CBSE Class 10 Artificial Intelligence Code 417 Sample Question Paper 2024-25 with Solution
CBSE has uploaded the Class 10 Artificial Intelligence (AI) Code 417 Sample Question Paper for the session 2024-25. Interestingly, this sample question paper is exactly the same as the 2023-24 session paper, with only the academic year changed. There is no difference in the question pattern or content.
Therefore, students should confidently access and practice the 2023-24 Sample Question Paper, as it is fully applicable for the 2024-25 board examination. Other important sample question paper links and previous year question papers are also provided below for additional practice.
CBSE Released Same AI Code 417 Sample Paper for 2024-25
CBSE often continues with the same sample question papers when there is no major change in the syllabus or exam pattern. For the 2024–25 session, CBSE has followed the same approach by uploading the previous session’s Class 10 AI Code 417 sample paper again.
This helps students focus more on practice instead of worrying about new formats. The sample paper reflects the latest CBSE marking scheme and examination style, making it a valuable resource for board exam preparation.
Why Sample Question Papers and Previous Year Papers Are Important
Sample question papers and previous year question papers are extremely helpful for every CBSE student. They allow students to:
Understand Exam Pattern
Students get a clear idea about question types, marks distribution, and difficulty level.
- Improve Time Management: Practicing full papers helps students learn how to complete the exam within the given time.
- Identify Weak Areas: Solving different papers highlights topics that need more revision.
- Boost Confidence: Regular practice reduces exam stress and increases self-confidence.
How to Prepare for CBSE Class 10 AI Code 417 Board Examination
To score well in CBSE Class 10 Artificial Intelligence Code 417, students should first complete the entire syllabus thoroughly. After that, revise each chapter and practice MCQs, short answer, and long answer questions regularly.
Make it a habit to solve sample question papers and previous year papers in exam-like conditions. Analyze mistakes carefully and work on improving weak sections. With smart planning, regular revision, and consistent practice using these papers, students can perform confidently in the CBSE board exams.
CBSE Class 10 AI 417 Sample QP 2024-25 with Solution
You can download the free PDF of Class 10 AI 417 sample pre-board question paper from our website and start practicing today. Download Link available in last.
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 (2024-25)
CBSE | DEPARTMENT OF SKILL EDUCATION
ARTIFICIAL INTELLIGENCE (SUBJECT CODE - 417)
Sample Question Paper (SQP) Solution for Class X (Session 2024-2025)
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) “M D Gulati started with a small shop with his focus, dedication and clear ideas, MDH became one of the most popular brands in India besides having a good reputation all over the world”.
Which self-management skill is clearly visible in the given statement?
Ans: Self-motivation
(ii) When you bring the mouse over a file in File Explorer, it will show the details of that file. This is known as
(a) Drag and drop
(b) Double click
(c) Hover
(d) Single click
(iii) Assertion (A): A doctor works for a renowned hospital.
Reason (R): The statement given above is an example of wage employment.
(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
(iv) _____ the work is all about identifying and noting how we spent our time, and analysing how to spend our time effectively.
(a) Organising
(b) Prioritising
(c) Controlling
(d) Tracking
(v) Remya traveled to Sweden from India to pursue her higher education. But she doesn't know how to speak Swedish (language of Sweden). Because of this, she was unable to find a part time job. This is an example of _____.
(a) Interpersonal barrier
(b) Physical barrier
(c) Organisational barrier
(d) Linguistic barrier
(vi) “Efforts are made to increase the solar power generation so that our electricity needs are met and at the same time we do not pollute the environment or use up natural resources”.
Which SDG can you relate this statement to?
(a) Life on land
(b) Clean water and sanitation
(c) Affordable and clean energy
(d) Reduced inequalities
Q.2 Answer any 5 out of the given 6 questions (1X5=5 marks)
(i) Assertion (A): One can be a good singer while the other can be a great athlete.
Reason (R): Humans possess different types of intelligences but at different levels.
(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.
(ii) The Indian Government banned a few apps stating – “servers in the hostile nation are receiving and using the acquired data improperly”.
