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Artificial Intelligence

Total questions: 50

Worksheet time: 25mins

Name
Class
Date
1.

What is the full form of AI?

a)

Abnormal Intelligence

b)

Artificial Intelligence

c)

Automatic Intelligence

d)

Apartheid Intelligence

2.

Which of these languages is used for AI programming?

a)

Cobol

b)

Fortran

c)

C++

d)

Python

3.

Which of these AI domains is used by Interactive Voice Response applications?

a)

Data

b)

NLP

c)

CV

d)

None of these

4.

Which of these is an example of self driving car?

a)

SIRI

b)

Alexa

c)

Tesla

d)

MIKO

5.

What are machines fed with to make them intelligent?

a)

Data and algorithm

b)

Data

c)

Human brain

d)

None of these

6.

Is automatic dishwasher example of A.I ? If not why?

a)

Yes

b)

No, coz it is example of automation

c)

No, coz it requires human input

d)

Both b and c

7.

Which type of A.I could surpass human intelligence?

a)

Weak A.I

b)

Strong A.I

c)

Super A.I

d)

A.I cannot do so

8.

Which is/are advantages of smart cities ?

a)

Have adequate water supply

b)

Public utilities are very efficient

c)

Centralized camera survillance system

d)

None of these

9.

(a)   is a domain of AI related to data systems and processes, in which the system collects numerous data, maintains data sets and derives meaning/sense out of

them.

10.

It is a subset of Artificial Intelligence which enables machines to improve at tasks with experience (data).

a)

Machine Learning

b)

AI

c)

Deep Learning

11.

In this model, the machine is trained with huge amounts of data which helps it in training itself around the data. Such machines are intelligent enough to develop algorithms for themselves.

a)

AI

b)

ML

c)

DL

12.

Domain of the game Rock Paper Scissors is

a)

NLP

b)

Data Science

c)

Computer Vision

13.

Domain of the AI used by price comparison websites is

a)

Data Science

b)

NLP

c)

CV

14.

The __________ helps us to summarise all the key points of Problem Scoping.

a)

Problem Statement Template

b)

4 Ws Problem canvas

c)

Data Features

15.

The basis of decision making depends upon the availability of information and how we experience and understand it. ‘Information’ includes:

a)

Past experience

b)

Intuition

c)

Knowledge

d)

All of the above

16.

Which one of the following is not an application of Natural Language Processing?

a)

Smart assistants

b)

Sentiment Analysis

c)

Price Comparison Websites

d)

Email filters

17.

An air conditioner can be turned on and off remotely with the help of internet is an example of:

a)

Augmented Reality

b)

Automation

c)

Internet of Things

18.

The AI domain which can be used to predict AIR quality index is

a)

NLP

b)

CV

c)

Data Science

19.

Which of the following is not an AI application?

a)

Google Maps

b)

Writing suggestion in gmail

c)

Face Recognition

d)

Kahoot

20.

FUNCTIONS OF ARTIFICIAL INTELLIGENCE ON YOUR SMARTPHONE

a)

Voice assistants,Smart photos,Object recognition

b)

Smart photos

c)

Object recognition

d)

Reason ethically

e)

Understand cause and effect

21.

What are some things that the autonomous vehicles equipped with?

a)

sensors,cameras

b)

water dispenser

c)

radars, lidar

22.

What is a benefit of artificial intelligence?

a)

The artificial intelligence reduce the probability of error

b)

Decreases the work efficiency.

c)

Increases the cost of personal and training

23.

Where is AI in our life?

a)

iphones

b)

tablets

c)

cars

d)

tree

e)

button

24.

What is the 1 reason that we mention?

a)

Artificial intelligence is almost in each device that we use on a daily basis

b)

The artificial intelligence has improved a lot of aspects of our lives and will keep improving our lives

c)

none of the above

25.

The Following Are Type Of AI Except

a)

Deep Learning

b)

Mixed Learning

c)

Artificial Intelligence

d)

Machine Learning

26.

Machine Learning is the type of AI that Depends On the Data Given to it

a)

TRUE

b)

FALSE

27.

Machine Learning uses functions known as Artificial Neural networks

a)

TRUE

b)

FALSE

28.

Comparing the 3 branches of Ai which one is the latest

a)

Artificial intelligence

b)

Machine Learning

c)

Deep Learning

d)

All of the Above

29.

Artificial intelligence can be used in

a)

Fraud Detection

b)

Customer Service

c)

Supply Chain

d)

All of the Above

e)

None Of the Above

30.

AI Agents that respond to users online are called

(a)  

31.

What is OAV stands for?

a)

Object-Attitude-Value

b)

Object-Attribute-Value

c)

Onset-Attitude-Value

d)

Onset-Attribute-Value

32.

Which of these is FALSE for rules?

a)

Rules can generate decision tree

b)

Decision tree can generate rules

c)

Rules do not allow contradiction

d)

Rules are good in representing sequence

33.

What is the disadvantage of semantic networks?

a)

did not allow inheritance

b)

not easy to add new node

c)

not able to show hierarchy of relationship

d)

not able to show operational knowledge

34.

Why knowledge representation is important?

a)

filters facts and non-facts

b)

capture correct procedures

c)

to map the facts

d)

to formalise the knowledge engineering process

35.

What among the following is/are the example of the intelligent agent/agents?

a)

Human

b)

Robot

c)

Autonomous Spacecraft

d)

All of the mentioned

36.

When a ML model recognises the person speaking, it is called ____.

a)

Person Recognition

b)

Voice Recognition

c)

Audio Recognition

d)

Speech Recognition

37.

All of the following are types of AI except.

a)

Natural Language Processing

b)

Machine Learning

c)

Internet of Things

d)

Speech Recognition

38.

Deciding whether an object is, eg. a car or a truck:

a)

regression problem

b)

classification problem

c)

expert system

39.

Deciding whether an email is spam or not:

a)

regression problem

b)

classification problem

c)

expert system

40.

Kind of learning in which a robot or software bot learns to make the right decisions to achieve a goal, over a great many different trials:

a)

supervised learning

b)

unsupervised learning

c)

reinforcement learning

41.

How do we teach an AI device?

a)

Give it data

b)

Provide it with examples

c)

All of the above

d)

None of the above

42.

What is data?

a)

Raw facts that may not make sense

b)

Information

c)

Data helps us to browse

d)

None of the above

43.

How does an AI device learn and think?

a)

It hacks our computer

b)

It accepts data and trains itself, then creates a model

c)

It hacks our brain

d)

None of the above

44.

What is information?

a)

Information is processed data

b)

Information is data

c)

Information is something

d)

I do not know

45.

What is VR?

a)

Virtual Response

b)

Virtual Reality

c)

Very Random

d)

Virtually reliable

46.

How does AR work?

a)

It takes a real world and adds computer simulation

b)

It simulates a virtual world

c)

It creates a virtual world that is harmful

d)

None of the above

47.

Color recognition:………………

a)

computer vision

b)

robotics

c)

Natural Language Processing

48.

Translation:………………

a)

computer vision

b)

robotics

c)

Natural Language Processing

49.

Voice to text:………………

a)

computer vision

b)

robotics

c)

Natural Language Processing

50.

I can do only one task, but I do it perfectly.

a)

Narrow AI

b)

General AI

c)

Super AI