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Artificial Intelligence

Total questions: 24

Worksheet time: 22mins

Name
Class
Date
1.

What is AI used for?

a)

Healthcare

b)

Transportation

c)

Education

d)

All of the Above

2.

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

3.

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

4.

Which of the following would be a GOOD question to ask, if you were testing to see if you were talking to a human or a computer?

a)

What is the capital of Argentina?

b)

What is the square root of one million?

c)

What is your favourite food?

d)

Who has scored the most goals in Premier League history?

5.

Which of the following would be a BAD question to ask, if you were testing to see if you were talking to a human or a computer?

a)

Do an impression of Simon Cowell

b)

Can you play chess?

c)

Tell me who your best friend reminds you of

d)

Who would you get to play yourself in a movie and why?

6.

Which of these does NOT use machine learning/AI?

a)

driverless cars

b)

SIRI/Alexa

c)

Sonos wireless speakers

d)

facial recognition on your phone

7.

Which of the following statements are FALSE? (choose as many as are appropriate)

a)

An AI might be placed in a position where it has to make a life or death decision

b)

AI's use the same criteria as humans, when making decisions

c)

AI's can learn from the mistakes that they make

d)

No machine has ever passed for a human being

8.

Why haven't scientists been completely successful when developing AI?

a)

They do not have the time or money

b)

The human brain is very simple

c)

The human brain is very complex

d)

They are trying to replicate the human heart

9.

Which of these questions would "Siri" or "Alexa" not be able to answer?

a)

What's the weather like outside?

b)

Is there any traffic on the way to work?

c)

What am I having for my tea tonight

d)

What day is Christmas Day on this year?

10.

How does artificial intelligence become useful to society?

a)

It becomes helpful in completing tasks quickly and efficiently thus producing more products

b)

It becomes helpful in completing tasks quickly thus makes people lazy

c)

It becomes helpful in making task easier and less efficient resulting to the boost of economy.

d)

It helps us to complete our task.

11.

How does Weak AI differs from Strong AI?

a)

Weak AI contains basic information like programmed response while Strong AI contains high cognitive information like the ability to reason.

b)

Weak AI is a developing type of intelligence while the Strong AI is already established.

c)

Strong AI is better than weak AI because it is an improved version.

d)

Strong AI is widely used compare to Weak AI.

12.

Artificial intelligence is all about robots.

a)

True

b)

False

c)

Maybe

13.

System that mimic the expertise of an expert is known as

a)

Information System

b)

Computer System

c)

Expert System

d)

Super System

14.

All Expert systems are Information system but not all information systems are Expert system

a)

Straight True

b)

No No, Its false

15.

Parts of expert system

a)

Knowledge Base

b)

Inference Engine

c)

Rule base

d)

Database

e)

Website

16.

prospecting oils and minerals can be done by

a)

Information system

b)

Expert system

c)

Database system

d)

Computer System

17.

What is Machine Learning? (Choose 3 Answers)

a)

Artificial Intelligence

b)

Machine Learning

c)

Data Statistics

d)

Deep Learning

18.

from the picture, what kind of programming is it?

a)

Traditional Programming

b)

Modern Programming

c)

Machine Learning

d)

Traditional Learning

19.

from the picture, what kind of programming is it?

a)

Traditional Programming

b)

Machine Learning

c)

Modern Programming

d)

Traditional Learning

20.

Which of the following is not type of learning?

a)

Semi-unsupervised Learning

b)

Unsupervised Learning

c)

Supervised Learning

d)

Reinforcement Learning

21.

This picture shows a result of ...

a)

Supervised Learning: Classification

b)

Unsupervised Learning: Regression

c)

Unsupervised Learning: Prediction

d)

Supervised Learning: Regression

22.

Machine Learning has various function representation, which of the following is not numerical functions?

a)

Linear Regression

b)

Support Vector Machines

c)

Neural Network

d)

Case-based

23.

Machine Learning has various search/ optimization algorithms, which of the following is not evolutionary computation?

a)

Perceptron

b)

Genetic Algorithm (GA)

c)

Neuro Evolution

d)

Genetic Programming (GP)

24.

Fraud Detection, Image Classification, Diagnostic, and Customer Retention are applications in ...

a)

Unsupervised Learning: Clustering

b)

Supervised Learning: Classification

c)

Reinforcement Learning

d)

Unsupervised Learning: Regression