VELAMMAL VIDYALAYA - ALAPAKKAM
Board Model Test - 2025
SECTION A: OBJECTIVE TYPE QUESTIONS
1 Answer any 4 out of the given 6 questions on Employability Skills (1 x 4 = 4 marks)
i. (i) There was a young boy who was fond of playing football and wanted to 1
become a football player. He joined a football academy and came regularly
to practice but never made it to the team. For four days, the boy didn’t
show up for practice. The matches had begun and his team was playing
the finals. He showed up for the finals. He went up to the coach and
pleaded him to let him play for the match. The coach had never seen the
boy plead like this before. The Game started and the boy played like a ball
on fire. Every time he got the ball, he shot a goal. Needless to say, he was
the star of the game and his team won. What type of motivation did the boy
demonstrate?
(a) External
(b) Internal
(c) Both internal and external
(d) Not any specific type of motivation
ii. (ii) Statement 1: A realistic goal is one that has no timeline or plans for 1
execution.
Statement 2: Breaking down big goals into smaller parts will make the goal
achievable.
(a) Both Statement I and Statement II are correct
(b) Both Statement I and Statement Il are incorrect
(c) Statement I is correct but Statement II is incorrect
(d) Statement I is incorrect but Statement II is correct
iii. (iii) Here are the steps that take place when starting a computer. 1
Rearrange the steps in the
correct order.
I) Desktop appears after login
II) Login screen appears
III) Power on Self-Test (POST) starts
IV) Operating system starts
V) Welcome screen appears
(a) I) → II) → III) → IV) → V)
(b) II) → IV) → III) → V) → I)
(c) III) → IV) → V) → II) → I)
(d) III) → V) → IV) → II) → I)
iv. Statement 1: Stress refers to a physical, mental or emotional strain or 1
tension. (1)
Statement 2: Stress can be positive if taken in the right sense and may
result in effective outcomes.
(i) Both Statement 1 and Statement 2 are correct.
(ii) Both Statement 1 and Statement 2 are incorrect.
(iii) Statement 1 is correct but Statement 2 is incorrect.
(iv) Statement 1 is incorrect but Statement 2 is correct
v. Which of the following is NOT a threat to the computer system. 1
a) Theft b) Virus c) Hacking d) Watching Movies
vi. “How do AI supported solutions help in achieving sustainable 1
development?
a) They would assist the society to focus on these goals.
b) They would assist the government.
c) Both a and b
d) None of these
2 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)
i. Data is the core of any ML/AI algorithm. The number of students in a class 1
or total students appearing in an exam is an example of ____________.
a) Nominal data b) Discrete data c) Continuous data d) Ordinal data
ii. Image filtering changes the range (ie. The pixel value) of an image, so the 1
colours of the image are altered without changing the pixel positions, while
image warping changes the domain (ie. The pixel position) of an image,
where points are mapped to other points without changing the colours.
Basically, it alters the pixels of the image to transform it into desired form
using different types of graphical editing methods through a graphic design
and editing software. This image filtering process is followed in:
a) Sensing b) Neural translating machine
c) Face recognition d) Data collection
iii. Which of the following is an example of AI bias in an AI system? 1
a) Facial recognition systems performing well for individuals of all skin
tones. b) Image recognition systems associating images of kitchens,
shops, and laundry with women rather than men.
c) Customers not being aware that they are interacting with a chatbot on a
company website.
d) AI systems in call centres providing context sensitive assistance to staff.
iv. What is the term Frequency? 1
v. Data about people such as the height, weight, Blood pressure, Sugar 1
levels, health and other factors i.e. the corresponding labels are fed into
the AI machine. By data coming from various sources of people regarding
their height, weight etc, we now train the AI model to predict the age of the
person. This is an example of:
a) Reinforcement Learning b) Supervised Learning
c) Unsupervised Learning d) None of the above
vi. On an average the current boarding system wastes about 4 mins per 1
boarding and about Rs 35000/day across all flights. The boarding
protocols make the company less competitive and so unfavourable brand
image. Using a modified boarding pattern, the passengers can board from
sides rather than from front to back This will eliminate 4mins of wastage.
To solve this problem choose the ideal problem statement template
a)The passengers should opt for different airlines
b) The current boarding wastes time waiting at the airport so the
passengers should board the plane before the crew.
c)The boarding of the passengers should be done from the sides rather
than front to back.
d) Ideal solution will be to sell the airlines.
