MODEL TEST PAPER (X AI)

MODEL TEST PAPER – 2

Class – X                                                                              Subject – Artificial Intelligence
Max. Time: 2 Hours                                                              Max. Marks: 50

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General Instructions:

1. This Question Paper consists of 21 questions in two sections: Section A and Section B.
2. Section A contains Objective type questions while Section B contains Subjective type questions.
3. Out of the given 21 questions, a candidate must answer 15 questions.
4. Attempt all questions of a section in the correct order.

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Section A: Objective Type Questions (24 Marks)

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Q1: Answer any 4 out of the given 6 questions on Employability Skills (1 x 4 = 4 Marks)

i. Which skill is associated with prioritizing and managing tasks efficiently?

(a) Communication

(b) Self-management

(c) Problem-solving

(d) Decision-making

ii. What is the primary use of Green Skills in today’s environment?

(a) Promoting efficient time management

(b) Encouraging eco-friendly habits

(c) Enhancing productivity

(d) Improving interpersonal skills

iii. “Communicating effectively with team members helps in reducing conflicts.” Identify the skill:

(a) Entrepreneurial

(b) Communication

(c) ICT

(d) Green

iv. What term describes the act of managing energy resources sustainably?

(a) Conservation

(b) Empowerment

(c) Generation

(d) Enhancement

v. Assertion (A): Developing self-confidence improves self-esteem.
Reason (R): Self-confidence can only be achieved through public speaking skills.

(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, and R is correct

vi. Which of these is a Physical Barrier to effective communication?

(a) Lack of confidence

(b) Noise in surroundings

(c) Personal bias

(d) Misinterpretation

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Q2: Answer any 5 out of the given 6 questions on AI Concepts (1 x 5 = 5 Marks)

i. Assertion (A): Machine learning is an AI approach where algorithms improve automatically.
Reason (R): Machine learning requires manual coding for every instance.

(a) Both A and R are correct, and R explains A

(b) Both A and R are correct, but R does not explain A

(c) A is correct, but R is incorrect

(d) Both A and R are incorrect

ii. What component is essential for Natural Language Processing?

(a) Numerical data

(b) Linguistic data

(c) Sensory data

(d) Physical input

iii. Identify which of these is an example of Computer Vision:

(a) Voice recognition

(b) Sentiment analysis

(c) Face detection

(d) Text summarization

iv. In the AI Project Cycle, Data Acquisition primarily involves:

(a) Collecting relevant data

(b) Building models

(c) Creating visual representations

(d) Evaluating solutions

v. A chatbot that understands emotions through analysis is using which AI technique?

(a) Deep Learning

(b) Neural Networks

(c) Sentiment Analysis

(d) Computer Vision

vi. F1 Score balances which two metrics?

(a) Recall and Accuracy

(b) Recall and Precision

(c) Precision and Accuracy

(d) Precision and Speed

Q3: Answer any 5 out of the given 6 questions (1 x 5 = 5 Marks)

i. Which of the following technologies is NOT an example of Artificial Intelligence?

(a) Face unlock on mobile phones

(b) Automatic car braking system

(c) Smart door lock using fingerprint

(d) Simple motion sensor

ii. Data features refer to:

(a) Raw data obtained from sensors

(b) Types of data collected

(c) Characteristics used for AI model building

(d) Cleaning and preparing data

iii. Identify an application that is an example of Computer Vision:

(a) Voice-to-text transcription

(b) Self-driving cars

(c) Smart assistants like Alexa

(d) Predicting stock prices

iv. The process of identifying real-world objects in an image or video is known as:

(a) Sentiment analysis

(b) Object detection

(c) Data collection

(d) Image restoration

v. Choose the correct example of Deep Learning:

(a) A rule-based expert system

(b) A model that learns from labeled images

(c) A chatbot answering basic queries

(d) A machine performing simple calculations

vi. F1 Score is essential for evaluating models because it balances:

(a) Speed and Accuracy

(b) Precision and Recall

(c) Complexity and Execution Time

(d) Learning Rate and Accuracy

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Q4: Answer any 5 out of the given 6 questions (1 x 5 = 5 Marks)

i. Assertion (A): Sentiment Analysis is a part of Natural Language Processing.
Reason (R): It allows a machine to analyze and respond based on user emotions.

