CBSE Class 10 Artificial Intelligence (417) Board Exam 2025-26 was successfully conducted on 27 February 2026. To help students with quick and effective revision, we have provided the complete question paper along with detailed solutions and value points. This solved paper will help students understand the exam pattern, types of questions asked, marking scheme, and important topics covered in the board examination.
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CBSE CLASS 10 ARTIFICIAL INTELLIGENCE (417) - SOLUTION
Class 10 AI (Code 417) - Previous Year Question Paper
(Session 2025-26)
Exam Date: 27th Feb, 2026
Series 2KNLM
Question Paper Code 104 Set 4
Question Paper Code 104 Set 4
Time allowed : 2 hours
Maximum Marks : 50
Maximum Marks : 50
General Instructions:
- Please read the instructions carefully.
- This Question Paper consists of 21 questions in two sections: Section A & Section B.
- Section A has Objective type questions whereas Section B contains Subjective type questions.
- 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.
- All questions of a particular section must be attempted in the correct order.
- SECTION A – OBJECTIVE TYPE QUESTIONS (24 MARKS):
- This section has 05 questions.
- Marks allotted are mentioned against each question/part.
- There is no negative marking.
- Do as per the instructions given.
- SECTION B – SUBJECTIVE TYPE QUESTIONS (26 MARKS):
- This section has 16 questions.
- A candidate has to do 10 questions.
- Do as per the instructions given.
- Marks allotted are mentioned against each question/part.
SECTION A: OBJECTIVE TYPE QUESTIONS
Q.1 Answer any 4 out of the given 6 questions on Employability Skills (1X4=4 marks)
(i) Identify the imperative sentence:
a) Shut the front door.
b) She is a talented artist.
c) Are you feeling better?
d) You were amazing!
(ii) Breaking down big goals into smaller parts will make the goals _____.
a) specific
b) measurable
c) achievable
d) realistic
(iii) Define the term "Time Management'.
Ans: Time Management means planning and organizing your time properly so that you can complete your work on time without stress. It is the habit of dividing your time wisely to complete tasks according to their importance.
(iv) What should a strong password consist of?
a) Only letters
b) Numbers and special characters
c) Name of a person
d) Letters, numbers and special characters
(v) A misconception about an entrepreneur is:
Ans: Entrepreneurs are born, not made.
(vi) Choose the option which is not a Sustainable Development Goal according to the United Nations.
a) Population
b) No Poverty
c) Quality Education
d) Reduced Inequalities
Q.2 Answer any 5 out of the given 6 questions (1X5=5 marks)
(i) Anita and Surjit are creating an AI application that will classify different types of fruits. The computer vision task that will identify the type of fruit and assign a label to it is called _______.
a) segmentation
b) classification
c) classification + localization
d) object detection
(ii) Consider the following sentence:
On seeing he son's result, Pooja's face turned red with anger. The word "red" demonstrates which characteristic of natural language?
a) redundancy
b) context-dependent meaning
c) grammatical structure
d) temporal change
(iii) Ethical frameworks are premarily designed to:
a) increase the efficiency of AI algorithms
b) Ensure that choices made do not cause unintented harm
c) reduce the cost of AI development
d) speed up the AI project cycle
(iv) Statement 1: Overfitting occurs when a model memorizes the training data rather than learning patterns.
Statement 2: Using the same data for training and evaluation helps the model give accurate results.
a) both statements are correct
b) both statements are incorrect
c) statement 1 is correct but statement 2 is incorrect
d) statement 1 is incorrect but statement 2 is correct
(v) Which learning approach would be most suitable for training an AI model to park the car correctly?
a) supervised learning
b) unsupervised learning
c) transfer learning
d) reinforcement learning
(vi) Which stage of the AI Project Cycle involves testing the model on newly fetched data?
a) data exploration
b) modelling
c) evaluation
d) deployment
Q.3 Answer any 5 out of the given 6 questions (1X5=5 marks)
(i) In the context of autonomous vehicle safety systems, which type of error would be most critical to minimize?
