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Understanding AI: Domains and Applications AIProjectCyc

Total questions: 14

Worksheet time: 7mins

Name
Class
Date
1.

Which one of the following is an application of AI?

a)

Remote controlled Drone

b)

Self-Driving Car

c)

Self-Service Kiosk

d)

Self-Watering Plant System

2.

This language is easy to learn and is one of the most popular languages for AI today:

a)

C++

b)

Python

c)

Ruby

d)

Java

3.

This field is enabling computers to identify and process images as humans do:

a)

Face Recognition

b)

Model-view-controller

c)

Computer Vision

d)

Eye-in-Hand System

4.

What does NLP stand for in AI?

a)

Neutral Learning Projection

b)

Neuro-Linguistic Programming

c)

Natural Language Processing

d)

Neural Logic Presentation

5.

Which of the following is not a domain of artificial intelligence?

a)

Data Management System

b)

Computer Vision

c)

Natural Language Processing

d)

Data Science

6.

How excited are you about this AI curriculum?

a)

Very Excited!

b)

A bit excited

c)

Same as always

d)

Not excited at all

7.

Which one of the following is the second stage of AI project cycle?

a)

Data Exploration

b)

Data Acquisition

c)

Modelling

d)

Problem Scoping

8.

Which of the following comes under Problem Scoping?

a)

System Mapping

b)

4Ws Canvas

c)

Data Features

d)

Web scraping

9.

Which of the following is not valid for Data Acquisition?

a)

Web scraping

b)

Surveys

c)

Sensors

d)

Announcements

10.

If an arrow goes from X to Y with a – (minus) sign, it means that

a)

If X increases, Y decreases

b)

The direction of relation is opposite

c)

If X increases, Y increases

d)

It is a bi-directional relationship

11.

Which of the following is not a part of the 4Ws Problem Canvas?

a)

Who?

b)

Why?

c)

What?

d)

Which?

12.

The process of breaking down the big problem into a series of simple steps is known as:

a)

Efficiency

b)

Modularity

c)

Both

d)

None

13.

The primary purpose of data exploration in AI project cycle is _____________

a)

To make data more complicated

b)

To simplify complex data

c)

To discover patterns and insights in data

d)

To visualize data

14.

Deployment is the final stage in the AI project cycle where the AI model or solution is implemented

in a real-world scenario.

a)

True

b)

False