Class 9 Half Yearly Question Paper 2025-26 AI

CBSE CLASS 9
Half Yearly Question Paper
Session 2025-26

AI

Exam CBSE Class 9
Subject AI
Session 2025-26
Document Type Half Yearly Question Paper

Notes · Sample Papers · Previous Year Papers · Mock Tests

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Question Paper
HALF YEARLY EXAMINATION
SESSION: 2025 – 2026 ag
CLASS: IX MAXIMUM MARKS: 50
SUBJECT: ARTIFICIAL INTELLIGENCE (417) TIME: 2 HOURS
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GENERAL INSTRUCTIONS:-

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1. Please read the instructions carefully.

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2. This Question Paper consists of 21 questions in two sections i.e. Section A, Section B and 5 no of pages.

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3. Section A has Objective type Questions whereas Section B contains Subjective type questions.

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4. All questions of a particular section must be attempted in the correct order.

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5. SECTION- A OBJECTIVE TYPEUESTIONS.

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• This section has 05 questions.
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• Marks allotted are mentioned against each question/part.

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• There is no negative marking.
• Do as per the instructions given.
6. SECTION-B SUBJECTIVE TYPE QUESTIONS.
• This section has 16 questions.
• A candidate must do 12 questions.
• Marks allotted are mentioned against each question/part.
• Do as per the instructions given.
SECTION A: OBJECTIVE TYPE QUESTIONS

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1. Answer any 4 out of 6 questions. (4×1=4)
I.
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Which of the following is not a self-management skill? 1
a) Problem solving
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b) Bargaining

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a do we get instant feedback?
c) Understanding self d) Confidence
II. In which of the following communications, 1
a) Visual communication b) Written communication
c) Oral communication d) Non-verbal communication
III. Match the following : 1
Column A: Barriers Column B: Examples
1. Language A. Trying to read a book when somebody else is

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watching TV in the same room.

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2. Emotional B. In some cultures, wearing shoes and walking
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inside the kitchen is considered rude and

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disrespectful.

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C. Talking in Hindi when others know only Tamil.

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4. Cultural

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a) 1->D;2-A;3->C;4->B
b) 1->C;2->D;3->A;4->B
c) 1->C;2->D,3->B;4->A
d) 1->C;2->A;3->D;4->B
IV. Personal hygiene is essential because it helps in our daily lives to 1
a) Stay healthy
b) Avoid feeling ashamed due to bad breath/body odour
c) Create a good image of ourselves.

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d) All of these

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V. ___________are the normal gifted trades that come easily to us without making special efforts. 1
a) Strengths b) Weakness c) Interest d) Abilities
VI. Which method of communication includes facial expressions, posture, gestures/body language, 1
touch, and use of space?
(a) Verbal Communication
(b) Non-verbal Communication
(c) Visual Communication
(d) None of the above
2. Answer any 5 out of given 6 questions (5 × 1 = 5)
I. The 4Ws Canvas helps us to analyze and understand the nature of a problem. Which of the 1
following are included in the 4Ws?
a) What, Where, Why, Who
b) When, Where, Why, Who
c) What, When, How, Who
d) What, Where, When, How
II. The scientist who first used the term “artificial intelligence”. 1
a) Allen Turing b) John McCarthy c) Guido Van Rossum d) Ada Lovelace
III. Aditi, a student of class XII, developed a chatbot that clarifies the doubts of Economics 1
students. She trained the software with lots of data sets catering to all difficulty levels. If any
student would type or ask questions related to Economics, the software would give an instant
reply. Identify the domain of AI in the given scenario.
a) Computer Vision b) Data Science
c) Natural Language Processing d) None of these
IV. Which of the following is a feature of AI in smartphones? 1
a) Remote controlled Drone b) Self – Driving Car
c) Face Lock d) Self- watering Plant system
V. Rajat has made a model which predicts the performance of Indian Cricket players in upcoming 1
matches. He collected the data of players’ performance with respect to stadium, bowlers,
opponent team and health. His model works with good accuracy and precision value.
Which of the statements given below is incorrect?
a) Data gathered with respect to stadium, bowlers, opponent team and health is known as
Testing Data.
b) Data given to an AI model to check accuracy and precision is Testing Data.
c) Training data and testing data are acquired in the Data Acquisition stage.
d) Training data is always larger as compared to testing data.
VI. Instructions given to a computer to carry out a specific task is called a _____________. 1
a) Job b) Work c) Program d) None of these
3. Answer any 5 out of given 6 questions (5 × 1 = 5)
I. AI systems that are used in the criminal justice system to predict future criminal behaviour can 1
turn into mass surveillance of our public spaces, destroying any concept of privacy. Which AI
principle is violated here?
a)Bias b) Privacy c) Human Rights d)Lack of Access
II. What is the output of the expression 3 + 2 * 2 in Python? 1
III. To print the value of a variable, python uses: 1
a) Print statement b) Print statement c) Print() d) print()
IV. Assertion (A): Using strong password and enabling multi factor authentication are some 1
important practices for cyber security.
Reason (R): Regularly updating software and system with the latest security patches is not an
important cyber security practice.

