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ARTIFICIAL INTELLIGENCE_QUIZ 2

Total questions: 26

Worksheet time: 12mins

Name
Class
Date
1.

The ability of a computer to understand images and videos

a)

Robotics

b)

Natural Language Processing

c)

Computer Vision

2.

Human face recognition is considered as

a)

NLP

b)

Computer Vision

3.

Voice to text is considered as

a)

NLP

b)

Computer Vision

4.

The study of algorithms that enable the machine to learn from data and to make decisions without the help of humans.

a)

Machine Learning

b)

Artificial Intelligence

5.

The unique characteristics of something

a)

Supervised learning

b)

Features

c)

Unsupervised learning

6.

learning from examples in a training data set is a

a)

Supervised Learning

b)

Unsupervised Learning

7.

When the machine will be provided with features only. It will then try to group objects with similar features

a)

Supervised Learning

b)

Unsupervised Learning

8.

If the computer is trained to recognize cars, bikes and trucks with a human supervision.

a)

Supervised Learning

b)

Unsupervised Learning

9.

Predict the price of a house

a)

Supervised Learning

b)

Unsupervised Learning

10.

Recommend a product based on your buying history

a)

Supervised Learning

b)

Unsupervised Learning

11.

Why do machines demonstrate artificial intelligence?

a)

Because machines are not really intelligent compare to humans.

b)

Because machines are capable of doing tasks for humans by programming them with a specific information.

c)

Because machines are useful and relevant in our daily lives.

d)

Because machines give you artificial information which are important.

12.

It is a device module, or system used in electronic gadgets and materials to detect events and changes.

a)

Electrons

b)

Motor

c)

Sensor

d)

detector

13.

Artificial intelligence is all about robots.

a)

True

b)

False

c)

Maybe

14.

What is this?

a)

artificial intelligence

b)

algorithm

c)

neural network

15.

How many images would you need of a cat, for example, to train a neural network ?

a)

about 10

b)

a few hundred

c)

thousands

16.

Select movies that features either robots or A.I.

a)

Avengers: Age Of Ultron

b)

The Terminator

c)

Iron Man 3

d)

Harry Potter

e)

Avengers: Infinity War

17.

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

18.

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

19.

What is VR?

a)

Virtual Response

b)

Virtual Reality

c)

Very Random

d)

Virtually reliable

20.
Who was this man?
a)
John von Neumann
b)
Donald Knuth
c)
Alan Turing
d)
Tim Berners-Lee
21.

What means was devised to help work out whether or not a computer can think like a human?

a)

IQ test

b)

AI test

c)

Turing Test

d)

Machine Learning

22.

In the operation of computer, we need to tell a computer how to solve a problem by designing the detailed steps in an _________.

a)

calculation

b)

counting

c)

algorithm

d)

mathematics

23.

Most smartphones have voice input (_______________) function that allows users to use voice typing with speech recognition program.

a)

text-to-speech

b)

speech-to-speech

c)

text-to-text

d)

speech-to-text

24.

Machine Learning is a subset of Artificial Intelligence which allows a machine to make__________ by learning from experiences.

a)

preparation

b)

predictions

c)

testing

d)

precaution

25.

We use the term Big Data to describe ____________collected. In short, the Big Data is a larger, more complex data set, especially one from a new data source. The data set is so large that traditional data processing software cannot manage it.

a)

the very little amount of data

b)

the little amount of data

c)

the small amount of data

d)

the huge amount of data

26.

In training an Artificial Intelligence system, we need to provide a data set with sufficiently large amount of photos, speeches, or texts, etc. for the system to ______.

a)

analyse

b)

learn

c)

manage

d)

practice