Preparing for the Class 10 CBSE board examination becomes easier when students practice from sample question papers. The CBSE Class 10 AI 417 Sample Question Paper 2022-23 with Solution is specially designed according to the latest exam pattern released by the Central Board of Secondary Education. These sample papers help students understand the type of questions asked in the exam, marking scheme, and time management. By solving them regularly, students can improve their confidence and reduce exam stress.
Class 10 AI Code 417 Sample Question Papers are very important for CBSE board exams because they cover both theoretical and practical concepts of Artificial Intelligence. With solutions provided, students can easily check their answers and learn the correct method of solving questions. These papers also help in revising the complete syllabus in a structured way. Practicing CBSE Class 10 AI 417 sample papers boosts accuracy, strengthens concepts, and helps students score better marks in the final board examination.
CBSE Class 10 AI 417 Sample QP 2022-23 with Solution
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The Year-Wise CBSE Class 10 Artificial Intelligence (417) Pre-Board and Sample Question Papers with Solutions are provided at the bottom of this post.
CBSE Class 10 AI 417 Sample Question Paper Session (2022-23)
CBSE | DEPARTMENT OF SKILL EDUCATION
ARTIFICIAL INTELLIGENCE (SUBJECT CODE - 417)
Sample Question Paper (SQP) Solution for Class X (Session 2022-2023)
Max. Time: 2 Hours
Max. Marks: 50
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 05 questions.
- Marks allotted are mentioned against each question/part.
- There is no negative marking.
- Do as per the instructions given.
- 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
Q.1 Answer any 4 out of the given 6 questions on Employability Skills (1X4=4 marks)
i. Pranjali gets up at 5 am and goes to her badminton classes. Then she comes home and finishes her homework before going to school. She does this all by herself. No one tells her to do it. This is an example of
(a) Self-motivation
(b) External motivation
(c) Both self and external motivation
(d) Not any specific type of motivation
ii. Which of the following can cause stress?
(a) Yoga and meditation
(b) Driving during rush hour
(c) Organized academic life
(d) Enjoying holidays with family
iii. What is the term used when you quickly click the left mouse button twice?
(a) Hover
(b) Drag and drop
(c) Double clicking
(d) Moving
iv. Ravi learnt that if a laptop gets overheated, the internal parts get damaged. What happens if he leaves his device plugged in even after it is charged 100%?
(a) It can break
(b) It can stop functioning
(c) It can overheat
(d) Data can get corrupt
v. Srishti is a young woman who makes earrings. She buys jute from a farmer and makes earrings from that. She sees that most women in her village do not work. So, she hires two women to help her. As her orders increase, she hires three more women to work for her. How was she helping her village grow?
(a) By selling earrings to women without a job
(b) By purchasing earrings from the local market
(c) By buying jute from the local farmer and by providing jobs to local women
(d) By attracting the women in her village with her creative earrings
vi. Mary has two people who work for her. Every day, she spends one hour with them to learn about what they’ve done that day.
(a) Creates a new product
(b) Divides income
(c) Manages the business
(d) Takes risks
Q.2 Answer any 5 out of the given 6 questions (1X5=5 marks)
i. _______ and _______ are AI based applications that help us in navigation.
Ans: Google Maps, Wazw, Apple Maps, Ola, Uber
ii. “This type of intelligence measure’s one’s awareness of the natural world around them and their sensitivities to any changes that occur. It allows us to identify the variation among two different species and understand how they are related”.
Identify the type of intelligence described in the above sentence.
Ans: Naturalist Intelligence
Ans: Naturalist Intelligence
iii. Identify the incorrect statement(s) from the following:
(i) Deep learning is a subset of Machine Learning
(ii) Machine Learning is a subset of Deep Learning
(iii) Artificial Intelligence is a subset of Deep Learning
(iv) Deep Learning is the advanced form of AI and ML
(a) only (i)
(b) (ii) and (iii)
(c) (i) and (ii)
(d) Only (iii)
iv. Search engines not only predict what popular searches may apply to your query as you start typing, but it looks at the whole picture and recognizes what you’re trying to say rather than the exact search words. This is an example of
(a) Computer Vision
(b) Data Sciences
(c) Natural Language Processing
(d) Natural Language Understanding
v. When a user installs an app in the smartphone, it asks for access to gallery, contacts, etc. After accepting this, it gives the user agreement which most users accept without realizing the implications. What is the concern here?