a) False Positive (detecting danger when there isn’t any)
b) False Negative (failing to detect actual danger)
c) True Positive (detecting danger correctly)
d) True Negative (correctly identifying that there is no danger)
(ii) What is the range of possible pixel values in a byte image format?
a) 0 to 100
b) 0 to 255
c) 1 to 256
d) -128 to 127
(iii) An e-commerce platform analyzes customer purchase patterns to recommend “Customers who bought product x also bought product y.” This uses:
a) Classification model
b) Regression model
c) Association model
d) Clustering model
(iv) As AI is essentially being used as a decision making / influencing tool, we need to ensure that AI makes morally acceptable recommendations. Which of the following is a key factor that can knowingly or unknowingly influences our decision-making while designing an AI model?
a) Intuition and Values
b) Algorithm efficiency
c) Data storage capacity
d) Processing speed
(v) Which NLP application helps in converting natural speech into text in real time?
a) Keyword Extraction tool
b) Translation of books from English to Hindi language
c) Auto generated captions on YouTube
d) Classifying raw text into pre-defined groups
(vi) In supervised learning, what is the purpose of the testing dataset?
a) To train the model
b) To evaluate the model’s accuracy
c) To create new features
d) To label the data
Q.4 Answer any 5 out of the given 6 questions (1X5=5 marks)
(i) In a fire alarm system, if the model predicts “Fire Present” when there is actually no fire, this is classified as:
a) True Positive (TP)
b) True Negative (TN)
c) False Positive (FP)
d) False Negative (FN)
(ii) Assertion (A): Bioethics is an example of a value-based Framework for AI.
Reason (R): Bioethics deals with ethical issues related to health, medicine, and biological sciences.
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
(iii) Which scenario best represents a regression problem?
a) identifying whether and email is spam
b) grouping customers by behaviour
c) predicting tomorrow's temperature
d) recognising faces in photos
(iv) Which of the following best describes the relationship between pixels and image resolution?
a) more pixels result in lower image quality
b) pixels and resolution are unrelated concepts
c) resolution depends only on image file size
d) the number of pixels in an image is known as resolution
(v) Precision is defined as:
a) The ratio of correctly predicted positive observations to total observations
b) The ratio of correctly predicted positive observations to total predictive positive observations
c) The ratio of correctly predicted negative observations to total observations
d) The harmonic mean of true positives and true negatives
(vi) Which type of chat bot requires coding and works on bigger database directly?
a) Script bot
b) Smart bot
c) Traditional bot
d) Rule-based bot
Q.5 Answer any 5 out of the given 6 questions (1X5=5 marks)
(i) Which AI domain would be most suitable for developing a price comparison website?
a) Computer Vision
b) Natural Language Processing
c) Statistical Data
d) Robotics
(ii) Assertion (A): Converting text to lowercase is preferable in text preprocessing.
Reason (R): It ensures that "Hello" and "hello" are treated as the same word by the machine.
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
(iii) In the context of Computer Vision vs Image Processing, which statement correctly differentiates them?
a) Computer Vision and Image Processing are exactly the same
b) Computer Vision enhances the image while Image Processing does not
c) Computer Vision is a superset of Image Processing
d) Image Processing is a superset of Computer Vision
(iv) State True or False:
In machine learning, the error is used to see how accurately the model can predict data.
Ans: True
(v) A company wants to analyze customer reviews to understand satisfaction levels. Which NLP application would be most suitable?
a) Text classification
b) Sentiment analysis
c) Keyword extraction
d) Language translation
(vi) An AI model was tested with 1000 test samples. If True Positive (TP) = 200, True Negative (TN) = 600, False Positive (FP) = 100, False Negative (FN) = 100, how many total predictions were correct?
a) 300
b) 600
c) 800
d) 900
SECTION B: SUBJECTIVE TYPE QUESTIONS
Answer any 3 out of the given 5 questions on Employability Skills (2X3=6 marks) Answer each question in 20 – 30 words.
