Students can access the CBSE Sample Papers for Class 10 AI with Solutions and marking scheme Set 1 will help students in understanding the difficulty level of the exam.
CBSE Sample Papers for Class 10 AI Set 1 with Solutions
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 5 questions.
- There is no negative marking.
- Do as per the instructions given.
- Marks allotted are mentioned against each question/part.
- 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
Question 1.
Answer any 4 out of the given 6 questions on Employability Skills. (4×1=4)
(i) Which of the following sentences contains a direct object?
(a) She laughed at the joke.
(b) He gave his friend a gift.
(c) They walked to the park.
(d) The cat slept on the mat.
Answer:
(b) He gave his friend a gift.
(ii) A network administrator is explaining the concept of a Network Operating System (NOS) to a new team member. Which definition accurately describes a Network Operating System?
(a) Manages hardware on a single computer.
(b) Runs on mobile devices.
(c) Coordinates resources across multiple computers.
(d) Provides a graphical user interface.
Answer:
(c) Coordinates resources across multiple computers
(iii) Which of the following best demonstrates self-awareness?
(a) Knowing the details of your friend’s personal life.
(b) Recognizing your own strengths and weaknesses.
(c) Understanding the company’s financial status.
(d) Being familiar with popular trends on social media.
Answer:
(b) Recognizing your own strengths and weaknesses.
(iv) What is a common characteristic of work done by successful entrepreneurs?
(a) It avoids financial risks
(b) It often involves innovation and risk-taking
(c) It depends on stable employment
(d) It follows traditional business methods
Answer:
(b) It often involves innovation and risk-taking
(v) Assertion (A) Sustainable development aims to meet the needs of the present without compromising the ability of future generations to meet their own needs.
Reason (R) Sustainable development focuses on balancing economic growth, environmental protection, and social equity to achieve long-term well-being.
(a) Both A and R are true, and R is the correct explanation of A
(b) Both A and R are true, but R is not the correct explanation of A
(c) A is true, but R is false
(d) A is false, but R is true
Answer:
(a) Both A and R are true, and R is the correct explanation of A
(vi) What is a key indicator of working independently?
(a) Frequently asking for help on tasks.
(b) Completing assignments without external guidance.
(c) Relying on team members for decision-making.
(d) Seeking regular feedback from supervisors.
Answer:
(b) Completing assignments without external guidance
Question 2.
Answer any 5 out of the given 6 questions. (5×1=5)
(i) Assertion (A) Bioethics ensures that AI systems in healthcare cause the least harm and promote fairness.
Reason (R) One of the core principles of bioethics is to maximize profits for hospitals using AI systems.
(a) Both A and R are true, and R is the correct explanation of A
(b) Both A and R are true, but R is not the correct explanation of A
(c) A is true, but R is false
(d) A is false, but R is true
Answer:
(c) A is true, but R is false
(ii) An AI-based hiring system selects fewer women because it was trained on biased past data favoring men.
What kind of AI issue does this represent?
(a) Algorithm optimization
(b) Data redundancy
(c) Ethical bias
(d) Overfitting
Answer:
(c) Ethical bias
(iii) Statement 1 Bioethics is a sector-based ethical framework used in healthcare to ensure AI systems are fair and do no harm.
Statement 2 Utility-based ethical frameworks focus on actions that result in maximum harm and minimum benefit.
(a) Both statements are true
(b) Both statements are false
(c) Statement 1 is true and Statement 2 is false
(d) Statement 1 is false and Statement 2 is true
Answer:
(c) Statement I is true and Statement 2 is false
(iv) Which task is an example of using unsupervised learning to simplify data without affecting its essential patterns?
(a) Sorting emails into spam or not spam
(b) Predicting sales next month
(c) Reducing dimensions in customer preference data
(d) Assigning grades based on performance
Answer:
(c) Reducing dimensions in customer preference data
(v) What does resolution of an image refer to?
(a) The size of the filter applied
(b) The number of layers in a CNN
(c) The number of pixels in an image expressed as width x height
(d) The number of grayscale levels
Answer:
(c) The number of pixels in an image expressed as width x height
Mistake Alert
Students often confuse image resolution with color depth or filter size in CNNs.