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a) Both A and R are true and R is the correct explanation of A.
b) Both A and R re true and R is not the correct explanation of A
c) A is true but R is false. ag
d) A is false but R is true.
V. What type of data includes information like gender, favourite colour, and movie genre? 1
a) Quantitative Data b) Numerical Data
c) Discrete Data d) Qualitative Data
VI. Which of the following are valid sources for collecting data? 1
i) Announcements

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ii) Surveys

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iii) Web scraping

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iv) Application Programming Interface (API)
Options:
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a) i, ii and iii b) i, ii and iv

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c) ii, iii and iv d) i, iii and iv
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Answer any 5 out of given 6 questions (5 × 1 = 5)
Which of the following is not a step in the data literacy process framework?
a) Import and tidy data b) Analyze and communicate
c) Explore and visualize d) Build Machine Learning Model
II. Which of these is not a key activity in problem scoping? 1
a)Identifying the core problem
b) Articulating the problem statement
c) Selecting the AI model architecture

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d) Setting measurable objectives

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III. A predictive model that arrives at an outcome through a branching series of decision-making 1

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questions is known as a_________________.
a) Training model
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c) Decision tree model d) None of these

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IV. Which of the following is not an ethical risk to consider? 1
a) Bias in training data b) Privacy violations
c) Environmental impacts d) Hardware compatibility issues
V. Read the examples given below: [Choose the options that are not AI.] 1
i. Using Chat GPT to write an email
ii. Face unlock technology of mobile phones using camera
iii. Turning off lights with an IoT device
iv. Hand sanitizer dispenser having sensor.

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a) i and ii b) iii and i c) iii and iv d) i, iii and iv

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VI. FI Score is the measure of the balance between _______________ 1

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a) Accuracy and Precision b) Precision and Recall

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c) Recall and Accuracy d) Recall and Reality

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Answer any 5 out of given 6 questions (5 × 1 = 5)

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What is web scraping? 1

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a) A technique used to protect websites from cyber attacks
b) The process of designing web pages using HTML and CSS
c) A method of extracting data from websites using software
d) The practice of storing website data for offline use manually
II. Which of the following is an example of secure connection? 1
a) Http website b) Public Wi-Fi network
c) Https website d) Unencrypted email
III. The Indian Government banned a few apps stating, “Servers in the hostile nation are receiving 1

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and using the acquired data improperly”. Which terminology suits best for this action?

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a) AI Ethics b) Data Privacy c) AI Bias d) AI Access

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IV. __________ enables machine to improve at tasks with experience. 1
a) Deep learning b) Machine learning c) AI d) None of these
V. Which of the following is NOT a type of data? 1
a) Numerical data b) Textual data
c) Categorical data d) Intellectual data
VI. In the data pyramid, which level represents the highest level of understanding? 1
a) Data b) Information c) Knowledge d) Wisdom
Section B : Subjective Type Questions
Answer any 3 out of 5 questions. (3 × 2 = 6)
6. List any two best practices for effective communication. 2

7. Define strength and weakness. Explain the significance of identifying personal strengths and 2
weaknesses.

8. State the importance of Self-Management skills. 2

9. Write any four factors that affects communication. 2

10. Define verbal communication. Give one real-life example of oral communication in daily life. 2
Answer any 4 out of 6 questions. (4 × 2 = 8)
11. Riya is developing a model to identify whether a message is spam or not. She has collected 2
1000 messages and decides to use 800 of them to train her model and the remaining 200 to test
how well her model works.
Based on this situation, answer the following:
a) What is the purpose of the training data in Riya’s project?
b) Why is it important to use testing data separately from training data?

12. Explain the role of data encryption in ensuring data security? 2

13. Differentiate between Ethics and Moral with suitable examples. 2

14. Write the output of the following python statements. 2

i) print(“Good Morning, India”)
ii) print(0.25*0.5*2.5)

15. Differentiate between Rule-based and Learning-based approach in Al modelling. 2
16. Define Data Literacy? 2
Answer any 3 out of the given 5 questions. (4 × 3 = 12)
17. Describe the DIKW model with the help of a real-life example. How does this model help in 4
improving data literacy skills among students?
18. Match the Following: 4
Column A Column B
i)Problem Scoping a) implements a suitable model that matches the requirements
ii) Data Acquisition b) interprets some useful information out of data.
iii) Data Exploration c)collects data from reliable sources.
iv)Modelling d) finalises the aim of the AI project.

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c. 19.o Write a Python program to input marks for 5 subjects, calculate total,sepercentage .co

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m remark based on percentage (above 90 - Excellent, 75-90 - Good, a
se Improvement). Explain the logic used.
a g lbelow 75 - Needs
20. Your grandmother watches you use AI applications. She wants to understand more about it. 4
Help her understand the term artificial intelligence by giving the right definition and explain to
her with an example how machines become artificially intelligent.

21. An AI model made the following sales prediction for a new mobile phone, which they have 4
recently launched:

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Reality

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Confusion Matrix
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Yes No
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Yes 50 40
Prediction
No 12 10

(i) Identify the total number of wrong predictions made by the model. (½ )
(ii) Calculate accuracy, precision, recall and F1 Score. (½+1+1+1)

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