CBSE Sample Papers for Class 10 AI Set 9 with Solutions

Students must start practicing the questions from CBSE Sample Papers for Class 10 AI with Solutions Set 9 are designed as per the revised syllabus.

CBSE Sample Papers for Class 10 AI Set 9 with Solutions

Time Allowed: 2 hours
Maximum 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):
   • This section has 05 questions.
   • Marks allotted are mentioned against each question/part.
   • There is no negative marking.
   • Do as per the instructions given.
7. 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

1. Answer any 4 out of the given 6 questions on Employability Skills. (1 × 4 = 4 marks)
(i) Maria is a manager at a tech company. She notices that her team is not as productive as they used to be and decides to condud an exercise to help her team get into old form. She decides to take her team for a vacation. After returning from the vacation, she found some of her members back in their old zeal, but some still needed some improvement. Taking the decision to take her team for a vacation shows which type of trait of Maria’s personality? [1]
Answer:
Maria is a self- motivated person who knows how to take charge of a situation and to resolve the problem. She doesn’t wait for someone to tell her what to do.

(ii) What is the term used when you quickly click the left mouse button twice? [1]
(A) Hover
(B) Drag and drop
(C) Double clicking
(D) Moving
Answer:
(C) Double clicking

Explanation:
Double clicking is an action in which the user clicks quickly twice on an icon, usually to open it.

(iii) Assertion(A): After four years, Rahul has opened two new retail chain stores in the same city. It is an example of ‘grow’ stage of entrepreneurship as a career process.
Reason(R): During this stage, an entrepreneur decides to start a business venture and enters the market. [1]
(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 not correct.
(D) A is not correct but R is correct.
Answer:
(C) A is correct but R is not correct.

Explanation:
During ‘grow’ stage, entrepreneurs focus on expanding their business operations, increasing market share and scaling their ventures. Opening additional stores in the same city signifies an expansion strategy aimed at capitalising on existing success and further penetrating the local market.

(iv) Employees who possess this ability also have better decision-making and time management skills is known as. [1]
(A) Decision- management skills
(B) Time management skills
(C) Self-control skills
(D) Self-management skills
Answer:
(D) Self-management skills

Explanation:
The ability to control one’s thoughts, emotions and behaviours in order to accomplish personal objectives and maintain wellbeing is referred to as having self-management skills. Employees who possess this ability also have better decision-making and time management skills.

(v) Raj is a software engineer from India who relocated to Germany for a job. He has strong technical skills, but he struggles to communicate effectively with his colleagues due to the language barrier. This situation is an example of. [1]
(A) Cultural barrier
(B) Physical barrier
(C) Organisational barrier
(D) Linguistic barrier
Answer:
(D) Linguistic barrier

Explanation:
A linguistic barrier occurs when a person cannot effectively communicate due to differences in language.

(vi) How many sustainable development goals are given by the United Nations?
(A) 18
(B) 17
(C) 15
(D) 20
Answer:
(B) 17

Explanation:
The United Nations has established 17 Sustainable Development Goals (SDGs) as part of the 2030 Agenda for Sustainable Development.

Answer any 5 out of the given 6 questions. (1 × 5 = 5 marks)
Question 2.
(i) Assertion(A): People with high interpersonal intelligence are good at understanding themselves.
Reason(R): Interpersonal intelligence is the ability to understand and interact effectively with others. [1]
(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 not correct.
(D) A is not correct but R is correct.
Answer:
(D) A is not correct but R is correct.

(ii) Which term refers to the responsibility of developers to ensure AI systems operate without harm to users or
society? [1]
(A) AI Bias
(B) AI Ethics
(C) AI Access
(D) Data Privacy
Answer:
(B) AI Ethics

(iii) Statement 1: The input layer of a neural network receives the initial data for processing.
Statement 2: The output layer is responsible for transforming input data into hidden representations. [1]
(A) Both Statement 1 and Statement 2 are correct.
(B) Both Statement 1 and Statement 2 are incorrect.
(C) Statement 1 is correct but Statement 2 is incorrect.
(D) Statement 2 is correct but Statement 1 is incorrect.
Answer:
(C) Statement 1 is correct but Statement 2 is incorrect.

Explanation:
The input layer is designed to accept raw data, while the output layer generates the final predictions or classifications, not hidden representations.

