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Question Bank 7

This document is a practice examination for Class X students at Bharatiya Vidyabhavan’s Atmakuri Rama Rao School, focusing on Artificial Intelligence. It includes 21 questions divided into objective and subjective sections, with specific instructions on how many questions to answer from each section. The exam covers various topics related to AI, including employability skills, machine learning, data privacy, and sustainable development.

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Keerth KADEL V
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0% found this document useful (0 votes)
33 views7 pages

Question Bank 7

This document is a practice examination for Class X students at Bharatiya Vidyabhavan’s Atmakuri Rama Rao School, focusing on Artificial Intelligence. It includes 21 questions divided into objective and subjective sections, with specific instructions on how many questions to answer from each section. The exam covers various topics related to AI, including employability skills, machine learning, data privacy, and sustainable development.

Uploaded by

Keerth KADEL V
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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BHARATIYA VIDYABHAVAN’S ATMAKURI RAMA RAO SCHOOL

ROAD NO: 45(END), JUBILEE HILLS, HYDERABAD-500033


Practice Examination - 2023-24
CLASS: X Set-1 DATE: 12.01.2024
SUBJECT: Artificial Intelligence (417) Marks: 50
Time : 2 Hr
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


1. Answer any 4 out of the given 6 questions on Employability Skills (1 x 4 = 4 marks)
i. Pranjali gets up at 5 am and goes to her badminton classes. Then she comes home
and finishes her homework before going to school. She does this all by herself. No one
tells her to do it. This is an example of.
a. Self-motivation
b. External motivation
c. Both self and external motivation
d. Not any specific type of motivation
ii. Which of the following can cause stress?
a. Yoga and meditation
b. Driving during rush hour
c. Organized academic life
d. Enjoying holidays with family
iii. What is the term used when you quickly click the left mouse button twice?
a. Hover
b. Drag and drop
c. Double clicking
d. Moving
iv. Ravi learnt that if a laptop gets overheated, the internal parts get damaged. What
happens if he leaves his device plugged in even after it is charged 100%?
a. It can break
b. It can stop functioning
c. It can overheat
d. Data can get corrupt
v. Srishti is a young woman who makes earrings. She buys jute from a farmer and makes
earrings from that. She sees that most women in her village do not work. So, she hires
two women to help her. As her orders increase, she hires three more women to work
for her. How was she helping her village grow?
a. By selling earrings to women without a job
b. By purchasing earrings from the local market
c. By buying jute from the local farmer and by providing jobs to local women
d. By attracting the women in her village with her creative earrings
vi. Mary has two people who work for her. Every day, she spends one hour with them to
learn about what they’ve done that day.
a. Creates a new product
b. Divides income
c. Manages the business
d. Takes risks
2. Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)
i. Identify the incorrect statement(s) from the following:
(i) Deep learning is a subset of Machine Learning
(ii) Machine Learning is a subset of Deep Learning
(iii) Artificial Intelligence is a subset of Deep Learning
(iv) Deep Learning is the advanced form of AI and ML
a. only (i)
b. (ii) and (iii)
c. (i) and (ii)
d. Only (iii)
ii. Search engines not only predict what popular searches may apply to your query as you
start typing, but it looks at the whole picture and recognizes what you’re trying to say
rather than the exact search words. This is an example of
a. Computer Vision
b. Data Sciences
c. Natural Language Processing
d. Natural Language Understanding

iii. When a user installs an app in the smartphone, it asks for access to gallery, contacts, etc.
After accepting this, it gives the user agreement which most users accept without
realizing the implications. What is the concern here?
a. Data Privacy
b. Unemployment
c. AI bias
d. No concern
iv. We can’t make “good” decisions without information.
a. True
b. False
v. An application lets you search what you see, get things done faster and understand the
world around you – using just your camera or a photo. Which domain does this app
belong to?
a. Natural Language Processing
b. Data Sciences
c. Computer Vision
d. Artificial Language Processing
vi. 2.37 billion people are without food or unable to eat a healthy balanced diet on a
regular basis. Which Sustainable Development Goal are we talking about?
a. No Poverty
b. Zero hunger
c. Good health and well-being
d. Decent work and economic growth
3. Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)

i. Divya was learning neural networks. She understood that there were three layers in a
neural network. Help her identify the layer that does processing in the neural network.
a. Output layer
b. Hidden layer
c. Input layer
d. Data layer

ii. Smita is working on a project that involves over a lakh of records. Which of the
following should she use to make the best project?
a. Traditional programming
b. Manual processing
c. IoT
d. Neural networks
iii. For better efficiency of an AI project Training data should be
a. Relevant
b. Scattered
c. Structured
d. Authentic
Choose the correct option:
a. Both i and ii
b. Both i and iv
c. Only i
d. Only iv
iv. The Sustainable Development Goals (SDGs) were launched at the United Nations
Sustainable Development Summit in New York in the year 2015, forming the 2030 Agenda
for Sustainable Development.

