 → c, 2 → b, 3 → d, 4 → a

Q. 5 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)

i. Feedback is the last stage of data science methodology that helps to refine the 1
model and assess it for performance and impact. (State whether this is True/False)

ii. Assertion (A): Image normalization adjusts the pixel values of an image so they fall 1
within a consistent range, such as 0–1 or -1 to 1.
Reason (R): It ensures that all images in a dataset have a similar scale, which helps
the model learn better.
a) Both A and R are correct, and R is the correct explanation of A.
b) Both A and R are correct, but R is not the correct explanation of A.
c) A is correct, but R is incorrect.
d) A is incorrect, but R is correct.

iii. 1
The image shows bounding boxes and labels
for multiple objects like a bicycle, dog, and car.
Which computer vision task does this
represent?
a) Image Classification
b) Object Detection
c) Instance Segmentation
d) Semantic Segmentation

iv. Match the type of neural network in Column A with its corresponding task in 1
Column B.
Column A Column B
1. Perceptron a. Classification
2. Convolutional Neural Network (CNN) b. Object detection
3. Recurrent Neural Network (RNN) c. Machine translation
a) 1 → c, 2 → a , 3 → b
b) 1 → a, 2 → b, 3 → c
c) 1 → b, 2 → c, 3 → a
d) 1 → c, 2 → b, 3 → a

Page 7 of 9

v. _________ is the compressed representation of the actual data in Variational 1
Autoencoders. (Fill in the blank)

vi. A chart used in stock, forex, commodity, and option trading that shows price 1
movements (open, high, low, close) is a ____________________.
a) Line chart b) Bar chart
c) Facet grid chart d) Candle stick chart

SECTION B: SUBJECTIVE TYPE QUESTIONS
Answer any 3 out of the given 5 questions on Employability Skills (2 x 3 = 6 marks)
Answer each question in 20 – 30 words.
Wow! Oh no! Thanks! Help!
Q. 6 2
What are these words known as? Explain.

Q. 7 Write any two steps a person can take to overcome personality disorders. 2

In a spreadsheet, you can position the text in a cell to the left, right, or center.
Q. 8 a) Name this feature of a spreadsheet. 2
b) How are numbers and text positioned in a cell by default?

Identify the type of attitude the following entrepreneur is showing:
a) Ganesh was always interested in hairstyling. He knew the latest international
styles and would keep trying them on his friends. But his family wanted him to
work in a software company. Encouraged by friends, he spoke to his family, and
Q. 9 convinced them of his talent and business skills. With their support, he set up 2
his own salon.
b) Malvika has a book selling business. One day, a shipment of her books gets lost.
This creates a lot of problems for her customers. She apologises to them and
works hard for two days to get a new shipment by the next day.

What is meant by waste exchange? How does waste exchange help in reducing waste
Q. 10 2
disposal?

Answer any 4 out of the given 6 questions in 20 – 30 words each (2 x 4 = 8 marks)
Q. 11 Define Data Science Methodology. How many steps are there in it? 2

Computer vision, a vital part of artificial intelligence, faces several hurdles as it
Q. 12 strives to make sense of the visual world around us. Explain any two challenges 2
related to computer vision.

Q. 13 Differentiate between Batch Processing and Stream Processing. 2

Consider the following perceptron that predicts the academic performance of a
student with inputs, weights, and a bias of –2. Calculate Output/Predicted outcome
(ŷ) for the given scenario.
Q. 14 Factor Input Weight 2
Study Hours 1 6
Distractions (TV/Games) 0 3
Sleep Quality 1 2

Page 8 of 9

Q. 15 What distinguishes generative models from discriminative models? 2

Q. 16 List the steps involved in creating a compelling story through data. 2

Answer any 3 out of the given 5 questions in 50– 80 words each (4 x 3 = 12 marks)
Validating the machine learning model during the training and development stages is
crucial for ensuring accurate predictions. Differentiate between the Train–Test Split 4
Q. 17
and Cross-Validation methods, and support your answer with a neat, labelled
diagram.

A global e-commerce company handles millions of transactions every day. Identify
the characteristics of Big Data you can relate to in the following scenarios and
explain them in detail:
a) Customers place orders online, and the website records thousands of clicks,
searches, and transactions every second.
b) The company’s servers store petabytes of customer orders, payment details,
and product listings collected over years. 4
Q. 18
c) The stored data comes in different formats — structured (databases of
products), semi-structured (XML, JSON order files), and unstructured
(customer reviews, product photos, videos).
d) Sometimes, the system collects incomplete or duplicate records, and before
analysis, the team removes errors to ensure the information is accurate and
trustworthy.

Q. 19 Explain the role of neural networks in the future of AI. 4

Explain how Meta’s LLaMA is unique compared to traditional LLMs with a neat
Q. 20 4
diagram.

4
Q. 21

The image illustrates Freytag’s Pyramid, a classic narrative structure.
While (1) Exposition introduces the story and characters, identify and briefly explain
the stages labeled as 2, 3, 4, and 5 in the diagram.

Page 9 of 9

Study Materials
Notes

Model Papers Class 6 Notes

Sample Papers Class 7 Notes
Half Yearly Sample Papers Class 8 Notes

Class 9 Notes
Important Resources
Class 10 Notes
Periodic Table
Class 11 Notes
Writing Skills / Formats

Maps of India / World Class 12 Notes

Books and Solutions

NCERT Books
NCERT Book Solutions
HC Verma Chapter Wise Solutions
RD Sharma Solutions
CGBSE Solutions