CBSE Sample Papers for Class 10 AI Set 10 with Solutions

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

CBSE Sample Papers for Class 10 AI Set 10 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) John was feeling stressed out at work. He had a lot of deadlines to meet, a demanding boss and a growing workload. He knew he needed to do something to manage his stress levels and improve his overall well-being.
What do we call good stress? [1]
Answer:
Eustress

(ii) Which file operation allows a user to create a duplicate of an existing file in a new location without altering the original file? (1)
(A) Moving
(B) Renaming
(C) Copying
(D) Deleting
Answer:
(C) Copying
Explanation:
The ‘Copying’ operation creates a duplicate of an existing file in a new location, while the original file remains unchanged. This operation is useful for creating backups or distributing files.

(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) _____ can leads to chronic stress without the right emotional regulation skills. [1]
(A) Emotional stress
(B) Physical stress
(C) Mental stress
(D) Social stress
Answer:
Option (C) is correct.

Explanation:
Mental stress can lead to chronic stress when individuals are unable to regulate their emotions effectively, causing them to experience prolonged periods of heightened stress and anxiety.

(v) Company XYZ is experiencing issues with communication within its team. Management has seen that several , projects are running behind schedule because team members fail to compreHend each other’s expectations and directions. Employees brought up the frequent problems of confusing instructions, interpersonal disputes and technical jargon at a recent meeting.

Based on the scenario provided, which of the following barriers to effective communication is most likely
contributing to the communication breakdown at Company XYZ? [1]
(A) Semantic Barriers
(B) Physical Barriers
(C) Psychological Barriers
(D) Organisational Barriers
Answer:
(A) Semantic Barriers

Explanation:
Employees are experiencing difficulties with technical jargon and complex language, indicating semantic barriers that directly impact the understanding and communication of information.

(vi) The government has approved the use of AI based Aerobotics to monitor crops and warn about potentials risks, early pest and diseases detection. The aim is to ensure more crop-field with less problem. [1]
(A) No Poverty
(B) Zero Hunger
(C) Climate Action
(D) Artificial Language Processing
Answer:
(C) Climate Action

Explanation:
Farmers find it challenging to determine the best time to sow seeds due to climate change and rising pollution. With the aid of artificial intelligence, farmers can analyse weather conditions by using weather forecasting, which helps them plan the type of crop that can be grown and when seeds should be sown.

Answer any 5 out of the given 6 questions. (1 × 5 = 5 marks)
Question 2.
(i) Assertion(A): Logical-mathematical intelligence is required for solving complex equations.
Reason(R): Logical-mathematical intelligence involves the ability to analyse problems and think abstractly. [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 hot correct.
(D) A is not correct but R is correct.
Answer:
(A) Both A and R are correct and R is the correct explanation of A.

Explanation:
Logical-mathematical intelligence allows people to perform scientific experiments and advance humanity’s knowledge. It is crucial for fields like physics and computer science, among many others.

(ii) In medical AI, if a system shows a preference for treating one group of patients over another based on biased data, what is the primary ethical concern? [1]
(A) AI Bias
(B) AI Access
(C) AI Ethics
(D) Data Privacy
Answer:
(A) AI Bias

Explanation:
AI system is not representative of the reality it’s meant to model. It can occur due to various reasons, such as incomplete data, biased sampling or other factors that may lead to an unrepresentative dataset.

(iii) Statement 1: Neural networks are the backbone of deep learning algorithms.
Statement 2: Neural networks use vast amounts of data. [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:
(A) Both Statement 1 and Statement 2 are correct.

Explanation:
Neural networks are indeed the backbone of deep learning algorithms because they are the primary structure used to model complex patterns and relationships in data. The reason provided, that neural networks use vast amounts of data, is also correct.

(iv) Observe the given graph and fill in the blank: [1]

As the number of training epochs increases, the error rate ______.
Answer:
Decreases.

(v) In AI, ______ of data is used to train models in supervised learning? [i]
(A) Unlabelled data
(B) Labelled data
(C) Compressed data
(D) Raw data
Answer:
(B) Labelled data

Explanation:
Supervised learning in AI uses labelled training data to train models: Labelled data. Data that has tags or labels to help the AI model learn. For example, a photo of a cat might be labelled “cat”.

