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Pre-Board1 MS of Ai Class X

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0% found this document useful (0 votes)
92 views8 pages

Pre-Board1 MS of Ai Class X

Ms

Uploaded by

Atul Mishra
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
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ARMY PUBLIC SCHOOL, VARANASI CANTT

PRE-BOARD-1
ARTIFICIAL INTELLIGENCE (SUBJECT CODE - 417)
MARKING SCHEME FOR CLASS X (SESSION 2024-2025)
Max. Time: 2 Hours Max. Marks: 50
General Instructions:
1. Please read the instructions carefully.
2. This Question Paper consists of 19 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 (4 + 14 =) 18 questions, a candidate has to answer (4 + 12 =) 16 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 04 questions.
ii. There is no negative marking.
iii. Do as per the instructions given.
iv. Marks allotted are mentioned against each question/part.
7. SECTION B – SUBJECTIVE TYPE QUESTIONS (26 MARKS):
i. This section contains 14 questions.
ii. A candidate has to do 12 questions.
iii. Do as per the instructions given.
iv. Marks allotted are mentioned against each question/part.

SECTION A: OBJECTIVE TYPE QUESTIONS

Q.
QUESTION Marks
No.

Q. 1

i. Self-Motivation 1

ii. (c) Hover 1

(a) Both A and R are correct and R is the correct explanation of A


iii. 1

iv. (c) .txt 1

v. (c) Unlabelled 1

vi. (c) Affordable and clean energy 1


Q. 2
(a) Both A and R are correct and R is the
i. 1
correct explanation of A
ii. (b) Data Privacy 1
(b) Target Advertisements
iii. 1

iv. (c) iii and iv 1

v. ( c) csv 1

vi. Smart Bot 1


Q. 3

i.
(b) Both Statement1 and Statement2 are 1
incorrect
ii. Data Features/Data 1

iii. (c) Natural Language Processing 1

iv. (b) Object Detection 1

v. ( c) Pixel 1

vi. (b) Sentiment Analysis 1


Q. 4

i. (a) Data Science 1


( c) Bag of Words
ii. 1
SECTION B: SUBJECTIVE TYPE QUESTIONS
Marks
Q.
QUESTION
No.

Q. 6 1. Use simple language 2


2. Be respectful of others’ opinions
3. Do not form assumptions on culture, religion or geography
4. Try ` in person as much as possible
5. Use visuals
6. Take help of a translator to overcome differences in language
(2 marks for any two correct points from the
above)

Q. 7 1. The process of goal setting in your life helps you decide on how to live your 2
life, where you want to be, and how you want to be in the future.
2. It helps you to focus on the end result instead of less important work.
3. This will make you successful in your career and personal life.
(2 marks for any one valid justification given above or any relevant answer)

Q. 8 A Trojan Horse is a type of malware which 2


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.
(1 mark for acting like useful program and, 1 mark for the words
destroying/corrupting/deleting data)
or
(only ½ marks will be allotted if only malware/harmful program/virus/
term is mentioned)

Q. 9 Society is helping entrepreneurs by 2


1. Creating needs
2. Providing raw material
3. buying/selling of items
4. making money
(2 marks for any two valid points)
Q. 10 1. Use of fertilisers, pesticides,etc for increasing the production of 2
crops.
2. Cutting down of forests for personal use such as construction of buildings,
factories etc

(1 mark for each valid point, or any two relevant answers other than the above)

Q. 11 1. To provide customized notifications and recommendations. 2


2. To improve the efficiency and accuracy of the app.

(2 marks for any one correct point with explanation)

Q. 12 Clustering model/Unsupervised learning is used to organize the unlabeled input 2


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.
(1 mark for identifying the name of the algorithm and 1 mark for
explanation)

Q. 13 While accessing data from any of the data sources, following points should 2
be kept in mind:
1. Data which is available for public usage only should be taken up.
2. Personal datasets should only be used with the consent of the owner.
3. One should never breach someone’s privacy
to collect data.
4. Data should only be taken from reliable sources as the data collected from
random sources can be wrong or unusable.
5. Reliable sources of data ensure the authenticity of data which helps in
the proper training of the AI model.
6. Data should be relevant to the problem.

(any two; 1 mark for each valid point)


Q. 14 Resolution of an image refers to the number of pixels in an image, across the 2
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.

(1 mark for explanation; 1 mark for example)

Q. 15 Stopwords in the given sentence which should not be removed are: 2


@, . (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.

(1 mark for identifying any two stop words from the above, and 1 mark for the
valid justification.)

Q. 16 a. Smart bots are flexible and versatile chatbots. These are AI enabled 2
chatbots that easily understand the intent and context .these require
advanced AI based programming.

Script bots are task specific chatbots .these are rule based chatbots.these
require simple or very less programming.

Q. 17 When a machine possesses the ability to mimic human traits, i.e., make 4
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.
(2 marks for definition of Artificial intelligence which includes any of the
highlighted terms, 2 mark for an example explanation of how machines
become intelligent)
or
(only 1 mark for any AI machine example which mimic human traits without
explanation)

Q. 18 The 4Ws Problem canvas helps in identifying the key elements related to the 4
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

Problem Statement Template

Our [stakeholders] Who

Have a problem [need] What


that

When/while [context/ Where


location/
situation]

An ideal solution [solution] Why


would be

(½ mark each for explanation of 4w s; 2 marks for drawing the problem


statement template with correct words in it or explaining the problem
statement template)
or
(1 mark to be allotted if only 4Ws are written without explanation)
Q. 19 Yes, we might face any challenges if we try to teach computers how to 4
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.

(1 mark for Yes and 1 mark each for the points on possible difficulties)

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