Class 10 Question Paper 2023-24 AI (Half Yearly)

2023-24
HALF YEARLY
EXAM
NCERT BASED
SYLLABUS
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FOR
CBSE BOARD
AND
STATE BOARDS

Half Yearly Exam 2023-24
Question Paper

Class - X Subject – Artificial Intelligence
Time – 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):
i. This section has 05 questions.
ii. Marks allotted are mentioned against each question/part.
iii. There is no negative marking.
iv. Do as per the instructions given.
7. SECTION B – SUBJECTIVE TYPE QUESTIONS (26 MARKS):
i. This section has 16 questions.
ii. A candidate has to do 10 questions.
iii. Do as per the instructions given.
iv. 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 (1 x 4 = 4
marks)

i. 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

ii. ___________________refers to focusing human efforts for maintaining a 1
healthy body and mind capable of better withstanding stressful situations
a) Mental Health

b) Emotional Health
c) Self-Management
d) Stress Management

1

iii. What is the term for software that can control the flow of traffic between a 1
computer and network based on specified rules?

iv. Stress management is vital because it leads to following benefits: 1
a) Improves mood
b) Boosts immune system
c) Promotes longevity
d) All of the above

v. ____________are the small files that get stored on a computer while 1
surfing the internet and help websites identify a user.

vi. Which of the following is a type of Program File Virus? 1
a) Disk Killer
b) Dark Avenger
c) Mylife
d) Disk Cleaner

Q. 2 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)

i. 1
Two popular examples of pocket assistants are
………......... and ………………… .

ii. Data about the houses such as square footage, number of rooms, features, 1
whether a house has a garden or not, and the prices of these houses, i.e., the
corresponding labels are fed into an AI machine. By leveraging data coming
from thousands of houses, their features and prices, we can now train the
model to predict a new house’s price. This is an example of
a) Reinforcement learning
b) Supervised learning
c) Unsupervised learning
d) None of the above

iii. Give 2 examples of Supervised Learning models. 1
a) Classification and Regression
b) Clustering and Dimensionality Reduction
c) Rule Based and Learning Based
d) Classification and Clustering

iv. This is a fact that all human beings have all nine types of intelligences, 1
but at different levels. Name any two such intelligences.

2

v. Identify the incorrect statements from the following: 1
(i) AI models can be broadly categorized into four domains.
(ii) Data sciences is one of the domain of AI model.
(iii) Price comparison websites are examples of data science.
(iv) The information extracted through data science can be used
to make decision about it.
a) Only(iv
b) (iii) and (iv)
c) Only (i)
d) (ii) and (iii)

vi. Which of the following is defined as the measure of balance 1
between precision and recall?
a) Accuracy
b) F1 Score
c) Reliability
d) Punctuality

Q. 3 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)

i. Name any 2 methods of collecting data. 1
a) Surveys and Interviews
b) Rumors and Myths
c) AI models and applications
d) Imagination and thoughts

ii. a. Understand and inspect the web page to find the HTML markers 1
associated with the information we want.
b. Use Python libraries to pull out data from the HTML page.
c. Manipulate the collected data to get it in the form we need. The above
given steps are for collecting data from which of the following data
sources?
a) Cameras
b) Sensors
c) Surveys
d) Web scraping

iii. ____________ model makes predictions based on continuous data 1

iv. In _______________ algorithms are trained on unlabelled data set. 1

v. Which of the following is not a category of a data set in the AI Project Cycle? 1
a) Training data

b) Learning data
c) Quantitative data
d) None of these

3

vi. The full form of API is _________________________. 1

Q. 4 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)

i. What is data processing in NLP? 1

ii. The formula for TF-IDF is __________________________ . 1

iii. Which of the following is the 2nd step of BoW algorithm? 1
a) Gather data
b) Design the vocabulary
c) Create document vectors
d) Create document frequency table

iv. Select the correct features of Smart Bot: 1
a) Smart-bots are flexible and powerful
b) Coding is required to take this up on board
c) Smart bots work on bigger databases and other resources directly
d) All of the above

v. Data science is an AI domain that is used to analyse and understand human 1
languages. [ True/False]

vi. Google Translate is Google's free service that instantly translates words, 1
phrases, and web pages between English and over 100 other languages.
Google translate uses -----
a) 4w problem canvas
b) Neural Networks
c) KWLH chart
d) System maps

