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Boosting AI Quiz

Total questions: 25

Worksheet time: 4mins

Name
Class
Date
1.

In the context of computer vision, what does "YOLO" stand for?

a)

You Only Look Once

b)

Your Object Locator

c)

Yielding Optimal Localization Output

d)

Yearning for Object Labels

2.

Which is not a category of processes in which Artificial Intelligence is classified?

a)

Reasoning

b)

Sensing

c)

Acting

d)

Supervised Learning

3.

The “Father of Artificial Intelligence” is:

a)

ALAN TURING

b)

CHARLES BABBAGE

c)

JOHN MCCARTHY

d)

LOTFI A ZADEH

4.

The total number of logical symbols in AI are ____

a)

There are 3 logical symbols

b)

There are 5 logical symbols

c)

Number of logical symbols are based on the input

d)

Logical symbols are not used

5.

 Which famous female mathematician wrote the first algorithm and is widely recognised as the first computer programmer?

a)

Ada Lovelace

b)

Hypatia

c)

Sofia Kovalevskaya

d)

Florence Nightingale

6.

Which of the following is an example of an ensemble method?

a)

 Clustering

b)

Linear Regression

c)

Random Forest

d)

Classification

7.

Which of the mentioned human behavior does the AI aim to mimic?

a)

Eating

b)

Sleeping

c)

None of the above

d)

Thinking

8.

What is the Full Form of a GPU?

a)

General Processing Unit

b)

Graphical Processing Unit

c)

Gaming Processing Unit

d)

Generative Processing Unit

9.

Who Is the CEO of OPEN AI?

a)

Alan Turing

b)

David Hanson

c)

Sam Altman

d)

Samuel Jackson

10.

What is full form of NLP?

a)

Natural Learning Processing

b)

Natural Language Processing

c)

Neural Language Processing

d)

Natural Learning Policy

11.

In the context of neural networks, what does "LSTM" stand for?

a)

Long Sequence Time Memory

b)

Learning Short-Term Memory

c)

Limited Sequence Time Memory

d)

Long Short-Term Memory

12.

Which of the following is the common language for Artificial Intelligence?

a)

Python

b)

LISP

c)

C++

d)

JAVA

13.

A process that is repeated, evaluated, and refined is called __________

a)

Diagnostic

b)

Descriptive

c)

Interpretive

d)

Iterative

14.

Which of the following is not an application of artificial intelligence?

a)

Natural Language Processing

b)

ChatBots

c)

Computer Vision

d)

Database Management System

15.

Which of the following are valid Machine Learning algorithms?

a)

K means Clustering

b)

Random Forest

c)

Naive Bayes

d)

All Of The Above

16.

What is an AI winter?

a)

An AI winter is the applications that AI can be applied to for winter activities

b)

An AI winter is a period of reduced funding and interest in artificial intelligence research

c)

An AI winter considered as a period of discontent for AI application

d)

An AI winter when an AI system is dormant.

17.

What is the primary challenge in creating Artificial General Intelligence?

a)

Cost

b)

Complexity of Human Intelligence

c)

Computational Power

d)

Data Storage

18.

Does any AI system currently have citizen rights?

a)

Yes, in just one country

b)

No, and they never will

c)

Yes they will in the future

d)

No, as they are not human

19.

Which of the following evaluation metrics is commonly used for classification problems?

a)

Mean Squared Error

b)

Mean Absolute Error

c)

R-squared

d)

Accuracy

20.

What does GAN stand for in the context of AI?

a)

General Analysis Network

b)

Generative Adversarial Network

c)

Graphical Analytics Node

d)

Global Algorithm Network

21.

Which technology underlies Bitcoin and has potential applications in AI?

a)

Virtual Reality

b)

Quantum Computing

c)

Blockchain

d)

3D Printing

22.

PEAS is an abbreviation for?

a)

Peace, Environment, Action, Sense

b)

Peer, Environment, Acting, Sensing

c)

Problem, Environment, Actuators, Sensors

d)

Performance, Environment, Actuators, Sensors

23.

Machines that try to imitate human intuition while handling vague information lie in the field of AI called?

a)

Fuzzy Logic

b)

Functional Logic

c)

Boolean Logic

d)

Temporal Logic

24.

Which is not a component Of Artificial Intelligence?

a)

Reasoning

b)

Training

c)

Problem Solving

d)

Learning

25.

What does 'Quantum Computing' promise for AI?

a)

Slower Processing Speeds

b)

Reduce Data Storage Capabilities

c)

Enhanced ability to solve problems

d)

Less Secure Data  Encryption