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PRE-BOARD 1 (2024-25)
GRAD E-X
SUBJE CT-AR TIFICI AL INTELLIGENCE (417)
SET-B
~~ -~ Date : 5th December ,2024
[ . Time Allowed: 2 Hour Maximum l\11arks: 50

General Instructions:

1. Please read the instructions carefully.

2. This Question Paper consists of21 questions in two sections: Section A & Section B.
.
3. Section A has Objective type questions whereas Section B contains Subjective type questions
in the
4. Out of the given (5 + 16 =) 21 questions, a candidate has to answer (5 + 10 =) 15 questions
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):
a. This section bas 05 questions.
b. Marks allotted are mentioned against ·each question/part.
c. There is no negative marking. •
d. Do as per the instructio ns given.
7. SECTIO N B - SUBJECTIVE TYPE QUESTIONS (26 MARKS):
a. This section has 16 questions.
b. A candidate has to do 10 questions.
c. Do as per the instructions given.
d. 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. Match the following 1

I .
Column A: Barriers

I. Language
Column B: Examples

A. Trying to read a book when somebody else is watching TV in the

same room.
2. E1notional B. In some cultures, wearing shoes and walking inside the kitchen is
considered rude and disrespectful.
3. Environmental C. Talking in Hindi when others know only Tamil.
4. Cultural D. Parent is not talking to the child.
a) 1 -> D; 2 -> A; 3 -> C; 4 -> B
, b) I -> C· 2 -> D • 3 -> A· 4 -> B
' ' '
c) 1 -> C • 2 -> D • 3 -> B • 4 -> A
' ' '

Page 1 of 5 I Artificial Intellige nce I PBl I Grade X

 d) 1 -> C; 2 -> A; 3 -> D; 4 -> B

ii. Monika is takin$ her board exams. Despite her thorough preparation, she is concerned about
the types of questions she will face in the exams. List the methods she should adopt to avoid 1
study - related stress.
1 By doing the study more systematically and effectively.
11 She should take help of her teachers study materials.
iii She sh?uld divide ~he syllabus in modules theD: prepare.
1v By takmg good healthy diet and adequate sleep.

a) i and iv b) ii &iii c) i,ii,iv ·d) i,ii,iii,iv

iii. When cleaning a component and/or the computer, what should you do before you clean it?
a) Turn the computer on, then clean it 1
b) Leave the computer running while you are cleaning
c) Leave it in standby mode
., d) Turn it off from the power switch
!v. Which of the following social problems are tackled by social entrepreneurs?
1
a) Low reach of quality education b), Unemployment
c) only b d) both a& b
+v. There was a young boy who was fond of playing football and wanted to become a football 1
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 fmals. 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
..\ vi. Which of the following are the long - term solutions for SDG 1
a) Launching awareness and responsibility campaign for different grades of people
b) Protection of ecology by imposing high taxes and fines
c) More emphasis should be on sustainable developµient agriculture
d) All of these

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

.
I. !Assertion (A): Data science is considered not the key domain out of three domains of Al . 1
Reason (R): Computer vision refers to that domain of AI which enables a machine to analyze
constant feed of huge amount of visual data. .
a) Both A and Rare true and R is the correct explanation ~f A. t

b) Both A and R are true but R is not the correct explanation of A.

c) A is true but R is false.
1
d) A is false but R is true.
ii. Which of the following is not an application of Al? 1
'a) Content mining b) Google c) Virtual assistants d) Google maps .
ilii Statement 1: The evaluation stage is to evaluate whether the ML algorithm is able to predict 1
iwith high accuracy or not before deployment. . . .
Statement 2: Recall directly tells us the model's ability to randomly identify an observation
hat belongs to the positive class. .
a) Statement 1 is incorrect but statement 2 1s correct.
Page 2 of 5 I Artificial Intelligence I PBl I Grade X
 b) Both the statements are correct.
c) Both the statements are incorrect.
d) Statement 1 is correct but statement 2 is incorrect.
'iv.
IA is a matrix, ~hich is slides across the image and multiplied with the input in such 1
a manner that the output 1s enhanced in a certain desirable manner.
v. Which type of information is given by the Bag of W~rds algorithm?
.a) Type of words 1
, b) Number of words
c) None of these
d) Number of stopwords
.
Vl.
If model will simply remember the whole training set, and will therefore always predict the 1
corr~ct label for any point in the training set. This is known as .
a) Overfitting b) Overriding c) underfitting d)Underriddng
.
Q. 3 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)
1. What networks are loosely modeled after how neurons in the human brain behave? 1
a) Rule - based b) supervised "c) Neural d) Unsupervised
11. is the fraction of positive cases that are correctly identified. 1
... ,
111. Which of the following talks about how true the predictions are by any model? /· 1
/
,. a) Accuracy b) F1 score c) Reliability d) Recall /
/
r

iv-"' Which is not a type of Artificial Intelligence? / 1

a)ASI b)AGI c)ANI d)ATI
v. What are the 6ther names of Fl - score? 1
Vl. The predicted value matches the actual value. When the actual value was negative, and the 1
model predicted a negative value, then it is:
I