6. Write the 7 C's of Communication.
Ans: (i) Clear (ii) Concise (iii) Concrete (iv) Correct (v) Coherent (vi) Complete (vii) Courteous
7. (a) What is emotional intelligence?
Ans: Emotional Intelligence means the ability to understand and control your own emotions and also understand the emotions of others.
(b) Name any two skills included in emotional intelligence.
Ans: Skills included in Emotional Intelligence are:
(i) Self-awareness (ii) Self-regulation (iii) Motivation (iv) Empathy (v) Social skills
8. How do ICT skills help us in our day-to-day activities?
Ans: ICT skills help us use computers, mobile phones, and the internet effectively in our daily life. They make communication easier through emails, messages, and video calls. ICT skills also help us search for information quickly, create documents and presentations, attend online classes or meetings, and use online banking or shopping services. In simple words, ICT skills make our daily tasks faster, easier, and more convenient.
9. State the qualities to become a successful entrepreneur.
Ans: Some of the qualities to become a successful entrepreneur:
(i) Self-confidence
(ii) Self-motivation
(iii) Risk-taking ability
(iv) Decision-making skills
(v) Leadership skills
(vi) Creativity and innovation
(vii) Problem-solving ability
10. Define the term 'Sustainable Development'.
Ans: Sustainable Development means developing and using resources carefully so that we can meet our needs today without harming the needs of future generations.
Answer any 4 out of the given 6 questions (2X4=8 marks) Answer each question in 20 – 30 words.
11. Explain the difference between sector-based and value-based ethical frameworks with one example of each.
Ans:
12. Give any two characteristics of a Classification Model.
Ans:
13. How do computers store RGB images?
Ans:
14. Give two differences between Supervised and Unsupervised learning.
Ans:
15. Explain Train-test split technique with respect to machine learning algorithm.
Ans:
16. How is Stemming different from Lemmatization? Explain how the word "wolves” would be processed by stemming and lemmatization.
Ans:
Answer any 3 out of the given 5 questions (4X3=12 marks) Answer each question in 50 – 80 words.
17. Differentiate between Deep Learning, Artificial Intelligence and Machine Learning. Also draw a labelled Venn diagram depicting the relationship between AI, ML and DL.
Ans:
18. Consider the following scenarios and identify which AI domain would be most appropriate for each, with justification:
(a) An AI based education platform needs to translate to English language and analyze thousands of student essays to provide instant feedback on grammar, content quality and writing style.
Ans:
(b) An AI based application installed on a busy crossing in a metropolitan city scans all vehicles driving through that crossing during peak traffic hours and categorizes them into four wheelers and two wheelers.
Ans:
19. Read the following paragraph and answer the questions that follow:
PQR Security Solutions has designed an AI model to detect cyber attacks on e-commerce websites. For this, various network activities were monitord and analysed on one of the websites. The model was tested on a dataset of 1500 network activities. Out of these, the model correctly predicted that 1000 were cyber attacks. It also correctly identified that 250 were not cyber attacks. However, the model predicted that 200 cyber attacks but actually they were not. Additionally, it predicted that 50 were not cyber attacks but they actually were.
(a) Draw the confusion matrix based on the given scenario.
Ans:
(b) How many total cases are True Negative in the above scenario?
Ans:
(c) Calculate Precision.
Ans:
20. (a) Expand and define the terms CNN and ANN.
Ans:
(b) In the diagram of neural network given below, identify the layer that should be depicted in Box 1 and Box 2:
-----image
Ans:
21. Consider the following documents:
Document 1: Data Science requires information.
Document 2: Information analysis requires data.
Implement all the four steps of Bag of Words (BoW) model to create a document vector table.
Ans:
Download Now - Class 10 AI 417 Previous Year Question Paper (PYQP) 2025-26 with Solution