a. 17
b. 15
c. 13
d. 19
v. Identify the algorithm based on the given graph

a. Dimensionality reduction
b. Classification
c. Clustering
d. Regression

vi. When you search for 'Doctor' on a search website, the results for Doctor images might
mostly come up as 'male'. Whereas for 'Nurse' most results would be 'female'. What does
this depict?
a. Gender bias
b. Data Privacy
c. Poor training
d. Lack of access
4. Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)
i. Which of the following is the type of data used by NLP applications?
a. Images
b. Numerical data
c. Graphical data
d. Text and Speech
ii. A corpus contains 12 documents. How many document vectors will be there for that
corpus?
a. 12
b. 1
c. 24
d. 1/12
iii. The 4 Ws of the 4W problem canvas are:
a. Who, What, Where and Why
b. Who, What, When and Why
c. Who, What, Where and When
d. Who, Where, When and Why
iv. The term Sentence Segmentation is_____.
a. The whole corpus 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.
v. Kalyan Vidyalayam installed an AI system named AI Receptionist in their school office. It
was developed by their senior section students. It is a voice enabled chatbot equipped
and trained to answer queries at the school reception in a human-like interface. The
chatbot can also print out a list of FAQs if requested. Name the domain of AI based on
which the chatbot is working.
a) Computer Vision b) NLP c) Big Data d) Data Science
vi. “Once trained, the model cannot learn from its mistakes.” This statement is true for
which type of models?
a) Rule based b) Learning based c) Machine Learning d) Deep Learning
Q. 5 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)
i. The output given by the AI machine is known as ______.
a. Prediction b. Reality c. Both d. None
ii.F1 Score is used to record the result of comparison between the prediction and reality.
It is not an evaluation metric but a record which can help in evaluation.
iii. Raunak was learning the conditions that make up the confusion matrix. He came across
a scenario in which the machine that was supposed to predict an animal was always
predicting not an animal. What is this condition called?
a. False Positive b. True Positive c. False Negative d. True Negative
iv. Which two evaluation methods are used to calculate F1 Score?
a. Precision and Accuracy
b. Precision and Recall
c. Accuracy and Recall
d. Precision, F1 score
v. Which of the following statements is not true about overfitting models?
a. This model learns the pattern and noise in the data to such extent that it harms
the performance of the model on the new dataset
b. Training result is very good and the test result is poor
c. It interprets noise as patterns in the data
d. The training accuracy and test accuracy both are low
vi. Priya was confused with the terms used in the evaluation stage. Suggest her the term used
for the percentage of correct predictions out of all the observations.
a. Accuracy
b. Precision
c. Recall
d. F1 Score

SECTION B: SUBJECTIVE TYPE QUESTIONS

Answer any 3 out of the given 5 questions on Employability Skills (2 x 3 = 6 marks)


6. Write any four ways to increase the performance of computer.
7. What do entrepreneurs do when they run their business? Mention any two points.
8. Name the quality of an entrepreneur willing to learn from failures and find alternative
ways to solve the problems.
9. Why should we focus on sustainable development?
10. Gaurav wants to prevent others from using his computer? Write any two ways to do it.
Answer any 4 out of the given 6 questions in 20 – 30 words each (2 x 4 = 8 marks)
11. How do you understand whether a machine/application is AI based or not? Explain with
the help of an example
12. Suhana works for a company wherein she was assigned the task of developing a project
using AI project cycle. She knew that the first stage was scoping the problem. Help her
list the remaining stages that she must go through to develop the project.
13. Explain any two applications of computer vision.
14. Mention four features of a Neural Network.
15. Explain any two applications of Data Science.
16. Differentiate between Script-bot and Smart-bot.(any two points).
Answer any 3 out of the given 5 questions in 50– 80 words each (4 x 3 = 12 marks)
17. Explain the relationship between AI, ML & DL with neat diagram.
18. Explain various stages of AI project cycle with diagram.
19. Most senior citizens are not as tech-savy as the younger generations. And so,for them
searching for information on the internet through conventional means like PCs or
smartphones might seem like a difficult task. Nevertheless, information or knowledge
should be available for their consumption as well, wherein they cansimply speak what
they want to know about and relevant information is provided instantly.
For the situation given above,
1. Write the problem statement template
2. List any two sources from which data can be collected.
3. How do we explore the data?
20. Create step by step approach to implement bag of words algorithm.
Document 1: Ankith likes to watch news.
Document 2: Bharath likes to watch sports and news too.
Document 3: Charan likes to play football.
21. Calculate Accuracy, precision, recall and F1 Score.

Reality

Yes No
Confusion Matrix
Yes 60 25
Predicted
No 05 10

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