Class 10 Pre-Board Sample Paper 2025 AI

lasem.com
g

a
PRE-BOARD
Sample Paper
2025
pdf download
model question paper / practice
paper

sample papers

Pre-Board Exam 2025
SAMPLE QUESTION PAPER

SUBJECT – ARTIFICIAL INTELLIGENCE (417)
QUESTION PAPER

TIME: 02 HOURS M.M: 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.

SECTION A

Q. 1 Answer any 4 out of the given 6 questions on Employability Skills (1 x 4 = 4 marks)

I. Sara could not prepare for her exams for many reasons such as first her grandfather passed away 1
and then she met with an accident. Now exams are very near and she is having the symptoms
like aches, shallow breathing, cold hands and feet. All these symptoms are because of
_________
(a) Bad stress (b) Good stress (c) Ailment (d) All of these
II. Which one of the following is an example of Operating System? 1
(a) Microsoft Word (b) Microsoft Windows (c) Microsoft Excel (d) Microsoft Access
III. Statement 1: Self-motivation teaches us self-discipline and hard work to achieve our goals. 1
Statement 2: Individuals experience increased anxiety and boredom when they motivate
themselves.
(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 1 is incorrect but Statement 2 is correct
IV An _______________ is a person who is self – employed, is willing to take a calculated risk, 1
and brings in a new idea to start a business.
(a) Software Engineer (b) Entrepreneur (c) Civil Engineer (d) Mechanical Engineer
V Which of these are examples of negative feedback? 1
(a) I hate to tell you this but your drawing skill is poor.
(b) You can surely improve your drawing
(c) These are good drawings but you can do better.
(d) None of the above
VI ____________ is the term to denote proper management of the natural resource to prevent its 1
exploitation, destruction or degradation.
(a) Conservation (b) Reduction (c) Reforestation (d) Green Economy
Q2 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)

I. In______ input to machines can be images, videos or pictures from thermal or infrared sensors, 1
indicators and different resources.
(a) Data Science (b) Computer Vision (c) NLP (d) Algorithm
II. Which of this is not a type of intelligence for humans? 1
(a) Linguistic Intelligence
(b) Spatial Visual Intelligence
(c) Machine Intelligence
(d) Kinaesthetic Intelligence

A well-known news channel broadcasts information on a wide range of topics, including 1
III politics, government, foreign affairs, sports and the latest movie and television news. Reporters
are in charge of gathering, evaluating and transmitting information about current events.
Furthermore, the news channel permits people to submit breaking news, which is subject to
verification by the channel’s reporters. However, it may be difficult to distinguish between real
news and fake news, which can lead to confusion among readers and threaten a news
organization’s reputation. Which of the following domains is used to detect fake news so that the
audience has a high level of trust in the news channel?
(i) Computer Vision (ii) Matrices (iii) Natural Language Processing (iv) Data Science
IV. Where does the processing in an ANN occur? 1
(a)Output Layer (b) Hidden Layer (c) Input Layer (d) Data Layer
V _______ helps to summarise all the key points into one single outline so that in future, whenever 1
there is need to look back at the basis of the problem we can take a look at it and understand the
key elements of it.
(a)4W Problem canvas (b) Problem Statement Template (c) Data Acquisition (d)Algorithm
VI From where does the basic structure of a decision tree start? 1
(a) Root (b) Branch (c) Leaves (d) Stem
Q3. Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)
I _______________ data is difficult to process for AI applications. 1
II Precision means when the model predict yes. (True/False) 1
III ______________ is defined as the percentage of correct predictions out of all the observations. 1
IV __________ is the process of dividing a block of sentence into individual sentences 1
V The resolution of most images we use is measured in 1
(a)RGB (b) Pixels (c) Grayscale (d) HSV
VI Which of these is not an application of computer vision 1
(a)Face unlock of users (b) Text Chatbot (c) Self-driving Cars (d) Google Lens
Q4. Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)
I Automatic categorization of news into different categories is an example of text 1
classification(True/False)
II What metric calculated as TP/(TP+FP)? 1
(a)Accuracy (b) Precision (c) Recall (d) F-score
III What do we call the process of dividing a string into component words? 1
(a)Regression (b) Word Tokenization (c) classification (d) Clustering
IV Through which of the following does machine learning understand data? 1
(a)Developer (b) Set of Codes (c) Ethics (d) Pattern
V If there are 10 correct predictions in a data set of 50 what is the accuracy? 1
(a)50% (b) 10% (c) 20% (d) 25%
VI Earlier, use of unstructured data required heavy computational power (True/False). 1
Q5. Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)
I What is the science of collecting data, analyzing it and interpreting it using data visualization 1
techniques?
(a) Qualitative analysis (b) Quantitative analysis
(c) Descriptive analysis (d) Inference analysis
II Which python packages are not used to for data science. 1
(a)Numpy (b) NTLK (3) Pandas (d) Matplotlib
III When for an AI Model ,Predicted and Actual Values are negative, it is known as 1
a) TN b) FP c) FN d) TP