3 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)
i. Assertion: Data visualization is a very important aspect of the AI Project 1
cycle. Reason: As Visualization makes the data look very colorful.
a) Assertion and Reason both are True
b) Assertion is True but Reason is False
c) Assertion and Reason both are False
d) Assertion is False but Reason is True
ii. Name the First chat bot 1
a) ALICE b) PARRY c) ELIZA d) ECHO
i. Human store and recall information by patterns.
iii. ii. Machine do it by searching Algorithm 1
a) only i is true b) both i and ii is true c) both i and ii is false d) only ii is
true
iv. Which of the following W of 4Ws canvas problem helps in analyzing the 1
affected people directly or indirectly?
a) Who b) What c) Where d) Why
v. Which of the following not an approach considered for modelling? 1
a) rule-based approach b) learning-based approach
c) knowledge-based approach d) All of these
vi. Which of the following is not a method to collect data? 1
a) Surveys b) Web Scrapping c) Sensors d) Archives
4 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)
i. In data acquisition the data which is provided as input is called 1
__________. a) Training Data b) Testing Data c) Feedback data
d) None
ii. Give an example of a sentence which is syntactically correct but 1
semantically wrong.
iii. The intention of Machine Learning is 1
a) recognize human’s face
b) think through the algorithm and execute the task
c) enable machines to learn by themselves using provided data
d) None.
iv. The ability of religious and spiritual awareness is related to which of the 1
following intelligence?
a) naturalist intelligence b) interpersonal intelligence
c) existential intelligence d) kinaesthetic intelligence
v. The ability related to communicate with others by understanding other 1
people’s feelings & influence of the person is known as
a) naturalist intelligence b) interpersonal intelligence
c) existential intelligence d) kinaesthetic intelligence
vi. _______, ___________ and __________ are three types of ML 1
a) Weak , general and strong b) AI, ML,DL
c) Supervised, Unsupervised and Reinforcement Learning
5 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)
i. All the devices which are termed as “smart” are AI-enabled. (T/F) 1
ii. The term Sentence Segmentation is 1
a) the whole corpus is divided into sentences
b) to undergo several steps to normalise the text to a lower level
c) in which each sentence is then further divided into tokens
d) the process in which the affixes of words are removed
iii. Differentiate between Prediction and Reality. 1
a) Prediction is the input given to the machine to receive the expected
result of the reality.
b) Prediction is the output given to match the reality.
c) The prediction is the output which is given by the machine and the
reality is the real scenario in which the prediction has been made.
d) Prediction and reality both can be used interchangeably.
iv. ____________is defined as the percentage of correct predictions out of all 1
the observations.
a) Predictions b) Accuracy c) Reality d) F1 Score
v. Recall-Evaluation method is 1
a) defined as the fraction of positive cases that are correctly identified.
b) defined as the percentage of true positive cases versus all the cases
where the prediction is true.
c) defined as the percentage of correct predictions out of all the
observations. d) comparison between the prediction and reality
vi. In a medical diagnostic test for a specific disease, the model's predictions 1
are either "Positive" (Yes, the patient has the disease) or "Negative" (No,
the patient does not have the disease).
1. What is the outcome if the prediction is “Positive” and it matches
the reality (i.e., the patient actually has the disease)?
2. What is the outcome if the prediction is “Positive” but it does not
match the reality (i.e., the patient does not have the disease)?
a) True Positive, True Negative
b) True Negative, False Negative
c) True Negative, False Positive
d) True Positive, False Positive
Short Answer: (Any 3)
6. List any four barriers that affect effective communication.
7. What are the major problems related to sustainable development?
8. List two qualities of successful Entrepreneurs.
9. What Trojan horses? List the steps involved in preventing your device from virus
10.How might stress manifest in individuals and what underlying factors contribute
to these symptoms?
Short Answer: (Any 4)
11. Raman is the CEO of a banking company. His company uses data science to
analyse the probabilities of risk and default. Identify and explain the application
of Data Science used in Raman’s company.
12.Sanya wants to build a model that can automatically summarize long articles
into short, meaningful paragraphs. Which domain should she use and why?
13. How can we use Data Science to make smart financial decisions?
14.In model predicting win or lose for a game what is true negative and false
negative?
15.What is meant by a dictionary in NLP? Define the term sentiment analysis.
16.If a machine learning model results in unfair outcomes in specific situations,
such as denying loans to qualified applicants based solely on their race or
gender, what does this refer to?
Long Answer: (Any 3)
17. While teaching computers to understand and interact in human languages,
several challenges arise. What are these?
18.Jack wants to learn how to acquire data for an AI Project.
a) Explain to him the various ways to collect the data.
b) Differentiate between test data and training data
19.Identify and explain the types of the learning-based approaches.
20.Implement bag of words algorithm and create Document Vector Table for the
following three documents:
Document 1: Priya and Ridhi are sisters.
Document 2: Priya likes coffee and Ridhi likes tea.
Document 3. Priya likes pizza and Ridhi likes burger:
21.The country was shaken up by a series of earthquakes which has done a huge
damage to the people as well as the infrastructure. To address this issue, an AI
model has been created which can predict if there is a chance of an earthquake
or not. The confusion matrix for the same is as below:
a) How many total tests have been performed in the above scenario.
b) Calculate precision, recall and F1 score.
