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Artificial Intelligence & Applications

Total soal: 60

Worksheet time: 30mins

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Kelas
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1.

1)    It is the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings

a)

Automated computations

b)

IOT

c)

Artificial Intelligence

d)

None of these

2.

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

3.

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

4.

Domain of the game Rock Paper Scissors is

a)

NLP

b)

Data Science

c)

Computer Vision

5.

Domain of the AI used by price comparison websites is

a)

Data Science

b)

NLP

c)

CV

6.

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

a)

Problem Statement Template

b)

4 Ws Problem canvas

c)

Data Features

7.

Identify the correct order of the 4Ws problem canvas.

a)

Who? Why? When? Where?

b)

Who? What? Where? Why?

c)

Why? What? Where Who?

d)

Why? What? Who? Where?

8.

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

9.

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

10.

Under this block, you also gather evidence to prove that the problem you have selected actually exists. Identify the block of 4W problem canvas.

a)

Who

b)

what

c)

where

d)

why

11.

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

12.

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

a)

NLP

b)

CV

c)

Data Science

13.

Which of the following is not an AI application?

a)

Google Maps

b)

Writing suggestion in gmail

c)

Face Recognition

d)

Kahoot

14.

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

15.

The kind of machine learning where instances must be sorted into categories:

a)

regression problem

b)

classification problem

c)

expert system

16.

Which one requires that features be specified by the programmer in advance?

a)

deep learning

b)

machine learning without neural networks

17.

Deciding whether an email is spam or not:

a)

regression problem

b)

classification problem

c)

expert system

18.

Classification problem with machine learning from unlabelled instances, which are grouped in clusters that have close values for features:

a)

supervised learning

b)

unsupervised learning

c)

reinforcement learning

19.

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

20.

Which one of these is not an area of AI?

a)

computer vision/image recognition

b)

voice recognition

c)

web design

d)

robotics

21.

Human face recognition:………………

a)

computer vision

b)

robotics

c)

Natural Language Processing

22.

Translation:………………

a)

computer vision

b)

robotics

c)

Natural Language Processing

23.

Voice to text:………………

a)

computer vision

b)

robotics

c)

Natural Language Processing

24.

Face Lock in Smartphones is an example of ________________

a)

NLP

b)

Computer Vision

c)

ML - Data science

25.

___________________________ is to read, decipher, understand, and make sense of the human languages in a manner that is valuable.

a)

Natural Language Processing

b)

Machine Learning

c)

Computer Vision

26.

Alexa is an example of _____________________ domain

a)

Natural Language Processing

b)

Machine Learning

c)

Computer Vision

27.

_________________ 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.

a)

NLP

b)

ML - Data

c)

Computer Vision

28.

Which among the following is the AI domains?

a)

Natural Language Processing

b)

Computer Vision

c)

Data Sciences

d)

Smart Assistants

e)

Self Driving Cars

29.
Artificial Intelligence is the process that allows computers to learn and make decisions like humans
a)
True
b)
False
30.

The ability of a computer to understand images and videos

a)

Robotics

b)

Natural Language Processing

c)

Computer Vision

31.

The ability of a computer to understand images and videos

a)

Robotics

b)

Natural Language Processing

c)

Computer Vision

32.

The ability of a computer to understand human language is called

a)

NLP

b)

Computer Vision

c)

Medical Science

33.

Human face recognition is considered as

a)

NLP

b)

Computer Vision

34.

Objects tracking is considered as

a)

NLP

b)

Computer vision

35.

Voice to text is considered as

a)

NLP

b)

Computer Vision

36.

Which of the following is NOT a goal or feature of AI?

a)

Reasoning/decision making

b)

Forward planning

c)

Displaying emotion

d)

Natural Language

37.

Which of these is NOT an AI technology

a)

Facial recognition

b)

Image recognition

c)

Robotics

d)

Animation

38.

Who is the Father of AI?

a)

John Mc Carthy

b)

Alan Turing

c)

Steve Jobs

39.

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

a)

Data

b)

NLP

c)

CV

d)

None of these

40.

Which robot has got the citizenship of Saudi Arabia?

a)

Sophia

b)

Alice

c)

Wall-E

d)

Dolly

41.

What are machines fed with to make them intelligent?

a)

Data and algorithm

b)

Data

c)

Human brain

d)

None of these

42.

What are the domains of A.I ?

a)

Data,computer vision and NLP

b)

Algorithm,data,

people

c)

Data,algorithm,

NLP

d)

Data ,algorithm and computer vision

43.

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

44.

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

45.

Google alexa , Cortana Is application of which A.i domain   

a)

NLP

b)

Data

c)

Computer vision

d)

None of these

46.

Which of these languages is used for AI programming?

a)

Cobol

b)

Fortran

c)

C++

d)

Python

47.

Which of these is an example of self driving car?

a)

SIRI

b)

Alexa

c)

Tesla

d)

MIKO

48.

What are machines fed with to make them intelligent?

a)

Data and algorithm

b)

Data

c)

Human brain

d)

None of these

49.

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

50.

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

51.

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

52.

What are some things that the autonomous vehicles equipped with?

a)

sensors,cameras

b)

water dispenser

c)

radars, lidar

53.

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

54.

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

55.

Which one is NLP based application

a)

Google Lens

b)

Amazon Alexa

c)

Predictive analytical tools

56.

This device uses

a)

Machine Learning

b)

Deep Learning

c)

Predictive Analysis

57.

The technology used here is

a)

Machine Learning

b)

Deep Learning

c)

Predictive Analysis

58.

This type of application uses

a)

Deep Learning

b)

Machine Learning

c)

Predictive Analysis

59.

A self driving car is an example of

a)

Machine Learning

b)

Deep Learning

c)

Combination of Both

60.

How this can help Agriculture

a)

Plant disease prediction

b)

Plant watering

c)

Plant cutting

d)

All of the above