(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) Both A and R are incorrect

ii. Which AI concept allows machines to perform predictions with vast amounts of data using neural networks?

(a) Rule-based AI

(b) Deep Learning

(c) Reinforcement Learning

(d) Decision Trees

iii. Assertion (A): Training data is used to develop AI models.
Reason (R): Testing data is used to measure the model’s accuracy.

(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, and R is correct

iv. In AI, overfitting occurs when:

(a) The model works well with new, unseen data

(b) The model performs well on training data but poorly on new data

(c) The model fails to capture the underlying trend

(d) The model performs equally on all datasets

v. Pixels are:

(a) Smallest elements of a picture

(b) Data points in NLP

(c) Components of AI models

(d) Units of memory in AI systems

vi. The feature in NLP that helps understand the context and meaning behind words is:

(a) Syntax

(b) Semantic Analysis

(c) Sentiment Analysis

(d) Neural Networks

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Q5: Answer any 5 out of the given 6 questions (1 x 5 = 5 Marks)

i. An AI system designed to detect spam emails uses Natural Language Processing to:

(a) Filter spam from regular emails

(b) Block all incoming emails

(c) Send automated responses

(d) Detect images in emails

ii. Image classification is primarily used for:

(a) Recognizing speech patterns

(b) Identifying types of images or objects in them

(c) Translating languages

(d) Performing text analysis

iii. Which AI domain includes pattern recognition in massive datasets for predictive analysis?

(a) Data Science

(b) Robotics

(c) Computer Vision

(d) Game Theory

iv. CSV stands for:

(a) Comma Separated Values

(b) Command Script Verification

(c) Code Style Versioning

(d) Continuous Support Vector

v. In AI Project Cycle, the process of defining the scope of the problem is known as:

(a) Modelling

(b) Problem Scoping

(c) Evaluation

(d) Data Acquisition

vi. Instance Segmentation in Computer Vision:

(a) Detects a single object in an image

(b) Distinguishes between individual objects within a single category

(c) Segments text in an image

(d) Analyzes sound for patterns

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Section B: Subjective Type Questions (26 Marks)

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Q6 – Q10: Answer any 3 out of 5 questions on Employability Skills (2 x 3 = 6 Marks)

6. State two characteristics of an effective communicator.
7. How do entrepreneurial skills benefit society?
8. Describe two ways in which ICT Skills can improve workplace efficiency.
9. Explain the term “sustainable development.”
10. List two practices to reduce environmental pollution.

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Q11 – Q16: Answer any 4 out of 6 questions (2 x 4 = 8 Marks)

11. Define Data Privacy with an example.
12. Describe two features that characterize Machine Learning.
13. Explain the importance of data exploration in the AI Project Cycle.
14. Differentiate between Training Data and Testing Data.
15. List two AI techniques used in Natural Language Processing.
16. Why is AI Ethics crucial in AI implementation?

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Q17 – Q21: Answer any 3 out of 5 questions (4 x 3 = 12 Marks)

17. What is the 4W Problem Canvas? Explain its role in problem scoping for AI projects.
18. Outline the AI Project Cycle and its five main stages.
19. Explain Supervised and Unsupervised Learning with examples.
20. Discuss the challenges faced in Natural Language Processing.

21: An AI model made the following predictions for a new product’s customer satisfaction feedback (satisfied or unsatisfied) based on initial surveys. Use the confusion matrix below to answer the following:

	Actual: Yes (Satisfied)	Actual: No (Unsatisfied)
Predicted: Yes (Satisfied)	70	30
Predicted: No (Unsatisfied)	15	35

(i) Identify the total number of wrong predictions made by the model.
(ii) Calculate the Precision, Recall, and F1 Score.