CBSE Class 10 Sample Paper 2026 Solution for Artificial Intelligence

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CBSE | DEPARTMENT OF SKILL EDUCATION
ARTIFICIAL INTELLIGENCE (SUBJECT CODE - 417)
MARKING SCHEME FOR CLASS X (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. There is no negative marking.
iii. Do as per the instructions given.
iv. Marks allotted are mentioned against each question/part.
7. SECTION B – SUBJECTIVE TYPE QUESTIONS (26 MARKS):
i. This section contains 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
Source Material
Page no.
Q. (NCERT/PSSCIVE/ Unit/
QUESTION of source Marks
No. CBSE Study Chap. No.
Material)
Q. 1 Answer any 4 out of the given 6 questions on Employability Skills (1 x 4 = 4 marks)
i. c) Gesture NCERT 1 11 1
ii. b) Responsibility NCERT 2 40 1
iii. a) Making decisions purely based on
NCERT 2 44 1
emotions
iv. d) Hover NCERT 3 67 1
v. c) Grow NCERT 4 100 1
vi. a) SDG 12 – Responsible Consumption and
NCERT 5 112 1
Production
Q. 2 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)
i. CBSE Study
Three 1 9 1
ii. a) Both A and R are correct, and R is the CBSE Study
1 16 1
correct explanation of A material
iii. b) The rule-based approach is static and CBSE Study
2 30 1
cannot adapt to new words or expressions. material

Page 1 of 6

iv. CBSE Study
Evaluation 3 62 1
CBSE Study
v. c) Image Processing; Computer Vision 5 123 1
CBSE Study
vi. True 6 154 1
Q. 3 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)
CBSE Study
i. d) Computer Vision 1 10 1
CBSE Study
ii. d) Features 2 28 1
CBSE Study
iii. a) 0.80 3 77 1
iv. a)
a Both A and R are correct, and R is the CBSE Study
3 65 1
correct
a explanation of A. material
CBSE Study
v. d) Face Filters 5 124 1
CBSE Study
vi. 32 6 165 1
Q. 4 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)
CBSE Study
i. a) Step-by-step guidance 1 12 1
b) Both Statement 1 and Statement 2 are CBSE Study
ii. 2 28,29 1
incorrect. material
CBSE Study
iii. c) 1.7 2 51 1
d) It may lead to overfitting and give an CBSE Study
iv. 3 64 1
overly optimistic accuracy material
CBSE Study
v. b) Resolution 5 128 1
CBSE Study
vi. a) Autogenerated captions 6 155 1
Q. 5 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)
CBSE Study
i. a) Location of the recipient 1 14 1
CBSE Study
ii. b) 0.071 3 66 1
CBSE Study
iii. c) Object Detection 5 126 1
CBSE Study
iv. False Positive 3 73 1
CBSE Study
v. a) Script Bot 6 163 1
CBSE Study
vi. d) Stemmed: fli, Lemmatized: fly 6 167,168 1

Page 2 of 6

SECTION B: SUBJECTIVE TYPE QUESTIONS
Source
Material Unit Page
Q. (NCERT/ / no. of
QUESTION Marks
No. PSSCIVE/ Chap source
CBSE Study No. material
Material)
Answer any 3 out of the given 5 questions on Employability Skills in 20 – 30 words each (2 x 3 = 6 marks)
Words used in place of a noun are called pronouns.
Eg: Kavita bought a book. She has a great book collection.
Q. 6 NCERT 1 26 2
‘She’ is used in place of the noun ‘Kavita’.
(1 mark for explanation and 1 mark for example)
The four steps to build self-motivation are:
1. Find out your strengths
2. Set and focus on your goals
Q. 7 NCERT 2 52 2
3. Develop a plan to achieve your goals
4. Stay loyal to your goals
(½ mark for each point)
Personal information can be lost or leaked in two ways:
1. We are not careful in giving out personal information
over the Internet. For example, we share our account
details and password on unsecure sites.
Q. 8 NCERT 3 80 2
2. A person gets unauthorised access to our computer. This
can happen in the office if we leave our computer
without logging out.
(1 mark for each point)
● Making Decisions
Q. 9 ● Managing the Business NCERT 4 93 2
(1 mark for each point)
Organic farming is where farmers do not use chemical
pesticides and fertilisers to increase their production.
Benefits:
Q. 10 1. It helps in growing better quality, chemical-free NCERT 5 107 2
crops.
2. It maintains the soil quality for future use.
(1 mark for definition; ½ mark for each benefit)

Answer any 4 out of the given 6 questions in 20 – 30 words each (2 x 4 = 8 marks)
In the second stage, we need to acquire data, which
becomes the base of our project. This data helps us
understand the parameters related to problem scoping. We
collect it from various reliable and authentic sources.
In the third stage, we give the acquired data a visual CBSE Study
Q. 11 1 9 2
representation using graphs, databases, flowcharts, maps, material
etc. Since the data is often large in quantity, visualizing it
helps us interpret patterns more easily and draw
meaningful insights.
(1 mark for each explanation)

Page 3 of 6

a) Convolutional Neural Network (CNN)
b) Artificial Neural networks (ANN) CBSE Study
Q. 12 2 45 2
(1 mark for each)
1. For supervised learning and unsupervised learning, you
need to have a pretty good idea of the data that you have,
what’s going on, and how to solve the problem.
2. However, you will frequently encounter situations where
you have to deal with large complex problem spaces.
3. You may need to respond to unforeseen environments, CBSE Study
Q. 13 2 37 2
and you don’t have sufficient data on those specific material
scenarios.
4. The environment may change. Hence your system needs
to be adaptive.

