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POE - Understanding Artificial Intelligence

Total questions: 12

Worksheet time: 6mins

Name
Class
Date
1.

What is the primary goal of Artificial Intelligence?

a)

To create machines that can only perform calculations

b)

To replace all human jobs

c)

To simulate human intelligence in machines

d)

To develop video games

2.

Which of the following is a subfield of AI?

a)

Quantum Computing

b)

Virtual Reality

c)

Blockchain

d)

Machine Learning

3.

What is the K-Nearest-Neighbor (KNN) algorithm used for?

a)

Predicting behavior based on data

b)

Building hardware components

c)

Encrypting data

d)

Designing user interfaces

4.

What type of machine learning uses labeled data sets?

a)

Deep Learning

b)

Reinforcement Learning

c)

Unsupervised Learning

d)

Supervised Learning

5.

Which machine learning type searches for patterns in unlabeled data?

a)

Reinforcement Learning

b)

Supervised Learning

c)

Transfer Learning

d)

Unsupervised Learning

6.

What is the main characteristic of reinforcement learning?

a)

Simulating human emotions

b)

Finding patterns in data

c)

Using labeled data

d)

Learning through trial and error

7.

What is an example of a task that AI can perform?

a)

Writing novels

b)

Building houses

c)

Cooking meals

d)

Recognizing and remembering objects and faces

8.

Why is programming a computer to recognize handwritten text challenging?

a)

Because it requires expensive hardware

b)

Because of the variety of handwriting styles

c)

Because handwriting is not digital

d)

Because computers cannot read

9.

What does the K value in KNN represent?

a)

The type of data used

b)

The size of the data set

c)

The speed of the algorithm

d)

The number of nearest neighbors

10.

What is a common application of supervised machine learning?

a)

Identifying pictures of dogs

b)

Predicting weather patterns

c)

Designing video games

d)

Building robots

11.

What is an example of unsupervised machine learning?

a)

Identifying different types of clients from sales data

b)

Training a model to play chess

c)

Recognizing speech patterns

d)

Translating languages

12.

What is the main advantage of using machine learning techniques?

a)

It is cheaper than other methods

b)

It is faster than traditional programming

c)

It requires no data

d)

Computers learn to program themselves