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Finale Quiz - AI

Total questions: 53

Worksheet time: 2hrs 30mins

Name
Class
Date
1.

What does AI stand for?

a)

Automated Input

b)

Advanced Interface

c)

Artificial Intelligence

d)

Algorithmic Interaction

2.

Which of the following is not a subset of AI?

a)

Machine Learning

b)

Data Mining

c)

Deep Learning

d)

Neural Networks

3.

What is the main goal of Artificial Intelligence?

a)

Replace humans

b)

Create intelligent agents

c)

Store large data

d)

Build websites

4.

Which programming language is most commonly used in AI development?

a)

Python

b)

Java

c)

C++

d)

HTML

5.

Which of these is an application of AI?

a)

Power supply

b)

Car manufacturing

c)

File compression

d)

Facial recognition

6.

Which is not a type of AI

a)

Superior AI

b)

Super AI

c)

Rule based AI

d)

Narrow AI

7.

Which of the following best defines Machine Learning?

a)

Rule-based decision making

b)

Manual data processing

c)

Learning from data without being explicitly programmed

d)

Coding neural networks manually

8.

What are the three main types of Machine Learning?

4 lines
9.

AI only works with structured data

a)
True
b)
False
10.

What allows machines to improve performance over time without reprogramming?

a)

Static algorithms

b)

Manual tuning

c)

Machine Learning

d)

Predefined logic

11.

What is the goal of Unsupervised Learning?

a)

Predict values

b)

Find hidden patterns

c)

Reinforce rewards

d)

Classify data

12.

Name 3 Types of Data Based on Structure

4 lines
13.

Which is an example of Supervised Learning?

a)

Market basket analysis

b)

Clustering students

c)

Principal Component Analysis

d)

Spam email detection

14.

In Supervised Learning, models learn from:

a)

Unlabeled data

b)

Historical events

c)

Labeled data

d)

Rewards

15.

Self-driving cars use which ML type to learn from environment?

a)

Reinforcement Learning

b)

Supervised Learning

c)

Unsupervised Learning

d)

Transfer Learning

16.

Unsupervised learning uses labeled data.

a)
True
b)
False
17.

Deep Learning is a subset of

(a)  

18.

Neural networks are inspired by

a)

Computer architecture

b)

Human brain

c)

Natural language

d)

Animal behavior

19.

The basic unit of a neural network is

a)

Cell

b)

Matrix

c)

Neuron

d)

Node.js

20.

What are layers in neural networks?

4 lines
21.

What are layers in neural networks?

a)

Rows of data

b)

Groups of neurons

c)

Pages of logs

d)

Coding Files

22.

What does the input layer do?

a)

Receives features

b)

Processes output

c)

Stores weights

d)

Calculates errors

23.

What happens in hidden layers

a)

Visual output is displayed

b)

Raw data is stored

c)

Feature extraction and computation

d)

Backpropagation stops

24.

A neuron fires only if the net input exceeds a certain value called the

(a)  

25.

In a neural network, each connection between neurons has an associated

(a)  

26.

The sum of inputs multiplied by their respective weights is called the

(a)  

27.

What does Generative AI do?

a)

Deletes old data

b)

Analyzes stock markets

c)

Compresses images

d)

Creates new content

28.

Which of the following is a Generative AI tool?

a)

Chrome

b)

Excel

c)

Sora

d)

Media Player

29.

“Generative” in AI means:

a)

Copying old data

b)

Generating original content

c)

Generating passwords

d)

Generating rules

30.

What are 5 types of Content Generative AI can generate?

4 lines
31.

GPT stands for:

(a)  

32.

Which company created ChatGPT?

(a)  

33.

ChatGPT uses which architecture?

a)

CNN

b)

LLM

c)

Transformer

d)

GAN

34.

LLM stands for:

4 lines
35.

What is RLHF?

4 lines
36.

ChatGPT is trained on a massive dataset of

(a)  

37.

During training, the model learns to predict the next

4 lines
38.

What does “fine-tuning” do to a pre-trained model like GPT?

a)

Shrinks the model size

b)

Speeds up training

c)

Changes its architecture

d)

Adapts it for specific tasks or tone

39.

Which of the following is not used in GPT’s pretraining data?

a)

Wikipedia

b)

Social media posts

c)

Internal company emails

d)

Online books and articles

40.

To make ChatGPT did they use Neural Network

a)
True
b)
False
41.

Diffusion models are mainly used for:

a)

Weather forecasting

b)

Image generation

c)

Speech compression

d)

Language translation

42.

What do diffusion models learn to do?

a)

Clean noise from input

b)

Compress audio

c)

Calculate loss functions

d)

Create rule-based outputs

43.

Which tool uses a diffusion model for image generation?

a)

Chatgpt

b)

midjourney

c)

gemini

d)

claude

44.

CAV stands for:

4 lines
45.

Name atleast 4 types of sensors used in autonomous vehicles?

4 lines
46.

What is V2V communication?

4 lines
47.

CAVs rely only on GPS.

a)
True
b)
False
48.

First vehicles to drive entirely by computer using cameras and vision-based AI.

(a)  

49.

The term AI was coined by

(a)  

50.

Scientifically Humans are called

(a)  

51.

What is an algorithm?

a)

A list of random steps

b)

A type of AI tool

c)

A set of step-by-step instructions to solve a problem

d)

A piece of hardware in a computer

52.

Major Test Facility for CAVs in Michigan

(a)  

53.

In the context of AI or machine learning, what is a pattern?

a)

A piece of clothing

b)

A repeated design in artwork

c)

A regularity or trend that a computer can learn from data

d)

A step in debugging code