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Artificial Intelligence Quiz

Authored by Zaka Shaheryar

Mathematics

7th Grade

Used 1+ times

Artificial Intelligence Quiz
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41 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the goal of Artificial General Intelligence (AGI)?

To perform specific tasks and make decisions in limited contexts.

To equal human intelligence.

To use data to learn and make decisions.

To interpret and make decisions based on visual data.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which type of AI is also known as weak AI?

Artificial General Intelligence (AGI)

Machine Learning (ML)

Artificial Narrow Intelligence (ANI)

Natural Language Processing (NLP)

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is an example of Machine Learning (ML)?

Recognizing images and interpreting speech.

Training a model to recognize stop signs by providing labeled images of stop signs.

Identifying patterns in genetic data to find disease-related genes.

A robotic arm learning to throw objects into a bin efficiently.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which type of machine learning involves the model looking for patterns in data without labels?

Supervised Learning

Unsupervised Learning

Reinforcement Learning

Natural Language Processing (NLP)

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is an example of Reinforcement Learning?

Training a model to recognize stop signs.

Identifying patterns in genetic data.

A robotic arm learning to throw objects into a bin efficiently.

Chatbots and search engines.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does Natural Language Processing (NLP) focus on?

Interpreting and making decisions based on visual data.

The interaction between computers and humans through natural language.

Learning from data to make decisions.

Performing specific tasks in limited contexts.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which field of AI is used in facial recognition and object detection systems in autonomous vehicles?

Machine Learning (ML)

Natural Language Processing (NLP)

Computer Vision (CV)

Reinforcement Learning

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