IV The higher the value, the more important the word in the document –this is true of which model? 1
(a)Bag of Words (b) TF-IDF (c) YOLO (d) SSD
V Which library is used for extracting features from images? 1
(a) CV NET (b) OpenCV (c) New CV (d) Fresh CV
VI ____ refers to a system that is capable of predicting the future preference of a set of items for a 1
user, and recommending the top items.
(a)Targeted Advertising (b) Recommender System (c) Route Planner (d) Digital Advertising

SECTION B: SUBJECTIVE TYPE QUESTION

Answer any 3 out of the given 5 questions on Employability Skills
(2X3=6 marks)
Answer each question 20-30 words.
Q.6 Write the 7’C Effective Communication. 2
Q.7 What is stress? Why stress management is important? 2
Q.8 Write about the function of Operating System. 2
Q.9 State any two benefits of Entrepreneurship to society? 2
Q.10 Write about any two SDG goals. 2
Answer any 4 out of the given 6 questions in 20-30 words each (2X4=8 marks)
Q11 What are the different Applications of Artificial Intelligence? 2
Q12 What is the difference between Training Data & Testing Data? 2
Q13 What is Recall in AI? Write its Formula. 2
Q14 What is Sentence Segmentation in AI? 2
Q15 What is Computer Vision? 2
Q16 What is the purpose of Data Science in AI? 2
Answer any 3 out of the given 5 questions in 50-80 words each (4x3=12 marks)
Q17 Automated trade industry has developed an AI model which predicts the selling and purchasing of 4
automobiles. During testing, the AI model came up with the following predictions.
Confusion Matrix Reality yes Reality No
Predicted yes 60 25

Predicted No 5 10

(1) How many total tests have been performed in the above scenario?
(2) Calculate precision, recall and F1 Score.

Q18 Write the steps of Text normalisation? Explain. 4
Q19 What is 4Ws Problem Canvas? 4
Q20 Define the following terms 4
(a) Data Exploration
(b) Data Acquisition
(c) Supervised Learning
(d) Unsupervised learning
Q21 Aman is amazed to learn about his sister Rani who is multi-talented and has excelled in 4
academics, music, dancing and painting. He was quite curious when Rani 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 Aman in learning about
different types of intelligences by naming and explaining any four types of intelligences?

******************************************************************************

SUBJECT – ARTIFICIAL INTELLIGENCE (417)
MARKING SCHEME

QN.-1 ANSWER MARKS
I Bad Stress 1
II Microsoft Windows 1
III Statement 1 is correct but Statement 2 is incorrect. 1
IV Entrepreneur 1
V I hate to tell you this but your drawing skill is poor 1
VI Conservation 1
QN-2 ANSWER MARKS
I Computer Vision 1
II Machine Intelligence 1
III Natural Language Processing 1
IV Hidden Layer 1
V Problem Statement Template 1
VI Root 1
QN-3 ANSWER MARKS
I Unstructured 1
II TRUE 1
III Accuracy 1
IV Sentence Segmentation 1
V Pixels 1
VI Text Chatbot 1
QN-4 ANSWER MARKS
I TRUE 1
II Precision 1
III Word Tokenization 1
IV Pattern 1
V 20% 1
VI TRUE 1
QN-5 ANSWER MARKS
I Quantitative analysis 1
II NTLK 1
III TN 1

IV TF-IDF 1
V OpenCV 1
VI Recommender System 1

Answer 6:-

7 Cs of
Communication Explanation

Provide accurate, straightforward explanations and
Clear
definitions

Concise Get to the point quickly without being redundant or wordy

Concrete Use specific examples, numbers, and facts

Check for accurate information, proper spelling and
Correct
grammar

Courteous Use a polite and professional tone

Complete Provide all relevant details and context

Constructive Offer helpful suggestions and solutions

Answer 7:- Stress is our body and mind’s response and reaction to challenging
and taxing situations in our life. Stress management is important for all of us, for
benefits like:
1. Maintaining health
2. Improving mood
3. Boosting immune system
4. Improving productivity

Answer 8:-
1. Security
2. Control over System Performance
3. Job Accounting
4. Error Detecting Aids
5. Coordination between Users and Other Software
6. Memory Management
7. Process Management
8. Device Management

Answer 9:- Two benefits of Entrepreneurship to society :
1. Entrepreneurship Creates job: Entrepreneur is a job creator, not a job seeker
and helps many job seekers find jobs and thereby help the government,

economy and society.
2. Community /Society Development: Entrepreneur invest in community
projects and also provide financial support for social causes like education,
public health and so forth.