(a) Data Privacy
(b) Unemployment
(c) AI bias
(d) No concern
vi. We can’t make “good” decisions without information. (True/False)
Ans: True
Q.3 Answer any 5 out of the given 6 questions (1X5=5 marks)
i. __________ helps us to summarise all the key points into one single Template so that in future, whenever there is a need to look back at the basis of the problem, we can take a look at this and understand the key elements of it.
Ans: Problem Statement Template
ii. Divya was learning neural networks. She understood that there were three layers in a neural network. Help her identify the layer that does processing in the neural network.
(a) Output layer
(b) Hidden layer
(c) Input layer
(d) Data layer
iii. Smita is working on a project that involves over a lakh of records. Which of the following should she use to make the best project?
(a) Traditional programming
(b) Manual processing
(c) IoT
(d) Neural networks
iv. For better efficiency of an AI project Training data should be _______
i) Relevant
ii) Scattered
iii) Structured
iv) Authentic
Choose the correct option:
(a) Both i and ii
(b) Both i and iv
(c) Only i
(d) Only iv
v. The _______Sustainable Development Goals (SDGs) were launched at the United Nations Sustainable Development Summit in New York in the year 2015, forming the 2030 Agenda for Sustainable Development.
(a) 17
(b) 15
(c) 13
(d) 19
vi. Identify the algorithm based on the given graph
(a) Dimensionality reduction
(b) Classification
(c) Clustering
(d) Regression
Q.4 Answer any 5 out of the given 6 questions (1X5=5 marks)
i. _______________ helps in assigning a predefined category to a document, organize it in such a way that helps customers to find information they want. For example spam filtering in email, auto tagging on social media, categorization of news articles etc.
Ans: Prediction
ii. Which of the following is the type of data used by NLP applications?
(a) Images
(b) Numerical data
(c) Graphical data
(d) Text and Speech
iii. 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.
Ans: Corpus
iv. What is the full form of TF-IDF?
Ans: Term Frequency Inverse Document Frequency
v. A corpus contains 12 documents. How many document vectors will be there for that corpus?
(a) 12
(b) 1
(c) 24
(d) 1/12
vi. Identify the type of chatbot with the information given below:
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.
Ans: Script bot
Q.5 Answer any 5 out of the given 6 questions (1X5=5 marks)
i. The output given by the AI machine is known as ________ (Prediction/ Reality)
Ans: Prediction
ii. _____________ is used to record the result of comparison between the prediction and reality. It is not an evaluation metric but a record which can help in evaluation.
Ans: Confusion Matrix
iii. Raunak was learning the conditions that make up the confusion matrix. He came across a scenario in which the machine that was supposed to predict an animal was always predicting not an animal. What is this condition called?
(a) False Positive
(b) True Positive
(c) False Negative
(d) True Negative
iv. Which two evaluation methods are used to calculate F1 Score?
(a) Precision and Accuracy
(b) Precision and Recall
(c) Accuracy and Recall
(d) Precision, F1 score
v. Which of the following statements is not true about overfitting models?
(a) This model learns the pattern and noise in the data to such extent that it harms the performance of the model on the new dataset
(b) Training result is very good and the test result is poor
(c) It interprets noise as patterns in the data
(d) The training accuracy and test accuracy both are low
vi. Priya was confused with the terms used in the evaluation stage. Suggest her the term used for the percentage of correct predictions out of all the observations.
(a) Accuracy
(b) Precision
(c) Recall
(d) F1 Score
SECTION B: SUBJECTIVE TYPE QUESTIONS
Answer any 3 out of the given 5 questions on Employability Skills (2X3=6 marks) Answer each question in 20 – 30 words.
Q.6 In SMART goals, what does ‘A’ stand for? Explain.
Ans: In SMART goals, A refers for Achievable, it means breaking down big goals into smaller parts will make the goal achievable.
For example Bigger Goal: “I want to become a teacher in my school.”
Breaking it into smaller goals: Complete higher secondary > Complete Graduation > Complete B.Ed.
Q.7 Sameera is always punctual at school. She has a regular schedule that she follows every day. She plans for study and play time in advance. Enlist the four steps Sameera must have followed for effective time management.
Ans: For effective time management, Sameera must have followed these four simple steps:
(i) Set clear goals: Decide what tasks (study, homework, play, etc.) need to be done each day.
(ii) Make a timetable: Plan specific time for each activity in advance.
