Class 11 Revision Test 2024-25 Question Paper AI

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n·. Marks allot1ed arc mentioned against each question/part.
i.S[Crto, 8-Sl'BJ[CTIVE TYPE QUESTIONS (26 MARKS)
i. This section contains 16 questions.
ii. A candidate has to do l Oquestions.
iii. Do as per instructions given.
iv. Marks allotted are mentioned against each question/part.

SECTION -A (OBJECTIVE TYPE QUESTIONS)
1. Answer any 4 questions out of the 6 questions: (1X4=4 marks)

I What is phonetics? 1

(a) It is the study of how we write words in English.

(b) It is the study of how people understand sentences.

(c) It is the study of how many words the English language has.

(d) It is the study of the sounds we make when we speak.

11. Ravi works hard to get the best student award at the end of the year. What type of motivation is 1
this?

/a) Internal (b) External

(c) Both internal and external (d) Not any specific type of motivation

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i. Wllich tyre of lc.aming is shown her e?

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h the following belong:
u. Identify and explain the AI domains to whic

A. Snapchat image filters w

B. Virtual assistants like Siri and Alexar~'

nising and prioritising tasks to maximise
111 . Which soft skill is crucial for efficiently orga
productivity and meet deadlines?

a) Linear Algebra i) Time management
c) Deep learning d) Shell scripting

y?
iv. What does the term "Data is the new oil" impl

a) Data is as valuable as oil.

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h) P1csrrip1iv c c) Probability /d; Prototype
a) rf"t'dKli\'C

(1X5=5 markJ)
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3. Ann ,tr any ~ qut~Cions out of the 6 qurstions
1
Asstrlion (A): The line of best fit minimizes
the sum of squared errors between the actual data
1.

points and the predicted values.
perfe ct relationship between the independent and
Reason (R): The line of best fit represents the
dependent variables.

Code:
is the correct explanation of
91 Both Assertion (A) and Reason (R) are true and Reason (R)
Assertion (A).
Reason (R) is not the correct explanation of
b) Both Assertion (A) and Reason (R) are true, but
Assertion (A).

c) Assertion (A) is true, but Reason (R) is false .

d) Assertion (A) is false, but Reason (R) is true.

K-Nearest Neighbors (KNN) algorithm? 1
ii. Which of the following is NOT an advantage of the
t.
a) KNN is simple to understand and easy to implemen
lazy learner .
b) KNN requires minimal training phase as it is a
computational overhead .
.i) KNN can handle large amounts of data efficiently without much
ssion tasks .
d) KNN can be used for both classification and regre

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on o Pattern recognition, self-teaming, and natural language
and analyse information in real-time.",~L
Identify the system.

iv. Write the Python statement to open a csv tile 'sales.csv' in read mode.

V.
What is a notable advantage of AI-based chatbots over rule-based chalbots?

a) They are easier to develop and maintain.

J) They struggle with understanding complex language.
c) They provide personalised interactions based on user preferences and hiStory.

d) They respond consistently and accurately to particular inquiries.

vi. Categories like "low," "medium, 11 and "high" refer to which type of data?

;i) Nominal Data b) Ordinal Data

c) Interval Data d) Ratio Data

4. Answer any 5 questions out of the 6 questions: (1X5=5 marks)

1. Name the two parts of a chatbot.1"- c-~o.oet1
1

A1

11. What type of data is best represented using a bar chart?

a) Continuous data b) Categorical data

c) Ordinal data d) Nominal data

iii. Which of the following is NOT a common task in NLP?

a) Machine translation b) Text summarization

c) Speech recognition A Image recognition
iv. "Python supports dynamic typing", rue or False. Justify your answer.

v. Which one among the following is known as individual brainstorming?