Answer 10:-
Any two SDG Goal with proper explanation.

Answer 11:- AI application:-
1. Google – We use Google to search the internet without realizing how
effectively it always provides us with precise responses. It not only
quickly returns the results of our search, but it also advises and corrects
the grammar of our written words.
2. Hey Siri – These days, we have personal assistants that respond to a
single command and perform numerous tasks. Several popular voice
assistants that are an integral component of our digital devices are Alexa,
Google Assistant, Cortana, and Siri.
3. FIFA Sports – AI has significantly improved the gaming experience.
Many modern video games are supported by artificial intelligence (AI),
which improves graphics, creates new challenges for players, etc.
4. Amazon – AI has taken care of our habits, likes, and dislikes in addition
to making our lives easier. Because of this, services like Netflix,
Amazon, Spotify, and YouTube, among others, display recommendations
based on our preferences.
5. Social Media – The recommendations, however, go beyond simply
reflecting our preferences; they also take into account our desire to
interact with friends via social media networks like Facebook and
Instagram. Additionally, they provide us personalized notifications about
our online buying information, construct playlists automatically based on
our demands, and more.
6. Chatbot – Our health is also being tracked by AI. There are many
chatbots and other health apps available that continuously track their
users’ physical and emotional wellbeing

Answer 12:- The datasets are divided into two groups in machine learning. The
first subset, referred to as the training data, is a section of our actual dataset that is
used to train a machine learning model. Second subset, referred to testing data,
once your machine learning model is built, you need unseen data to test your
model. This data is called testing data.

Answer 13- Recall is a rate of correct positive predictions to the overall number
of positive instances in the dataset.
The formula for calculating Recall :
Recall = TP / (TP + FN)
Answer 14:- . The challenge of breaking down a string of written language into
its individual sentences is known as sentence segmentation. The method used in
NLP to determine where sentences actually begin and end, or you can just say that
this is how we divide a text into sentences. Sentence segmentation is the process

in question. Using the spacy library, we implement this portion of NLP in Python

Answer 15:- The field of artificial intelligence known as CV describes a
machine’s capacity to gather and analyse visual data before making predictions
about it. Image acquisition, screening, analysis, identification, and information

extraction are all part of the process. Computers can comprehend any visual
content and respond appropriately thanks to this thorough processing.
Example of Computer Vision – Self-Driving cars/ Automatic Cars / Face Lock in
Smartphones.

Answer 16 – Data sciences is an area of AI that deals with data systems and
processes. In this area, a system gathers a lot of data, maintains data sets, and
extrapolates meaning from the data.
The information extracted through data science can be used to make a decision
about it.
Example of Data Science – Price Comparison Websites

Answer 17:-

Answer 18:-
The steps of Text normalisation are:
1. Sentence Segmentation: It is the process of dividing the whole text into smaller
Components, i.e., individual sentences
2. Tokenisation is the process of splitting up individual sentences into smaller
units called
Token.
3. Removing punctuation and stop words: In this step, the unnecessary tokens are
removed from the token list.
4. Stemming: In this step the remaining words are reduced to their root words
5. Converting text to a common case: Here the whole text is converted into a
similar case, preferably lower case.
6. Lemmatisation: It is the process of converting a word to its actual root form
linguistically.

Answer 19:-
Who, What, Where, and Why are the 4Ws of problem scoping. These Ws aid in
more accurate and effective problem identification and comprehension.
a. who : who is facing for problem who are the stakeholders of problem .
b. what: what is refer to a asking question .

c. where : where is refer to asking about the place where the person was going.
d. why: why is refer to a asking about the person like why are you asking question
.

Answer 20:- 1 Mark for Correct Explanation.
Answer 21:-

AglaSem Earn while Learn Program. Send your papers and get paid.
Contact: support@

Sample Papers

CBSE Sample Papers
ICSE / ISC Board Sample Papers
AP Board Sample Papers
Assam Board Sample Papers
Bihar Board Sample Papers
Chhattisgarh Board Sample Papers
Goa Board Sample Papers
Gujarat Board Sample Papers
Haryana Board Sample Papers
HP Board Sample Papers
J&K State Board Sample Papers
Jharkhand Board Sample Papers
Karnataka Board Sample Papers
Kerala Board Sample Papers

Sample Papers

MP Board Sample Papers
Maharashtra Board Sample Papers
Manipur Board Sample Papers
Mizoram Board Sample Papers
Orissa Board Sample Papers
Punjab Board Sample Papers
Rajasthan Board Sample Papers
Tamil Nadu Board Sample Papers
Telangana State Board Sample Papers
Tripura Board Sample Papers
UP Board Sample Papers
Uttarakhand Board Sample Papers
West Bengal Board Sample Papers