Ai terms - Quiz on Artificial Intelligence

Ai terms - Quiz on Artificial Intelligence

12th Grade

15 Qs

quiz-placeholder

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Ai terms - Quiz on Artificial Intelligence

Ai terms - Quiz on Artificial Intelligence

Assessment

Quiz

Computers

12th Grade

Easy

Created by

Haythem Benhamida

Used 2+ times

FREE Resource

15 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of the Turing Test?

To measure a machine's ability to exhibit intelligent behavior

To assess the memory capacity of machines

To evaluate the speed of a computer

To determine the cost of AI development

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does CAPTCHA stand for?

Completely Automated Public Turing test to tell Computers and Humans Apart

Comprehensive Assessment of Public Turing for Human Analysis

Computerized Automated Public Test for Human Interaction

Completely Automated Public Test for Computer Analysis

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which type of AI is designed to perform a specific task?

Super AI

Strong AI

Weak/Narrow AI

Domain-specific AI

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is an Expert System?

A computer system that acts like a human expert in a specific subject area

A system that can learn from experience without human intervention

A type of AI that can perform any task better than humans

A system that only processes numerical data

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the role of the Inference Engine in an Expert System?

To store all the data necessary for decision-making

To apply logical rules and reasoning to reach conclusions

To provide a user interface for interaction

To gather data from external sources

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In supervised learning, what is the purpose of training data?

To test the algorithm's performance

To store unlabelled data for future use

To provide examples for the algorithm to learn from

To generate random data for analysis

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What distinguishes unsupervised learning from supervised learning?

Unsupervised learning uses unlabelled data

Unsupervised learning requires human oversight

Unsupervised learning is faster than supervised learning

Unsupervised learning can only analyze numerical data

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