(iv) ____ learning rate results in the highest performance based on the graph.

Answer:
0.01

(v) ____ programming language is most commonly used for data manipulation and analysis in data science. [1]
(A) Java
(B) Python
(C) HTML
(D) C++
Answer:
(B) Python

Explanation:
Python is widely used in data science due to its simplicity and readability, as well as its powerful libraries like Pandas, NumPy and Scikit- learn that facilitate data manipulation, analysis and machine learning.

(vi) The word ‘laptop’ appears once in a collection of 50 documents. What category does it fall into? [1]
(A) Stop word
(B) Rare word
(C) Frequent word
(D) Removable word
Answer:
(B) Rare word

Answer any 5 out of the given 6 questions. (1 × 5 = 5 marks)
Question 3.
(i) Which of the following is NOT an application of AI?
i. Voice-controlled smart speaker
ii. E-commerce platform suggesting products
iv. Chatbot assisting with customer queries
iii. Calculator solving a math problem
(A) iii only
(B) i, ii, and iv
(C) i and iv
(D) ii and iii
Answer:
(A) iii only

(ii) _____ refers to the phase in the AI project cycle where we define the problem and determine the objectives of the project. [1]
Answer:
Problem Definition

(iii) Add fill up ____ of the following is NOT an application of data science? [1]
(A) Stock price prediction
(B) Web browser functionality
(C) Image recognition
(D) Social media sentiment analysis [1]
Answer:
(B) Web browser functionality

Explanation:
While web browsers utilize various technologies to enhance user experience, the core functionality of a web browser (such as rendering web pages) is not primarily driven by data science.

(iv) _____ technique is used to enhance specific features in an image while suppressing others. [1]
(A) Noise reduction
(B) Image enhancement
(C) Edge detection
(D) Image segmentation
Answer:
(B) Image enhancement

(v) Identify the given chatbot type:
It is designed to respond to specific commands and queries using a predefined set of responses. It often works in a linear fashion and does not adapt or learn from interactions. [1]
Answer:
Scripted Bot

(vi) Which metric gives the overall percentage of correct predictions made by the model? [1]
(A) Precision
(B) Recall
(C) Accuracy
(D) Specificity
Answer:
(C) Accuracy

Answer any 5 out of the given 6 questions (1 × 5 = 5 marks)
Question 4.
(i) Aisha discovered a type of algorithm that allows machines to learn from data without being explicitly programmed. This approach focuses on identifying patterns and making predictions based on input data. What is this approach called? [1]
Answer:
Machine Learning

(ii) Statement 1: True Positive refers to the cases where the model correctly predicts the positive class.
Statement 2: False Negative refers to the cases where the model incorrectly predicts the positive class as negative. [1]
(A) Both Statement 1 and Statement 2 are correct.
(B) Both Statement 1 and Statement 2 are incorrect.
(C) Statement 1 is correct but Statement 2 is incorrect.
(D) Statement 2 is correct but Statement 1 is incorrect.
Answer:
(D) Statement 2 is correct but Statement 1 is incorrect.

Explanation:
True Positive (TP) refers to instances where the model correctly identifies a positive class (e.g., correctly predicting a disease in a patient). False Negative (FN) occurs when the model incorrectly predicts a positive case as negative (e.g., failing to identify a disease when it is present).

(iii) Aryan wants to develop a recommendation system for an online shopping website. He collects data on users’
purchase history and browsing patterns. How will Aryan label this type of data in the AI process? [1]
(A) Structured Data
(B) Sample Data
(C) Training Data
(D) Real-Time Data
Answer:
(C) Training Data

(iv) How many dimensions does a typical grayscale image have? [1]
Answer:
A grayscale image has two dimensions.

(v) Which process in text normalisation involves removing common words that add little meaning? [1]
(A) Tokenisation
(B) Stopword Removal
(C) Part-of-Speech Tagging
(D) Named Entity Recognition
Answer:
(B) Stopword Removal

Explanation:
Stopword Removal eliminates frequently occurring words (like “and”, “the”, “is”) that do not contribute significant meaning, enhancing the focus on important terms.