Resolution refers strictly to how many pixels make up the image, not the quality of those pixels or how a Lodel processes them.
(vi) Which NLP technique is used to classify feedback into categories like News, Sports, or Politics?
(a) Text Classification
(b) Semantic Analysis
(c) Lexical Analysis
(d) Speech Recognition
Answer:
(a) Text Classification
Question 3.
Answer any 5 out of the given 6 questions. (5×1=5)
(i) In NLP, the words that we want to filter out before doing any analysis of the text are called:
(a) Lemmas
(b) Tokens
(c) Stemming words
(d) Stop words
Answer:
(i) (d) Stop words
(ii) Which of the following best describes a rule-based AI system?
(a) Learns from feedback and adapts over time
(b) Uses labeled data to make predictions
(c) Operates strictly on predefined conditions and logic
(d) Finds patterns in unstructured data without supervision
Answer:
(c) Operates strictly on predefined conditions and logic
(iii) Which application of NLP helps businesses understand how customers feel about their services?
(a) Lexical Analysis
(b) Sentiment Analysis
(c) Keyword Extraction
(d) Parsing
Answer:
(b) Sentiment Analysis
(iv) What is the key difference between classification and regression models in supervised learning?
(a) Regression uses labeled data, classification does not
(b) Classification predicts categories, regression predicts continuous values
(c) Regression is unsupervised; classification is supervised
(d) Classification uses reinforcement signals
Answer:
(b) Classification predicts categories, regression predicts continuous values
(v) Look at the image showing a user speaking to a smart assistant on their phone. The assistant replies with a relevant response.
What AI subfield is primarily responsible for enabling the assistant to understand and respond to spoken commands?
(a) Computer Vision
(b) Machine Learning
(c) Deep Learning
(d) Natural Language Processing
Answer:
(d) Natural Language Processing
(vi) A model is built for a hiring platform and shows gender bias due to past hiring data. This issue relates to:
(a) Transparency
(b) Precision
(c) Bias
(d) Accountability
Answer:
(c) Bias
Question 4.
Answer any 5 out of the given 6 questions. (5×1=5)
(i) Which statement best explains why Smart Bots require NLP and AI ćapabilities?
(a) They use only Boolean logic to process input
(b) They mimic human reasoning and improve with experience
(c) They avoid the use of external data sources
(d) They follow rigid, predefined rules for every user input
Answer:
(b) They mimic human reasoning and improve with experience
(ii) Statement 1 Accuracy is a reliable performance metric when working with balanced datasets. Statement 2 Precision is used when minimizing False Negatives is more important than False Positives.
(a) Both statements are true
(b) Statement 1 is true, Statement 2 is false
(c) Statement 1 is false, Statement 2 is true
(d) Both statements are false
Answer:
(b) Statement 1 is true, Statement 2 is false
(iii) A classification model predicts 90 True Positives, 5 False Positives, 3 False Negatives, and 2 True Negatives. What is the accuracy of the model?
(a) 0.92
(b) 0.90
(c) 0.89
(d) 0.95
Answer:
(a) 0.92
(iv) Which subcategory of machine learning is based on maximizing cumulative rewards through trial and error?
(a) Supervised Learning
(b) Unsupervised Learning
(c) Reinforcement Learning
(d) Rule-Based Learning
Answer:
(c) Reinforcement Learning
(v) Observe the image carefully and answer the question below:
In reinforcement learning, what in the above scene plays the role of the environment in a car parking task?
(a) The self-driving algorithm
(b) The human driver
(c) The parking lot and surrounding objects
(d) The reward signal
Answer:
(c) The parking lot and surrounding objects
(vi) An AI developer ensures the chatbot communicates respectfully without harmful language. This reflects which ethical framework?
(a) Virtue-based
(b) Utility-based
(c) Rights-based
(d) Sector-based
Answer:
(a) Virtue-based
Question 5.
Answer any 5 out of the given 6 questions. (5×1=5)
(i) What is the purpose of using ethical frameworks in AI development?
(a) To reduce programming errors
(b) To improve app performance
(c) To ensure decisions are fair and responsible
(d) To increase processing speed
Answer:
(c) To ensure decisions are fair and responsible
(ii) Statement 1 The F1 Score is helpful in scenarios with imbalanced datasets.
