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Akshath_9J_Projectwork.AI

Total questions: 29

Worksheet time: 15mins

Name
Class
Date
1.

Can be defined as the ability of a computer to perform tasks that require human intelligence.

a)

Machine Learning

b)

Artificial Intelligence

c)

Unsupervised Learning

2.

Can be defined as the ability of a computer to perform tasks that require human intelligence.

a)

Machine Learning

b)

Artificial Intelligence

c)

Unsupervised Learning

3.

The ability of a computer to understand images and videos

a)

Robotics

b)

Natural Language Processing

c)

Computer Vision

4.

The ability of a computer to understand human language is called

a)

NLP

b)

Computer Vision

c)

Medical Science

5.

Human face recognition is considered as

a)

NLP

b)

Computer Vision

6.

Objects tracking is considered as

a)

NLP

b)

Computer vision

7.

Voice to text is considered as

a)

NLP

b)

Computer Vision

8.

A machine that is specialized in one task or area.

a)

Artificial general intelligence

b)

Artificial narrow intelligence

c)

Artificial super intelligence

9.

Intelligent machines that can learn any tasks that humans can do.

a)

Artificial general intelligence

b)

Artificial narrow intelligence

c)

Artificial super intelligence

10.

A theoretical type of AI where the machine can outperform human intelligence in every task

a)

Artificial general intelligence

b)

Artificial narrow intelligence

c)

Artificial super intelligence

11.

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

12.

The unique characteristics of something

a)

Supervised learning

b)

Features

c)

Unsupervised learning

13.

learning from examples in a training data set is a

a)

Supervised Learning

b)

Unsupervised Learning

14.

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

15.

The machine will group objects with similar features but will not be able to identify what this group label

a)

Supervised Learning

b)

Unsupervised Learning

16.

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

a)

Supervised Learning

b)

Unsupervised Learning

17.

Predict the price of a house

a)

Supervised Learning

b)

Unsupervised Learning

18.

Recommend a product based on your buying history

a)

Supervised Learning

b)

Unsupervised Learning

19.

Identify Currency

a)

Supervised Learning

b)

Unsupervised Learning

20.

What is Artificial intelligence?

a)

When robots take over the world

b)

Ability of a program or machine to think and learn

c)

Ability of a program or machine to depend on human

d)

None of the above

21.

How do we give instructions during programming?

a)

Coding

b)

Algorithm

c)

All of the above

d)

None of the above

22.

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

23.

What is data?

a)

Raw facts that may not make sense

b)

Information

c)

Data helps us to browse

d)

None of the above

24.

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

25.

What is information?

a)

Information is processed data

b)

Information is data

c)

Information is something

d)

I do not know

26.

What is VR?

a)

Virtual Response

b)

Virtual Reality

c)

Very Random

d)

Virtually reliable

27.

What is AR?

a)

Augmented Reality

b)

Argumentative Reality

c)

Augmented Response

d)

All of the above

28.

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

29.

Why do we need AI?

a)

To help in treatment of diseases

b)

To make our lives much easier

c)

To help in fighting crime

d)

All of the above