Which terminology suits best for this action?
(a) AI Ethics
(b) Data Privacy
(c) AI Bias
(d) AI Access
(iii) Statment 1: There are four layers in a neural network.
Statement 2: The first layer of the neural network is known as the output layer.
(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
(iv) Observe the given graph and fill in the blank:
_____ the neural network, better is the performance.
Ans: Larger
(v) _____ is a simple file format that stores data separated by commas.
(a) jpg
(b) doc
(c) csv
(d) png
(vi) A corpus contains 4 documents in which the word ‘diet’ was appearing once in document1. Identify the term in which we can categorise the word ‘diet’.
(a) Stop word
(b) Rare word
(c) Frequent word
(d) Removable word
Q.3 Answer any 5 out of the given 6 questions (1X5=5 marks)
(i) Read the examples given below:
i. Using Chat GPT to write an email
ii. Face unlock technology of mobile phones using camera
iii. Turning off lights with IoT device
iv. Hand sanitizer dispenser having sensor Choose the options that are not AI
Choose the options that are not AI
(a) i and ii
(b) iii and i
(c) iii and iv
(d) i, iii and iv
(ii) _____ refer to the type of features that we want to collect.
Ans: Data / Data features
(iii) Which of the following is an application of data science?
(a) Text summarization
(b) Target Advertisements
(c) Face lock in smartphones
(d) Email filters
(iv) _____ is the process of finding instances of real-world objects in images or videos.
(a) Instance segmentation
(b) Object detection
(c) Classification
(d) Image segmentation
(v) Identify the given Chat bot type:
It learns from its environment and experience. It also builds on its capabilities based on the knowledge. These can collaborate with humans, working along-side them and learning from their behavior.
Ans: Smart Bot/ AI Bot
(vi) F1 Score is the measure of the balance between
(a) Accuracy and Precision
(b) Precision and Recall
(c) Recall and Accuracy
(d) Recall and Reality
Q.4 Answer any 5 out of the given 6 questions (1X5=5 marks)
(i) Srishti learnt about AI terminologies but was not able to recollect the term that is used to refer to machines that perform tasks with vast amounts of data using neural networks. Help her with the correct term.
Ans: Deep learning
(ii) Statement 1: The output given by the AI model is known as reality.
Statement 2: The real scenario is known as Prediction.
(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
(iii) Rajat has made a model which predicts the performance of Indian Cricket players in upcoming matches. He collected the data of players’ performance with respect to stadium, bowlers, opponent team and health. His model works with good accuracy and precision value. Which of the statement given below is incorrect?
(a) Data gathered with respect to stadium, bowlers, opponent team and health is known as Testing Data.
(b) Data given to an AI model to check accuracy and precision is Testing Data.
(c) Training data and testing data are acquired in the Data Acquisition stage.
(d) Training data is always larger as compared to testing data.
(iv) How many channels does a colour image have?
Ans: Three channels
(v) Which feature of NLP helps in understanding the emotions of the people mentioned with the feedback?
(a) Virtual Assistants
(b) Sentiment Analysis
(c) Text classification
(d) Automatic Summarization
(vi) Sarthak made a face mask detector system for which he had collected the dataset and used all the dataset to train the model. Then, he used the same data to evaluate the model which resulted in the correct answer all the time but was not able to perform with unknown dataset.
Name the concept.
Ans: Overfitting
Q.5 Answer any 5 out of the given 6 questions (1X5=5 marks)
(i) Aditi, a student of class XII developed a chatbot that clarifies the doubts of Economics students. She trained the software with lots of data sets catering to all difficulty levels. If any student would type or ask questions related to Economics, the software would give an instant reply. Identify the domain of AI in the given scenario.
(a) Computer Vision
(b) Data Science
(c) Natural Language Processing
(d) None of these
(ii) Which evaluation parameter takes into consideration all the correct predictions?
Ans: Accuracy
(iii) ______ means a picture element which is the smallest unit of information that makes up a picture.
(a) Vision
(b) Pics
(c) Pixel
(d) Piskel
(iv) What do you mean by syntax of a language?