(vi) Priya developed a predictive model using a dataset and achieved perfect accuracy during testing. However, when she applied the model to new, unseen data, it performed poorly. What concept does this situation illustrate? [1]
Answer:
Overfitting

Answer any 5 out of the given 6 questions. (1 × 5 = 5 marks)
Question 5.
(i) Aarav designed a facial recognition system for his school’s security, allowing only authorised students to enter the premises. This system operates in which AI domain? [1]
(A) Machine Learning
(B) Data Science
(C) Robotics
(D) Computer Vision
Answer:
(D) Computer Vision

(ii) Which evaluation metric focuses specifically on the proportion of true positive predictions among all predicted posi ive instances? [1]
Answer:
The evaluation metric that focuses on this is precision. Precision measures the ratio of true positives to the sum of true positives and false positives.

(iii) A is a method of compressing data by removing redundant information, often used in image and video
formats. [1]
(A) Encryption
(B) Decompression
(C) Compression
(D) Transmission
Answer:
(C) Compression

Explanation:
Compression refers to the process of reducing the size of a file by eliminating unnecessary or redundant data.

(iv) In the context of text normalisation, why is the “Bag of Words” model used? [1]
(A) Analyse the sentiment of sentences
(B) Represent text as a set of individual words while ignoring grammar and order
(C) Encode the meaning of words in context
(D) Create structured data from unstructured text
Answer:
(B) Represent text as a set of individual words while ignoring grammar and order

Explanation:
The “Bag of Words” model is a way to represent text data by treating each document as a collection of words. In this model, the frequency of each word is counted, but the order and grammar are not considered.

(v) Which technique involves transforming words into their base or root form, thereby reducing variations of a word to a common representation? [1]
(A) Stemming
(B) Tokenisation
(C) Lemmatisation
(D) Text normalisation
Answer:
(A) Stemming

Explanation:
Stemming is the process of reducing words to their base or root form, typically by removing suffixes. For example, the words “running”, “ran” and “runner” may all be stemmed to “run”.

(vi) What does the precision of a model measure? [1]
(A) True positives divided by the total predicted positives
(B) True positives divided by the total actual positives
(C) True negatives divided by the total actual negatives
(D) Overall accuracy of the model
Answer:
(A) True positives divided by the total predicted positives

Section B : Subjective Type Questions

Answer any 3 out of the given 5 questions on Employability Skills.
Answer each question in 30 words.
Question 6.
Explain specific feedback with the help of example.
Answer:
Specific feedback gives exact information on a performance, behaviour or communication element. It highlights particular activities, helping people understand what worked and what didn’t. For example, “Your
presentation’s important data supported your main arguments and highlighted your message. Well done!”

Question 7.
What is the meaning of stress management?
Answer:
Stress management refers to the techniques and strategies that individuals use to cope with stress and maintain a balanced mental and emotional state. It involves recognising stressors, understanding how they affect us and implementing methods to reduce or cope with them effectively.

Question 8.
“Regular maintenance of a computer’s cooling system is essential to prevent performance issues”.
What does ‘cleaning the cooling system’ mean in computer terminology?
Answer:
‘Cleaning the cooling system’ means removing dust and dirt from components like fans and heatsinks that help dissipate heat from the computer’s CPU and GPU. This maintenance is crucial to prevent overheating, ensure efficient cooling and maintain stable system performance by allowing proper airflow and heat dissipation.

Question 9.
Why do we need entrepreneurs if there are already so many businesses out there?
Answer:
We need entrepreneurs because they bring new ideas and solutions to the table. While existing businesses provide stability, entrepreneurs are the ones who innovate and create change. They find new ways to meet people’s needs, create jobs and drive the economy forward.

Question 10.
How can urban areas be developed to ensure long-term sustainability?
Answer:
(a) Green Spaces: Integrate parks and green areas for better air quality and biodiversity.
(b) Public Transit: Develop efficient public transportation to reduce car reliance and traffic congestion.
(c) Green Buildings: Enforce energy-efficient standards for construction to lower energy consumption and emissions.

Answer any 4 out of the given 6 questions in 20-30 words each.
Question 11.
When we use Al-powered virtual assistants like Siri, Alexa or Google Assistant, they often require access to our
voice recordings and location data. Why do these virtual assistants need such information? [2]
Answer:
Al-powered virtual assistants collect voice recordings to understand and improve their natural language processing (NLP) capabilities. By analysing user queries, they can enhance their ability to recognise speech patterns, accents and contextual meaning. Access to location data enables them to provide personalised responses, such as giving accurate weather forecasts, nearby restaurant recommendations or traffic updates.