(vi) In a corpus of 8 documents, the word ‘and’ appears multiple times in every document. How is the word ‘and’
classified? [1]
(A) Stop word
(B) Rare word
(C) Frequent word
(D) Removable words
Answer:
(A) Stop word

Explanation:
Stop words like – and, this, is, the, etc. have highest values in a corpus. But these words do not talk about the corpus at all. Hence, these are termed as stopwords and are mostly removed at the pre-processing stage only.

Answer any 5 out of the given 6 questions (1 × 5 = 5 marks)
Question 3.
(i) Select the non-AI examples from the list below:
i. Fitness tracker counting steps
Answer:
Option (A) is correct.

Explanation:
Fitness tracker and Bluetooth headphones are devices which is not required the Internet. They don’t require any recommendation or any filtering of data.

(ii) Supervised Learning is the sub category of ____.
Answer:
Intelligent

(iii) What AI technology powers voice-controlled devices like Amazon Echo or Google Home? [l]
(A) Neural networks
(B) Speech recognition
(C) Image processing
(D) Machine translation [l]
Answer:
(B) Speech recognition

Explanation:
Because they make extensive use of Machine Learning (ML) and convolutional neural networks, which can be considered to be “Artificial Intelligence”. Listening for the wake word is a great fit for neural networks (a form of machine learning) because it is very difficult to program a speech recogniser from first principles. How should it work? But you can design and train a convolutional neural network with lots of examples of the wake words and lots of counter-examples, and it will then be able to do the recognition task very accurately.

(iv) _____ identifies the object present in the image and where it is present in the image? [1]
(A) Classification
(B) Classification and Localization
(C) Object Detection
(D) Instance Segmentation
Answer:
(B) Classification and Localization

Explanation:
Object or image recognition is a whole process that involves various traditional computer vision tasks: Image classification: labelling an image and creating categories. Object localisation: identifying the location of an object in an image, by surrounding it with a bounding box.

(v) Identify the type of chatbot with the information given below: [1]
These bots work on pre-programmed instructions inside the application/machine and are generally easy to develop. They are deployed in the customer care section of various companies. Their job is to answer some basic queries that they are coded for and connect them to human executives once they are unable to handle the
conversation.
Answer:
Script bot

(vi) What does the ‘True Negative’ (TN) value in a confusion matrix indicate? [1]
(A) Correctly predicted positive values
(B) Correctly predicted negative values
(C) Incorrectly predicted negative values
(D) Incorrectly predicted positive values
Answer:
(B) Correctly predicted negative values

Explanation: In a confusion matrix, the “True Negative” (TN) value indicates the number of negative examples that were correctly classified. In other words, it shows the number of cases where the actual label was negative and the model also predicted it as negative.

Answer any 5 out of the given 6 questions (1 × 5 = 5 marks)
Question 4.
(i) Zoya read about AI systems that learn from large amounts of labelled data. What is the AI process of learning from labelled examples known as? [1]
Answer:
Supervised Learning

(ii) Statement 1: AI can only be applied to specific industries like healthcare and finance.
Statement 2: AI is applicable across various domains, including entertainment and education. [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:
AI can be used to support digital communications, offering schedule reminders, tailored health tips and suggested next steps to patients. The ability of AI to aid in health diagnoses also improves the speed and accuracy of patient visits, leading to faster and more personalised care. And also been used in many other fields. Not only in healthcare and finance.

(iii) Sonali is designing a model to predict house prices in Bangalore. She uses 80% of her dataset to train the model and 20% to test it. Why is the training data usually larger than the testing data? [1]
(A) To ensure the testing data is more accurate
(B) To minimise the chance of bias
(C) To allow the model to learn better
(D) To prevent data from getting outdated [1]
Answer:
(C) To allow the model to learn better
Explanation: In machine learning, training data is usually larger than testing data because more data helps models learn patterns and improve accuracy Learn patterns: Models learn patterns from data, and more data helps them find and learn meaningful patterns.