(a) Meaning of a sentence
(b) Grammatical structure of a sentence
(c) Semantics of a sentence
(d) Synonym of a sentence
(v) Which algorithms result in two things, a vocabulary of words and frequency of the words in the corpus?
(a) Sentence segmentation
(b) Tokenisation
(c) Bag of words
(d) Text normalisation
(vi) Which one of the following scenario result in a high false positive cost?
(a) viral outbreak
(b) forest fire
(c) flood
(d) spam filter
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 List any two best practices for effective communication.
Ans: (i) Use simple language
(ii) Be respectful of others’ opinions
(iii) Use visuals
(iv) Take help of a translator to overcome differences in language
7. What is the importance of setting goals in life?
Ans: The process of goal setting in your life helps you decide on how to live your life, where you want to be, and how you want to be in the future. This will make you successful in your career and personal life. It helps you to focus on the end result instead of less important work.
8. “The Trojan Horse was a wooden horse said to have been used by the Greeks during the Trojan War to enter the city of Troy and win the war”.
What does Trojan horse mean in computer terminology?
Ans: A Trojan Horse is a type of malware which disguises itself i.e., it appears to be a useful software program but once it reaches a computer it starts behaving like a virus and destroys data.
9. How is society helping entrepreneurs in their business?
Ans: Society is helping entrepreneurs by (i) making money (ii) creating needs (iii) buying/selling of items
10. Mention any two human activities that lead to environmental degradation.
Ans: (i) Use of fertilisers, pesticides,etc for increasing the production of crops.
(ii) Cutting down of forests for personal use such as construction of buildings, factories etc.
Answer any 4 out of the given 6 questions (2X4=8 marks) Answer each question in 20 – 30 words.
11. All of us use smartphones. When we install a new app, it asks us for several permissions to access our phone’s data in different ways. Why do apps collect such data?
Ans: To provide customized notifications and recommendations. Apps use data to work smoothly, understand users better, and offer relevant services - but users should always check permissions carefully to protect privacy.
12. Sirisha and Divisha want to make a model which will organize the unlabeled input data into groups based on features. Which learning model should they use and why?
Ans: Clustering model/Unsupervised learning is used to organize the unlabeled input data into groups based on features.
Clustering is an unsupervised learning algorithm which can cluster unknown data according to the patterns or trends identified out of it. The patterns observed might be the ones which are known to the developer or it might even come up with some unique patterns out of it.
13. Ajay wants to access data from various sources. Suggest him any two points that he needs to keep in mind while accessing data from any data source.
Ans: While accessing data from any of the data sources, following points should be kept in mind:
(i) Personal datasets should only be used with the consent of the owner.
(ii) Data which is available for public usage only should be taken up.
(iii) Data should only be taken from reliable sources as the data collected from random sources can be wrong or unusable.
14. Explain the term resolution with an example.
Ans: Resolution of an image refers to the number of pixels in an image, across the width and height. For example a monitor resolution of 1280×1024. This means there are 1280 pixels from one side to the other, and 1024 from top to bottom.
15. Identify any two stop words which should not be removed from the given sentence and why?
Get help and support whether you're shopping now or need help with a past purchase. Contact us at abc@pwershel.com or on our website www.pwershel.com
Ans: Stopwords in the given sentence which should not be removed are:
@, . (fullstop) ,_(underscore) , 123(numbers)
These tokens are generally considered as stopwords, but in the above sentence, these tokens are part of email id. removing these tokens may lead to invalid website address and email ID. So these words should not be removed from the above sentence.
16. Draw the confusion matrix for the following data:
the number of true positive = 100
the number of true negative 47
the number of false negative = 290
the number of false positive = 62
Ans:
| Confusion Matrix | Reality | ||
|---|---|---|---|
| Yes | No | ||
| Prediction | Yes | 100 | 62 |
| No | 290 | 47 | |
Answer any 3 out of the given 5 questions (4X3=12 marks) Answer each question in 50 – 80 words.