Question 12.
Rohan is developing a system for diagnosing car engine issues based on specific symptoms like unusual noises,
warning lights or poor mileage. He wants the system to provide clear, predefined solutions based on these symptoms. Which AI approach should Rohan use and why? [2]
Answer:
Rohan should use a Rule-Based System. A Rule-Based System uses if-then rules to draw conclusions and take actions. In this case, the symptoms (like warning lights or noises) will act as inputs, and predefined rules will map these inputs to specific solutions. This approach works well when the problem domain is well understood, and expert knowledge can be encoded into rules.

Question 13.
Sneha is combining data from various online platforms for her AI project. What are two potential issues she should be aware of? [2]
Answer:
1. Differences in data formats or structures.
2. Potential duplication of data across sources.

Question 14.
What is meant by “image compression”, and how does it relate to resolution? [2]
Answer:
Image compression reduces file size, which can involve decreasing resolution to save storage while attempting to retain visual quality.

Question 15.
Priya is building a chatbot for customer support. During text normalisation, she wants to ensure that essential
words are retained. Which two words should not be removed from the sentence: “Schedule an appointment for tomorrow or cancel the current one”? Why? [2]
Answer:
The words “for” and “or” should not be removed. These words provide key context—”for” indicates the purpose, while “or” represents a choice. Removing them could alter the meaning, making the chatbot misinterpret the user’s intent.

Question 16.
For an AI model, if there are 75 true positives, 25 false negatives, 60 true negatives, and 10 false positives, provide the confusion matrix. [2]
Answer:

So, the confusion matrix looks like this:

Answer any 3 out of the given 5 questions in 50- 80 words each (4 × 3 = 12 marks)
Question 17.
Your mother wonders how virtual assistants like Siri and Alexa understand voice commands. How does AI enable
this? [4]
Answer:
Virtual assistants use AI techniques called Natural Language Processing (NLP) to understand and respond to spoken commands. When you say something like, “What s the weather today?”, the AI breaks down your sentence, understands the key parts (like “weather” and “today”) and gives you the correct answer. It learns from every interaction to improve its responses and understand different accents and languages better over time. [4]

Question 18.
Rina is working on an AI project to improve traffic management in her city. Help her with the following: [4]
(a) Explain the importance of identifying stakeholders.
(b) How’can defining success criteria help in problem scoping?
Answer:
(a) Identifying stakeholders ensures Rina understands who will be impacted by the project (e.g., drivers, government officials), helping her align the project with their needs.

(b) Defining success criteria allows Rina to measure if the AI solution meets objectives, such as reducing traffic congestion or improving travel time reliability, ensuring the project stays on track. [4]

Question 19.
Explain the concept of deep learning using this visual representation. [4]

Answer:
Deeplearning is a subset of machine learning that involves training neural networks with multiple layers. The deep structure of these networks allows them to learn complex patterns and features in data. For example, a deep neural network could be used to analyse medical images and identify abnormalities that might be indicative of disease.

Question 20.
Aryan uses a voice-activated AI to search for information online. He asked, “What’s the tallest building in Kolkata”? and got an answer about a building in another city. Why might the AI have made this mistake, and how does AI process queries to provide relevant information?
Answer:
The AI may have misunderstood the query or didn’t prioritise the location “Kolkata” in its response. When processing queries, AI uses NLP to break down and understand the input. However, it might incorrectly weigh certain parts of the query or lack sufficient geographic data to provide the right answer. AI models must be trained to recognise the significance of location-specific terms and ensure that the search results are relevant. This requires extensive training on diverse datasets and an understanding of how different words interact to form meaningful queries.

Question 21.
A weather prediction model forecasts whether it will rain or not. The confusion matrix is:
Answer:

(i) Calculate the total correct predictions made by the model.
Answer:
(i) Total correct predictions = True Positives+True Negatives = 45 + 80 = 125

(ii) Find the precision and recall.
Answer:
(i) Precision = \(\frac{45}{45+20}=\frac{45}{65}\) ≈ 0. 692
(ii) Recall = \(\frac{45}{45+15}=\frac{45}{60}\) ≈ 0. 75

The post CBSE Sample Papers for Class 10 AI Set 9 with Solutions appeared first on Learn CBSE.