(iv) The colour images are made up of _____ colours. [1]
Answer:
three

(v) Companies use ____ products and services, application of NLIJ to identify opinions and feelings/emotions
online to help them understand what customers think about their product and services. [1]
(A) Sentiment Analysis
(B) Automatic Summarisation
(C) Text classification
(D) Virtual Assistants
Answer:
(A) Sentiment Analysis

Explanation:
Companies use Natural Language Processing applications, such as sentiment analysis, to identify opinions and sentiments online to help them understand what customers think about their products and services.

(vi) Priya made an AI to detect spam emails. She used a dataset where every email was either clearly spam or not. However, the model struggled with emails that were harder to classify. What concept is Priya encountering? [1]
Answer:
Overfitting due to simplistic training data.

Answer any 5 out of the given 6 questions. (1 × 5 = 5 marks)
(i) Anjali developed a chatbot for mental health support that can analyse the sentiment of users’ messages and respond empathetically. Which domain of AI does this represent? [1]
(A) Natural Language Processing
(B) Computer Vision
(C) Robotics
(D) Data Science
Answer:
(A) Natural Language Processing

Explanation:
NLP allows the chatbot to analyse and comprehend the nuances of human language, facilitating a more natural and empathetic conversation.

(ii) Which evaluation parameter measures the proportion of true positive predictions among all positive instances?
Answer:
Precision

(iii) The number of pixels in an image is called _____ of image.
(A) Dimension
(B) Width
(C) Resolution
(D) Height
Answer:
(C) Resolution

Explanation:
The number of pixels in an image is called the image’s resolution:

Resolution: The number of pixels in an image or display, usually expressed as the total number of pixels horizontally and vertically. For example, a resolution of 1920 x 1080 means there are 1920 pixels in width and 1080 pixels in height.

(vi) _____ are the words which occur very frequently in the corpus but do not add any value to it.
(A) Special Character
(B) Stopwords
(C) Roman Numbers
(D) Useless Words
Answer:
(B) Stopwords

Explanation:
Stop words are words that occur frequently in a corpus but do not add value to it: Explanation: Stop words are commonly used words like “and”, “this”, “is”, and “the”. They are removed during the pre-processing stage of text models. Benefits: Removing stop words increases
computation and space efficiency.

(v) Ayushi was learning about NLP She wanted to know the term used for the whole textual data from all the documents altogether. Help her in identifying the term used for it. [1]
Answer:
Corpus

Explanation:
Redit Card Fraud Detection is a classification problem where different types of classification errors cause different costs.

(vi) Which scenario might have significant implications for false positives? [1]
(A) Movie recommendation system
(B) Credit card fraud detection
(C) Product recommendation
(D) Image tagging
Answer:
(B) Credit card fraud detection

Section B : Subjective Type Questions

Answer any 3 out of the given 5 questions on Employability Skills.
Answer each question in 20-30 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.
How yoga leads better sleep?
Answer:
Stress often interfaces with sleep quality, leading to insomnia or disrupted sleep pattern. Yoga can help to improve sleep by reducing stress, promoting relaxation and calming the nervous system, resulting in better sleep quality and overall restfulness.

Question 8.
“Cleaning internal components from dust and debris prevents overheating and improves system stability”. What does ‘cleaning internal components’ involve in computer maintenance?
Answer:
‘Cleaning internal components’ in computer maintenance involves removing dust and debris from parts like fans, heatsinks and vents. This helps prevent overheating, ensures proper airflow and enhances system stability and performance. Regular cleaning extends the computer’s lifespan by maintaining optimal operating conditions and reducing the risk of hardware failures.

Question 9.
Discuss the myth that successful entrepreneurs are always risk-takers. What is the reality of risk management in entrepreneurship? [2]
Answer:
The myth that successful entrepreneurs are always risk-takers overlooks the reality that effective risk management is crucial in entrepreneurship. While some level of risk is inherent, successful entrepreneurs often assess, mitigate and strategically manage risks rather than taking blind risks. They use data, research and planning to minimise potential downsides and make informed decisions.