(any 2 points; one mark for each point)
Model evaluation is the process of using different evaluation
metrics to understand a machine learning model’s
performance. It helps us understand the model’s strengths,
weaknesses, and suitability for the task at hand.
An AI model gets better with constructive feedback. We build
CBSE Study
Q. 14 a model, get feedback from metrics, make improvements, 3 62,63 2
and continue this process until we achieve a desirable
accuracy. This feedback loop is essential for building
trustworthy and reliable AI systems.

(1 mark for definition, 1 mark for explanation)
The most common pixel format is the byte image, where
each pixel value is stored as an 8-bit integer, giving a range
of possible values from 0 to 255. In this format, 0 is typically
taken as no colour or black, and 255 is taken as full colour or
white.
In computer systems, data is represented in the binary
CBSE Study
Q. 15 system, using ones and zeros. Each bit can have two possible 5 128 2
values, and since 1 byte = 8 bits, this results in 256 possible
values, ranging from 0 to 255. Therefore, each pixel in a byte
image uses 1 byte of data.

(1 mark for correctly stating the definition; 1 mark for
explaining how the binary system relates to this format)
The stage of NLP is Syntactic Analysis / Parsing.
It is the process of checking the grammar of sentences and
phrases. It forms a relationship among words and eliminates
CBSE Study
Q. 16 logically incorrect sentences. 6 159 2

(1 mark for identifying the stage; 1 mark for relevant
explanation)

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Answer any 3 out of the given 5 questions in 50– 80 words each (4 x 3 = 12 marks)
a) Two reasons why the algorithm gave biased results:
1. The algorithm unfairly penalized students who are not
fluent in English, assuming slower form completion
indicates lower competence, when it may simply
reflect language challenges.
2. Students without access to a computer or stable
internet at home took longer to complete the
application, but this delay is due to external socio-
economic factors, not lack of ability or confidence.
(1 mark for each valid reason)
b) Two bioethics principles that can solve this problem are:
1. Do Not Harm:
The algorithm unintentionally harms students from CBSE Study
Q. 17 1 18,19 4
less privileged backgrounds by reducing their chances material
of selection. To follow this principle, the AI system
should be redesigned to avoid causing unfair
disadvantages.
2. Give Justice:
Justice requires that all students are treated fairly
and equitably. The system should not discriminate
based on factors like language fluency or digital
access. Incorporating diverse data and adjusting
evaluation criteria would help ensure equal
opportunity for all applicants.
(½ mark for each correct bioethics principle and ½ mark for
the each relevant explanation)
a) The learning model is called Unsupervised Learning. (1
mark)
b) The two categories of this learning model are Clustering
and Association. (½ mark each)
c) Clustering: This involves finding similarities between
objects and placing them in the same cluster and
differentiating them from objects in other clusters. CBSE Study 41,42,
Q. 18 2 4
Example: Grouping customers based on purchasing material 43
behaviour. (1 mark – ½ for explanation, ½ for example)
Association: This involves finding relationships or
correlations between variables in large datasets.
Example: Market basket analysis (e.g., customers who
buy bread often buy butter). (1 mark – ½ for explanation,
½ for example)
a) Anomaly Detection
b) Object Classification
CBSE Study
Q. 19 c) Object Identification 2 26,27 4
d) Digit Recognition
(1 mark each)

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a)
Confusion Prediction
Matrix

Yes No

Reality Yes 40 (TP) 10 (FN)
No 20 (FP) 30 (TN)
(½ mark each for correctly identifying and writing values of
TP, FP, TN,FN)

b) Classification Accuracy CBSE Study
Q. 20 𝐶𝑜𝑟𝑟𝑒𝑐𝑡 𝑃𝑟𝑒𝑑𝑖𝑐𝑡𝑖𝑜𝑛𝑠 3 75,76 4
Accuracy = material
𝑇𝑜𝑡𝑎𝑙 𝑃𝑟𝑒𝑑𝑖𝑐𝑡𝑖𝑜𝑛𝑠
𝑇𝑃 + 𝑇𝑁
=
𝑇𝑃 + 𝐹𝑃 + 𝑇𝑁 + 𝐹𝑁
40 + 30
=
40 + 20 + 30 + 10
70
= = 0.7
100
Accuracy% = 70%
(½ mark for formula; ½ mark for the answer)

c)
Wrong Predictions = FP+FN =20+10 =30
(½ mark for formula; ½ mark for the answer)
a) Dictionary of unique words will be
students, love, studying, ai, is, transforming, education,
teachers, and, explore, tools
(1 mark for correctly listing all unique words for the
vocabulary)
b) Document vector for Document 3

(1 mark for accurately constructing the document vector for
Document 3 using the given vocabulary)

c) Bag of Words (BoW) helps in feature extraction by
converting text documents into fixed-length numerical CBSE Study 169,
Q. 21 vectors based on the frequency or presence of words from a 6 4
material 170,171
defined vocabulary. This allows machine learning models to
process and analyze text data just like numeric input,
enabling tasks such as text classification, sentiment analysis,
and topic modeling.
(1 mark for clearly explaining how Bag of Words helps in
feature extraction by counting word occurrences)

d) In Bag of Words, the focus is on what words appear, not
how or where they appear in the sentence. The model treats
text as a "bag" of words, ignoring grammar, syntax, and
word order.
(1 mark for correctly stating that word order is not important
in BoW as it only considers frequency or presence of words)

Page 6 of 6

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

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