(iii) Prioritize important work: Do important tasks like studies first before leisure activities.
(iv) Follow the schedule regularly: Stick to the planned routine daily to avoid wasting time.
Q.8 Enlist any two methods to protect our data on the computer.
Ans: Here are any four simple methods to protect data on a computer:
(i) Use strong passwords - Create passwords that are hard to guess and change them regularly.
(ii) Install antivirus software - It protects the computer from viruses and malware.
(iii) Take regular backups - Save important data on an external drive or cloud storage.
(iv) Do not open unknown files or links - They may contain harmful programs.
Q.9 What do entrepreneurs do when they run their business? Mention any two points.
Ans: (i) Plan ideas for products or services
(ii) Arrange money and resources needed for the business
(iii) Make decisions about work, staff, and expenses
(iv) Take risks to grow and improve the business
Q.10 Raj has a small convenience store in his locality. There are many other convenience stores in the area. Yet, Raj’s store survives the competition and does well. Which stage of an entrepreneur's career process can you relate this to? Explain.
Ans: This situation relates to the Survive stage of an entrepreneur’s career process.
In the Survive stage, an entrepreneur faces strong competition in the market and works hard to keep the business running. Even though there are many other convenience stores in Raj’s locality, his store continues to exist and perform well. This shows that Raj has successfully managed challenges like competition, customer needs, and daily expenses.
Answer any 4 out of the given 6 questions (2X4=8 marks) Answer each question in 20 – 30 words.
Q.11 How do you understand whether a machine/application is AI based or not? Explain with the help of an example.
Ans: Any machine that learns from data and can make decisions or give predictions by itself is called Artificial Intelligence (AI).
For example, a normal bot or automatic machine that does not learn from data is not AI. But a chatbot that can understand and reply in human language is an AI system.
Q.12 If you do an image search for vacations on a popular search engine, the first few searches mostly return the picture of beaches. What is the concern here? Explain.
Ans: When you search for “vacations,” the search engine mostly shows beach pictures. This means the system is favoring one type of vacation over others like mountains, cities, or forests.
This happens because the AI learns from past data and popular searches. If most people click on beach photos, the system thinks beaches are the best match for vacations.
This can be a problem because it gives a limited and biased view, and does not show all types of vacation options equally.
Q. 13 Suhana works for a company wherein she was assigned the task of developing a project using AI project cycle. She knew that the first stage was scoping the problem. Help her list the remaining stages that she must go through to develop the project.
Ans: Steps of AI project life cycle:
1. Data Acquisition
2. Data Exploration
3. Modelling
4. Evaluation
Q.14 What will be the results of conversion of the term, ‘happily’ in the process of stemming and lemmatization? Which process takes longer time for execution?
Ans: Stemming:
Happily → Happi (it removes the ending without caring about meaning)
Lemmatization:
Happily → Happy (it converts it into the correct base word)
Lemmatization takes longer time than stemming. Because, stemming just cuts word endings (fast but less accurate and lemmatization checks grammar and meaning (slow but accurate)
Q.15 What do we get from the “bag of words'' algorithm?
Ans: Bag of words gives us two things:
1. A vocabulary of words for the corpus
2. The frequency of these words
Q.16 People of a village are totally dependent on the farmers for their daily food items. Farmers grow new seeds by checking the weather conditions every year. An AI model is being deployed in the village which predicts the chances of heavy rain to alert farmers which helps them in doing the farming at the right time. Which evaluation parameter out of precision, recall and F1 Score is best to evaluate the performance of this AI model? Explain.
Ans: Let us take each of the factor into consideration at once, If precision is considered, FN cases will not be taken into account, so it will be of great loss as if the machine will predict there will be no heavy rain, but if the rain occurred, it will be a big monetary loss due to damage to crops.
If only recall is considered, then FP cases will not be taken into account. This situation will also cause a big amount of loss, as all people of the village are dependent on farmers for food, and if the model predicts there will be heavy rain and the farmers may not grow crops, it will affect the basic needs of the people.
Hence F1 Score is the best suited parameter to test this AI model, which is the balance between Precision and Recall.
Answer any 3 out of the given 5 questions (4X3=12 marks) Answer each question in 50 – 80 words.