Statement 2 The F1 Score balances Precision and Recall to give a more accurate evaluation of model performance.
(a) Both statements are true
(b) Statement 1 is true, Statement 2 is false
(c) Statement 1 is false, Statement 2 is true
(d) Both statements are false
Answer:
(a) Both statements are true
(iii) Which of the following best explains the goal of tuning model parameters after seeing prediction errors?
(a) Increase training data
(b) Improve model transparency
(c) Reduce prediction error
(d) Add more hidden layers
Answer:
(c) Reduce prediction error
(iv) How does Tokenization assist in Named Entity Recognition (NER) tasks?
(a) It removes all punctuation and numbers
(b) It converts entities into lowercase form
(c) It breaks the text into manageable components like words
(d) It filters out stopwords from sentences
Answer:
(c) It breaks the text into manageable components like words
(v) If a model predicts a negative for a patient who actually has a disease, it results in:
(a) True Negative
(b) False Negative
(c) True Positive
(d) False Positive
Answer:
(b) False Negative
(vi) Which task is the least suitable for a Script Bot?
(a) Order status check using keywords
(b) Fixed FAQ support on a website
(c) Conversational AI for personalized responses
(d) Returning error messages for unrecognized inputs
Answer:
(c) Conversational AI for personalized responses
Section B
Subjective Type Questions
Answer any 3 out of the given 5 questions on Employability skills. Answer each question in 20-30 words. (3 x2=6)
Question 6.
What is the primary function of the Start menu in Windows operating systems?
Answer:
The Start menu provides a central access point for launching applications, accessing system settings, and finding files. It helps users efficiently navigate and manage their software and system functions by offering a list of installed programs and quick access to frequently used features and documents.
Question 7.
You’re starting a new project and want to understand your strengths and areas for improvement. What are some effective ways to gain self-knowledge?
Answer:
To understand yourself better, consider reflecting on past experiences, seeking feedback from peers, and taking personality or skills assessments. These methods help identify your strengths, areas for improvement, and personal preferences, allowing you to approach new projects more effectively.
Question 8.
Why is being energetic an important quality for an entrepreneur?
Answer:
Being energetic is crucial for entrepreneurs as it drives persistence and enthusiasm in overcoming challenges and pursuing goals. This vitality helps them remain motivated, inspire their team, and actively engage in problem-solving, which is essential for navigating the dynamic and often demanding nature of entrepreneurship.
Question 9.
A community has initiated a project to protect local forests and wildlife habitats by reducing deforestation and promoting biodiversity. How does this effort contribute to sustainable development, and what specific benefits might it bring to the community?
Answer:
By protecting local forests and wildlife habitats, the community preserves ecosystems that provide vital resources like clean air, water, and food. This conservation effort helps combat climate change, prevent soil erosion, and maintain ecological balance. Additionally, it can enhance local biodiversity, support sustainable livelihoods through eco-tourism, and improve overall community well-being by ensuring long-term environmental health and resilience
Question 10.
What are the principles of an effective communication?
Answer:
The principle of consistency in effective communication involves maintaining uniformity in your message and style. Consistent communication ensures that your message is clear and reliable, fostering trust and understanding. For instance, if a company consistently uses formal language in its communications, it reinforces a professional image and avoids confusing the audience with mixed messages. Consistency in tone, format, and terminology helps the audience follow and retain the information more effectively.
Answer any 4 out of the given 6 questions in 20-30 words each. (4×2=8)
Question 11.
Describe the principle of privacy in AI and its ethical implications.
Answer:
Privacy in AI involves safeguarding personal data and respecting individuals’ right to control their information. Ethical implications include protecting users from data breaches, unauthorized surveillance, and ensuring that AI systems do not violate privacy laws or personal boundaries.
Question 12.
How does a supervised learning model understand what output to produce for given input data?
Answer:
In supervised learning, the model is trained on labeled data. Each input has a corresponding output label, helping the model learn correct input-output mappings through examples.
Question 13.
Which type of neural network helps self-driving cars and facial recognition systems understand visual data?
Answer:
Convolutional Neural Networks (CNNs) help in analyzing images by detecting patterns like shapes and colors, making them ideal for self-driving cars, facial recognition, and medical imaging.