Ja. Brain dump b) Brainstorm c) Brain explore d) Brainwriting

i
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What is a key characterillic of I nile-h1NCI chttbo17
a) U1e1 N1l\1r1I lantllllt lf P1oce1111intt and Mat~hine. turning

b) W\nt1 \\ith e111ahliRhl'd mlr11 And dl'ci!lion tree11

c) Pnwidr.~ flersonali1.rd intetaction8 ba!lcd on u11er prefcrencelt

d) Pt\llle to biases in \raining d111a

ii. Data points that stand out from the rest of the dataset arc known u ---

1
iii . r,.,;an,e any 2 algorithms of unsupervised learning.

1
iv Which of the following statements about vdice Recognition Interfaces is true?

a) They solely rely on text-based inputs.

b) They are incapable of understanding multiple languages.

_p:Y They convert spoken language into text or commands.
d) They require a physical keyboard for interaction.

l
v What is the main goal of clustering in machine learning?

4' To label data points with predefined categories.
other
b) To divide a dataset into groups where items in the same group are more similar to each
than to those in other groups.

c) To reduce the dimensionality of the data.

d) To find associations between different variables in the dataset.

vi Which of the following is a characteristic of the Iris dataset?

(7It contains data for 200 samples of iris flowers.

b) Each sample has six features .

c) The samples belong to three species of iris flowers.

d) It is primarily used for regression tasks.

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10. What is meant hy 'Gr~n Economy' and 'Ci1ccn Touri!un' . 2

A■S11'N' an,• 4 quf'stions out of tht 6 qurstions in 20-30 words each: (2X4==8 mark.I)

t.I • Define Machine Leaming. List 2 applications of ML in our daily lives. 2

12. Name any 2 soft skills and 2 technical skills that you should have to pursue a career in AI. 2

13 . Define data. List the sources of secondary data. 2
I

14. Differentiate between linear regression and multiple linear regression. 2

f What is cognitive bias? Can bias be totally removed from an AI system? 2

. What is NLU? 2

Answer any 3 questions out of the 5 questions in 50-80 words each: (3X4=12 marks)

Explain the impact of pollution using 5WIH problem Canvas. 4

18. Consider the following scenario and answer the questions that follow: 4

In XYZ Corporation, a newly hired data scientist is struggling to understand the difference
between training, testing, and validating an AI model. The data scientist is also unsure about the
role of evaluation metrics in assessing model performance. As a senior mentor, you have been
asked to guide this new employee.

a) What is the difference between training, testing, and validating an AI model?

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effecliveneu?

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A#Wfl tht flillll\\if\ll qu~!'tionR ION pointt th1r111Jlh th, Mivrn Mttnario 4

A helldK'.are orp.ani 7.ahon hM imrle-mrntt'd an Al -powl'fNI di11~no~tic Inf~ to,~,, .. docton in
de(cding e-arly signs of a rare ~rn~1ic di~otd<.'t llle tool hA~ httn tr11ined on • large dat11,et of
patient ""-~Yds and g-c-nrtic mar~cn . lniti11ll v, the 11 y,1rm ~hnwt'd remarkthle accuracy in
dias;nosing the c.onditil,n, hdping doch\rt1 ma~ c timrly and critical dcci,ion, However, l!I more
dall was colle'l--ted, it became apparrnt 1ha1 the tool w8 11 lc,s accurate when d,agno,ing female
patients and people from undcm~prrscntrd ethn ic groups This discrepancy rai\Cd concern, among
he.althcare professionals. as these groups were receiving delayed diagno~s and, in 90me case,,
incorrect treatment. l 1pon investigation, it was found that the training data consisted
predominantly of male patients of European descent, leading to a model biased toward diag,no1ing
such individuals. The organization is now facing ethical and legal challenges, with growing calls
for a redesign of the system and for the inclusion of a more diverse set of patient data to ensure
fair treatment for all.

a) What are the key ethical concerns raised in this scenario?

b) How can AI developers ensure fairness in the diagnostic tool while maintaining its accuracy?

c) How does the lack of diversity in the training data contribute to biased outcomes in this Al
system?

d) What steps should the healthcare organization take to rectify the bias and improve the tool's
performance for all patient demographics?

2o. Explain briefly the various steps of Design Thinking. 4

. Explain any 4 pillars of AI Ethics. 4

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