Q.17 Ashwat is amazed to learn about his sister Ananya who is multi-talented and has excelled in academics, music, dancing, sports and painting. He was quite curious when Ananya told him that he too possessed all these intelligences like every human being does, but only at different levels. He wondered which intelligence she was talking about. Can you help Ashwat in learning about different types of intelligences by naming and explaining any four types of intelligences?
Ans: All humans possess 9 types of intelligence but at different levels. They are:
1. Mathematical Logical Reasoning: ability to regulate, measure, and understand numerical symbols, abstraction and logic.
2. Linguistic Intelligence: Language processing skills both in terms of understanding or implementation in writing or verbally.
3. Spatial Visual Intelligence: ability to perceive the visual world and the relationship of one object to another.
4. Kinesthetic Intelligence: ability that is related to how a person uses his limbs in a skilled manner.
5. Musical Intelligence: ability to recognize and create sounds, rhythms, and sound patterns.
6. Intrapersonal Intelligence: Describes how high the level of self-awareness someone has is. Starting from realizing weakness, strength, to his own feelings.
7. Existential Intelligence: An additional category of intelligence relating to religious and spiritual awareness.
8. Naturalist Intelligence: An additional category of intelligence relating to the ability to process information on the environment around us.
9. Interpersonal intelligence: ability to communicate with others by understanding other people's feelings & influence of the person.
Q.18 Samarth attended a seminar on Artificial Intelligence and has now been asked to write a report on his learnings from the seminar. Being a non-technical person, he understood that the AI enabled machine uses data of different formats in many of the daily based applications but failed to sync it with the right terminologies and express the details. Help Samarth define Artificial Intelligence, list the three domains of AI and the data that is used in these domains.
Ans: Artificial Intelligence (AI) refers to any technique that enables computers to mimic human intelligence i.e., make decisions, predict the future, learn and improve on its own.
With respect to the type of data fed in the AI model, AI models can be broadly categorised into three domains:
1. Data sciences
2. Computer vision
3. Natural Language Processing
Data Science takes input in the form of numeric and alphanumeric data. Computer Vision takes input in the form of images and videos. Natural Language Processing takes input in the form of text and speech.
Q.19 Neural networks are said to be modelled the way how neurons in the human brain behave. A similar system is mimicked by the AI machine to perform certain tasks.
Explain how neural networks work in an AI model and mention any three features of Neural Networks.
Ans: Neural networks are loosely modelled after how neurons in the human brain behave.
The features of a neural network are:
1. They are able to extract data features automatically without needing the input of the programmer.
2. A neural network is essentially a system of organizing machine learning algorithms to perform certain tasks.
3. It is a fast and efficient way to solve problems for which the dataset is very large, such as in images.
Q.20 Samiksha, a student of class X was exploring the Natural Language Processing domain. She got stuck while performing the text normalisation. Help her to normalise the text on the segmented sentences given below:
Document 1: Akash and Ajay are best friends.
Document 2: Akash likes to play football but Ajay prefers to play online games.
Ans: 1. Tokenisation: Akash, and, Ajay, are, best, friends, Akash, likes, to, play, football, but, Ajay, prefers, to, play, online, games
2. Removal of stopwords: Akash, Ajay, best, friends, Akash, likes, play, football, Ajay, prefers, play, online, games
3. converting text to a common case: akash, ajay, best, friends, akash, likes, play, football, ajay, prefers, play, online, games
4. Stemming/Lemmatisation: akash, ajay, best, friend, akash, like, play, football, ajay, prefer, play, online, game
Q.21 Automated trade industry has developed an AI model which predicts the selling and purchasing of automobiles. During testing, the AI model came up with the following predictions.
| Confusion Matrix | Reality | ||
|---|---|---|---|
| Yes | No | ||
| Predicted | Yes | 60 | 25 |
| No | 05 | 10 | |
(i) How many total tests have been performed in the above scenario?
Ans: TP=60, TN=10, FP=25, FN=5
60+25+5+10=100 total cases have been performed
60+25+5+10=100 total cases have been performed
(ii) Calculate precision, recall and F1 Score.
Ans: (Note: For calculating Precision, Recall and F1 score, we need not multiply the formula by 100 as all these parameters need to range between 0 to 1)
Precision =TP/(TP+FP)
=60/(60+25)
=60/85
=0.7
Recall=TP/(TP+FN)
=60/(60+5)
=60/65
=0.92
F1 Score=2*Precision*Recall/(Precision+Recall)
=2*0.7*0.92/(0.7+0.92)
=0.79
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