Q. 5 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)

i. While evaluating a model's performance, recall parameter considers 1
a) False Positive
b) True Positive
c) False Negative
d) True Negative
Choose the correct option:
a) only (i)
b) (ii) and (iii)
c) (iii) and (iv)

d) (i) and (iv)

4

ii. ____________is defined as the percentage of correct predictions out of all 1
the observations.
a) Predictions
b) Accuracy
c) Reality
d) d) F1 Score

iii. What will be the outcome, if the Prediction is “Yes” and it matches with the 1
Reality? What will be the outcome, if the Prediction is “Yes” and it does not
match the Reality?
a) True Positive, True Negative
b) True Negative, False Negative
c) True Negative, False Positive
d) True Positive, False Positive

iv. 4Ws Problem Canvas is a part of: 1
a) Problem Scoping
b) Data Acquisition
c) Modelling

v. An AI system uses two broad classes of data namely content data which 1
includes the raw video streams title, description, etc, and user activity data
that includes rating a video, favoriting/liking a video, or subscribing to an
uploader, and watch time. Based on this, the AI system measures a user’s
engagement and happiness. It then starts computing personalized
recommendations to the user. Which of the following applications can you
relate to this?
a) self-driving car
b) Siri
c) email filters
d) d) YouTube

vi. When the prediction matches the reality, the condition is termed as 1
…………………… .

SECTION B: SUBJECTIVE TYPE QUESTIONS

Answer any 3 out of the given 5 questions on Employability Skills (2 x 3 = 6 marks)
Answer each question in 20 – 30 words.
Q. 6 What are the various casual agents of stress in young adults? 2

Q. 7 What is motivation? List any four benefits of keeping oneself motivated. 2

Q. 8 State any four functions of a computer operating system. 2

5

Q. 9 Mohana has to finish her project work urgently, for which she needs her 2
computer to work properly. However, her computer’s speed has gone
down significantly in the last few days. What are the some of the measures
she can take on her own before seeking help?

Q. 10 Explain the following with example: 2
1. Language processor which is a kind of system software.
2. Utility Software

Answer any 4 out of the given 6 questions in 20 – 30 words each (2 x 4 = 8 marks)
Q. 11 What is a confusion matrix? What is it used for? 2

Q. 12 Explain in detail about Rule based and Learning based approach of AI 2
modeling.

Q. 13 What is data science and computer vision? Give at least two examples for 2
each.

Q.14 With reference to data processing, expand the term TFIDF. Also give any 2
two applications TFIDE.

Q. 15 Write down the steps to implement bag of words algorithm. 2

Q. 16 What is 4Ws problem canvas? 2

Answer any 3 out of the given 5 questions in 50– 80 words each (4 x 3 = 12 marks)
Q. 17 Write a short note on ethical challenges raised by the increasing use of 4
artificial intelligence technology.

Q. 18 What is an artificial neural network? Explain different layers of a typical 4
neural network.

Q. 19 Through a step-by-step process:- 4
1. Create document vectors for the given documents
2. Record the occurrence of word in the document using term frequency
table
Document 1: Johny Johny, Yes Papa,
Document 2: Eating sugar? No Papa
Document 3: Telling lies? No Papa
Document 4: Open your mouth, Ha! Ha! Ha!

Q.20 What is significance of AI project cycle? Also explain detail about how 4

Data Acquisition is different from data exploration.

6

4

Q. 21 Traffic Jams have become a common part of our lives nowadays.
Living in an urban area means you have to face traffic each and
every time you get out on the road. Mostly, school students opt for
buses to go to school. Many times, the bus gets late due to such
jams and the students are not able to reach their school on time.

Imagine that you have come up with an AI based prediction
model which has been deployed on the roads to check traffic jams.
Now, the objective of the model is to predict whether there will be
a traffic jam or not. Now, to understand the efficiency of this
model, we need to check if the predictions which it makes are
correct or not. Thus, there exist two conditions which we need to
ponder upon: Prediction and Reality.

Considering all the possible situations make a Confusion Matrix
for the above situation.

7

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