17. Your grandmother watches you use AI applications. She wants to understand more about it. Help her understand the term artificial intelligence by giving the right definition and explain to her with an example how machines become artificially intelligent.
Ans: When a machine possesses the ability to mimic human traits, i.e., make decisions, predict the future, learn and improve on its own, it is said to have artificial intelligence. In other words, you can say that a machine is artificially intelligent when it can accomplish tasks by itself - collect data, understand it, analyse it, learn from it, and improve it.
Machines become intelligent once they are trained with some data which helps them achieve their tasks. AI machines also keep updating their knowledge to optimise their output. For example, Netflix gives us recommendations on the basis of what we like. Whenever we start liking a new genre, it updates and gives better suggestions.
18. Akhil wants to learn how to scope the problem for an AI Project. Explain him the following:
(a) 4W Problem Canvas
Ans: The 4Ws Problem canvas helps in identifying the key elements related to the problem. The 4Ws are Who, What, Where and Why
- The “Who” block helps in analysing the people getting affected directly or indirectly due to the problem.
- The “What” block helps us to determine the nature of the problem.
- The “Where” block helps us to look into the situation in which the problem arises, the context of it, and the locations where it is prominent.
- The “Why” block suggests to us the benefits which the stakeholders would get from the solution and how it will benefit them as well as the society
(b) Problem Statement Template
| Our | [stakeholders] | Who |
|---|---|---|
| Have a problem that | [need] | What |
| When/while | [context/ location/ situation] | Where |
| An ideal solution would be | [solution] | Why |
19. Identify and explain the types of the learning-based approaches in the figures given below.
Ans: The learning-based approaches shown in the given figures are Supervised learning and Unsupervised learning.
Figure 1: In a supervised learning model, the dataset which is fed to the machine is labelled. In other words, we can say that the dataset is known to the person who is training the machine only then he/she is able to label the data. A label is some information which can be used as a tag for data.
Here, labelled images of dog and cat are fed into the model and trained. The model correctly identifies the given input as dog.
Figure 2: An unsupervised learning model works on unlabelled dataset. This means that the data which is fed to the machine is random and there is a possibility that the person who is training the model does not have any information regarding it. The unsupervised learning models are used to identify relationships, patterns and trends out of the data which is fed into it. It helps the user in understanding what the data is about and what are the major features identified by the machine in it.
Here, images of a set of animals are fed into the AI model and the model clusters them based on similar features.
20. We, human beings, can read, write and understand many languages. But computers can understand only machine language. Do you think we might face any challenges if we try to teach computers how to understand and interact in human languages? Explain.
Ans: Yes, we might face any challenges if we try to teach computers how to understand and interact in human languages.
The possible difficulties are:
1. Arrangement of the words and meaning - the computer has to identify the different parts of a speech. Also, it may be extremely difficult for a computer to understand the meaning behind the language we use.
2. Multiple Meanings of a word - same word can be used in a number of different ways which according to the context of the statement changes its meaning completely.
3. Perfect Syntax, no Meaning - Sometimes, a statement can have a perfectly correct syntax but it does not mean anything. For example, take a look at this statement:
Chickens feed extravagantly while the moon drinks tea.
This statement is correct grammatically but does this make any sense? In Human language, a perfect balance of syntax and semantics is important for better understanding.
21. An AI model made the following sales prediction for a new mobile phone which they have recently launched:
| Confusion Matrix | Reality | ||
|---|---|---|---|
| Yes | No | ||
| Prediction | Yes | 50 | 40 |
| No | 12 | 10 | |
(i) Identify the total number of wrong predictions made by the model.
Ans: The total number of wrong predictions made by the model is the sum of false positive and false negative. FP+FN=40+12= 52
(ii) Calculate precision, recall and F1 Score.
Ans: Precision=TP/(TP+FP)
=50/(50+40) 50/90
=0.55
Recall=TP/(TP+FN)
=50/(50+12)
=50/62
=.81
F1 Score = 2*Precision*Recall/(Precision+Recall)
=2*0.55*.81/(.55+.81)
=.891/1.36
=0.65
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