a)-TN b)TP c) FP d)FN

Q. 4 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)
1. Name the process of dividing whole corpus int?__s_e_n_te__n_ce_s_.___________ ___1------1
11. Statement 1: The other name given for False Negative is Type 1 error 1
Statement 2: The other name given for False Positive is Type 2 error
/ a) Both the statements are incorrect
b) Statement 1 is incorrect but statement 2 is correct
c) Statement 1 is correct but statement 2 is incorrect.
d) Both the statements are correct.
111. Statement 1: Bag of Words is a CV model which helps in extracting features out of the text 1
that is helpful in machine learning algorithms.
Statement 2: The morphological analysis of the words with the help of detailed dictionaries is
called Stemming.
1a) Statement 1 is correct but statement 2 is incorrect.
"b) Both the statements are incorrect.
c) Statement 1 is incorrect but statement 2 is correct.
•d) Both the statements are correct.
IV. rwhat is NumPy? 1
V. rwhat is the term used for the hardware, software, and processes that allow computers to see 1
and understand the phy,sical world?_
• I
.
a) NLP b) Semantic analysis c) Data d) CV
Vl. Once you have got an AI model that's ready for production, AI engineers then __ a trained
model, 1naking it available for external inference requests.
(a) Evaluate (b) Test tc ) Deploy (d) Redesign

Page 3 of 5 I Artificial Intelligence I PBl I Grade X

 I I

l Q. 5
.
Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)
\ I.
•
F1 Score is the harmonic mean of: 1--
I a) Recall and Accuracy
. .b) Recall and Precision
.
c) Accuracy and Precision
d) Recall and perfection
ii. 'i. Give an example of false negative ·case.
... 1
Ill. refers to the field ~f study which combines programming skills, domain
1
-
expertise, and knowlegge of mathematics and statistics to get meaningful insight
s from
ldata.
-..
~

( a) NLP b) Data mining •c) Computer Vision d) Data Science

I •
IV.
I •
It refers to the unsupervised learning algorithm which can cluster the unknown 1
I •
data
i according to the patterns or trends identified out of it:
.!
a) Classification b) Regression c) Clustering d) Dimensionality reduction
·1 v. !Which system of Programs and Data - Structures is identified to mimic the operati
on of the • 1
;

human brain?
"'a) Neural Network b) Intelligent Network
c) Genetic Programming
.
VI.
d) Decision Support Network
!Which of the following words are stopwords?
1
'a) All of these b) A, an, the c) For, arid, it d) There, in, such

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. ·
Give one example each of following stress causal agents for students:
Q. 6
1. Mental 2. Social 2

Q. 7 How will you ensure the proper working of the hardware components of a compu
ter? 2
Q.8 What are the different phases a person goes through to become an entrepreneur?
2
Q.9 What will happen when a message is not understood clearly by the receiver?
2
Q.10 Why there is a need for sustainable development? Give reasons.
2

Answer any 4 out of the given 6 questions in 20-30 words each (2 x 4 =

8 marks)
Q.11 !Why is it necessary that training data should not be biased for Deep Learning (DL)? 2
Q.12 What is the main drawback of the Rule - based Approach of AI Modelling? Explain
. 2
Q.13 !After the stop words removal, the whole text is converted into a similar case,
,. preferably 2
l
lowercase. Why?
Q.14 How is Evaluation associated with the reliability of an AI Model? ..,
M

Q.15 What is meant by resolution with _reference to CV?

. . . 2
Q.16 Explain data science applications in targeted advertising. 2
Answer any 3 out of ihe given 5 questions ln 50- 80 words each (4 x 3 = 12 marks
)

Page 4 of 51 Artificial lntelll 1ence I PBl I Grade X

 . . .
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mor
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Q.18 ~sks w su ch cases, cyber securi
ty
e od d behavior patterns,
ar e u se d. In to reco g niz
ecbnolog1es o f fire walls. It won't be
able
e _c on ~ ol
onger under th ration. r
·ncluding data mig o u s am ou nt s o fl og data to fmd use
enonn the \
0 nsider how AI system
s can go through op e, th e m et ho d o f data collection,
r ~xplicitly defmro e the sc
v u ln er ~ b le . ~ o ject cycle.
;ehavior that isevaluation cntena, use an AI p /

model, and the la in in de ta il about how Data 4

lso ex p
I project cycl~?nA
~ ig ~ fi ca n ce o f A o .
What is the ~ different from data explorati
~cquisition 1s n corpus
4
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g h a st ep -b y -s te p process, calcula
te T F ID F fo r th e gi ve
20 Throu I: Jo h ny Johny, Yes Pap
a,
D o cu m en t
Q. g su gar? ~ o Papa
en t 2: E at in
Docum
ng lies? No Papa
Document 3: Telli m o uth, Ha! Ha! Ha!
O p en y o u r . 4
Document 4: g ca ~e . .
si o n , an d A cc u racy for the followin g _c on fus1~n matnx..
Rec a ll, P re ci got th e fo 11 ow m
Q. 21 f"""a1cu1ate h fo r th e Z eta virus, scientists £ Howing confusion matnx on
;: medical re sh rc racy io.c. r the o
l P re c1 •s1•on, and accu 8"
r'u~ai 1CUlate Reca ' <>·q h, ,- I., ' '
i)' "f \

coronavrrus:
-

Reality: Reality:
Zeta
Confusion Matrix on True False
virus
I Prediction: Positive
200 10
15
25
Prediction: Negative