Question 10.
Explain the role of electric vehicles in promoting environmental sustainability. [2]
Answer:
Electric vehicles reduce reliance on fossil fuels, contributing to lower air pollution. They represent a shift towards cleaner and more sustainable transportation options.

Answer any 4 out of the given 6 questions in 20-30 words each (2 × 4 = 8 marks)
Question 11.
When using voice recognition software, it can understand and respond to our queries. What branch of AI deals
with understanding human language? [2]
Answer:
Natural Language Processing (NLP) is the branch of AI that focuses on understanding and processing human language.

Question 12.
Aliya wants to develop an AI system that teaches itself to play a video game without being explicitly programmed
on how to win. Which learning model should Aliva use for this task, and why? [2]
Answer:
Recommendation to answer is correct but need to explain answer to complete second part of the question.

Question 13.
What role does the data play in AI based application? Name any two sources of online data collection for building any AI based application? AI [2]
Answer:
Two methods to protect our data on the computer:

1. Use passwords to login to your computer.
2. Install Anti-virus and Firewall
3. Encrypt Data
4. Secure sites

Question 14.
What is the role of resolution in facial recognition technology? [2]
Answer:
Higher resolution images capture more facial features, enhancing the accuracy of facial recognition algorithms.

Question 15.
How does reinforcement learning differ from traditional machine learning approaches? [2]
Answer:
Reinforcement learning focuses on learning through trial and error, receiving feedback in the form of rewards or penalties, while traditional methods typically learn from a static dataset.

Question 16.
What is the confusion matrix?
• If true positives = 90
• false positives = 5
• true negatives = 200
false negatives = 15 [2]
Answer:
True Positives (TP) = 90 [2]
False Positives (FP) = 5 True
Negatives (TN) = 200 False
Negatives (FN) = 15

Answer any 3 out of the given 5 questions in 50- 80 words each. (4 × 3 = 12 marks)
Question 17.
During a family dinner, your uncle mentions that self-driving cars are powered by AI. How do these cars use AI to drive safely? [4]
Answer:
Self-driving cars use AI to understand their surroundings. They have cameras, sensors and radars to detect other cars, pedestrians and obstacles. The AI in the car analyses this data in real-time, making decisions like when to stop, speed up or turn. This process involves computer vision (to see the environment) and decision-making algorithms (to decide what actions to take), making the car capable of driving safely on its own.

Question 18.
Tara works for a charity that wants to use AI to predict food shortages in rural areas. What elements should Tara include in her problem statement? [4]
Answer:
Current Situation: In rural areas, food shortages can occur due to climate changes, impacting local communities.

Impact: These shortages lead to malnutrition and economic instability in vulnerable populations. Desired Outcome: The AI system should predict shortages in advance, allowing relief organisations to respond with timely food distribution to mitigate hunger and economic loss.

Question 19.
What is the role of neural networks in AI? Illustrate with an example.

Answer:
Neural networks are a type of machine learning model inspired by the human brain. They are composed of interconnected layers of nodes or neurons, that process information. Neural networks are particularly effective at tasks that involve pattern recognition, such as image and speech recognition. For example, a neural network could be trained to recognise handwritten digits by learning to identify patterns in the pixel data of the images.

Question 20.
Write the applications of NLP (Natural Language Processing). (Any four) AI [4]
Answer:
Bag of Words is a Natural Language Processing model which helps in extracting features out of the text which can be helpful in machine learning algorithms.

1. In a bag of words, we get the occurrences of each word and construct the vocabulary for the corpus.
2. Bag of Words just creates a set of vectors containing the count of word occurrences in the document (reviews). Bag of Words vectors is easy to interpret.

Question 21.
A binary classifier is designed to predict whether a customer will buy a product. The confusion matrix is as follows: [4]
(i) How many total predictions were correct?
Answer:
Total correct predictions = True Negatives = 80 + 70 = 150

(ii) Calculate the recall and FI score.
Answer:
Recall = \(\frac{80}{80+30}=\frac{80}{110}\) ≈ 0. 727
F1 Score = 2 × \(\frac{0.727 \times 0.8}{0.727+0.8}\) ≈ 0. 761

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