Question 14.
What technology is being used in the image shown below to unlock the smartphone?
Answer:
Facial recognition, a Computer Vision application, is used for tasks like unlocking smartphones by defecting and verifying faces in digital images or videos.
Question 15.
How do machines prepare raw text before analyzing it in NLP?
Answer:
Machines use text normalization to clean and standardize raw text by converting cases, removing stopwords and punctuation, and breaking it into tokens for better natural language understanding.
Question 16.
How does a confusion matrix help evaluate a classification model?
Answer:
A confusion matrix compares actual values with predicted ones, helping identify true/false positives and negatives, and providing metrics like accuracy, precision, and recall to assess model performance.
Answer any 3 out of the given 5 questions in 50-80 words each. (3×4=12)
Question 17.
In the context of a forest fire detection model, how do the different outcomes of the confusion matrix reflect the accuracy of predictions?
Answer:
In a forest fire detection system, the confusion matrix outcomes illustrate how well the model’s predictions match reality. A True Positive (TP) indicates the model correctly predicted a fire when it existed. A True Negative (TN) shows it correctly identified no fire. However, a False Positive (FP) means it predicted a fire that didn’t occur-wasting resources. A False Negative (FN) is the most dangerous, where it failed to predict an actual fire, risking loss. The matrix helps developers assess the model’s reliability and focus on minimizing harmful errors like FNs, especially in high-stakes environments.
Question 18.
How do data acquisition methods like sensors, web scraping, and APIs ensure the reliability of AI systems?
Answer:
Reliable data acquisition is essential for training effective AI models. Different methods like sensors, web scraping, and APIs collect diverse and relevant datasets. Sensors capture real-time physical data (e.g., temperature, movement), which is useful for applications like weather prediction or smart devices.
Web scraping gathers large volumes of online information for analysis. APIs enable access to structured data from platforms like Twitter or government websites. These sources provide timely and context-rich data. Ensuring accuracy, ethical collection, and relevance of this data helps the AI system learn genuine patterns, resulting in more precise, fair, and effective outcomes across various domains.
Question 19.
In what ways is the working of a deep learning model compared to a multi-story building, and how does it lead to accurate predictions?
Answer:
The functioning of a deep learning model is often compared to a multi-story building to simplify its layered structure. The input layer, like the ground floor, receives raw data such as an image. The hidden layers, which act as the middle floors, process the data in stages, each learning different features. For example, one layer might detect edges, another may recognize shapes, and yet another could identify objects by combining these features.
Question 20.
Consider the text of the following documents:
Document 1 Trees provide us oxygen
Document 2 Forests are full of trees
Document 3 We must protect trees and forests
Apply all the four steps of Bag of Words model of NLP on the above documents and generate the output.
Answer:
Step 1 Text Preprocessing
D1 trees provide us oxygen
D2 forests are full of trees
D3 we must protect trees and forests
Step 2 Vocabulary Creation
[trees, provide, us, oxygen, forests, are, full, of, we, must, protect, and]
Step 3 Vectorization:
| Word | Dl | D2 | D3 |
| trees provide us oxygen forests are full of we must protect and |
1 1 1 I o o o o o O O O |
1 0 0 0 1 1 1 1 0 0 0 0 |
1 0 0 0 1 0 0 0 1 1 1 1 |
Step 4: Result
Final matrix shows word counts across all documents using Bag of Words.
Question 21.
Imagine you’re a researcher tasked with improving workplace safety in a manufacturing environment. You decide to employ computer vision technology to enhance safety measures.
Answer:
Computer Vision enables machines to analyze visual data from cameras and take automated actions based on what they detect. In a manufacturing environment, two key applications are:
- PPE Compliance Monitoring Computer vision systems can detect whether workers are wearing required safety gear such as helmets, gloves, goggles, or vests. If any PPE is missing, an alert is raised immediately to ensure compliance.
- Hazard and Anomaly Detection in Machinery Cameras powered by computer vision can continuously monitor machines to detect unusual behavior such as smoke, leaks, vibrations, or overheating. This helps prevent accidents by allowing quick response before a malfunction occurs. These applications help reduce human error and create a safer and more efficient workplace.