AI careers and how AI is built quiz

Question 1

What is a 'dataset' and why is it important for building AI?

Accepted Answer

A collection of examples used to train an AI

Answer

A type of computer chip

Answer

A programming language

Answer

A robot's battery

Question 2

What does a Machine Learning Engineer mainly do?

Accepted Answer

Builds and deploys models that learn from data

Answer

Designs building floor plans

Answer

Repairs computer hardware only

Answer

Writes news articles

Question 3

In simple terms, how does a computer 'learn' from examples?

Accepted Answer

It guesses, measures its error, and adjusts to improve

Answer

It memorizes a textbook

Answer

It asks a human for every answer

Answer

It copies another computer exactly

Question 4

What is the difference between 'training data' and 'test data'?

Accepted Answer

Training teaches the model; test checks unseen performance

Answer

They are exactly the same thing

Answer

Test data is always larger than training data

Answer

Training data is only for robots

Question 5

What is a 'label' in supervised learning?

Accepted Answer

The correct answer attached to an example

Answer

A sticker on a laptop

Answer

The name of a programming language

Answer

A type of error

Question 6

What does a Data Scientist do that is different from a Data Analyst?

Accepted Answer

Data Scientists often build predictive models; Analysts focus on reports

Answer

There is no difference at all

Answer

Analysts only write video games

Answer

Data Scientists never use data

Question 7

Why is cleaning data an important step before training an AI?

Accepted Answer

Because messy data leads to a worse model

Answer

To make the computer run cooler

Answer

It is not actually important

Answer

To save electricity

Question 8

What is an 'algorithm' in the context of AI?

Accepted Answer

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

Answer

A type of computer screen

Answer

A brand of robot

Answer

A storage device

Question 9

What is a neural network inspired by?

Accepted Answer

Neurons in the human brain

Answer

The internet

Answer

A spider's web only

Answer

Television signals

Question 10

What skills are most useful for someone who wants an AI career?

Accepted Answer

Programming, math, and problem-solving

Answer

Only the ability to type fast

Answer

Only drawing skills

Answer

Memorizing phone numbers

Question 11

What is 'overfitting' and why is it a problem?

Accepted Answer

The model memorizes training data and fails on new data

Answer

The model runs too slowly

Answer

The computer overheats

Answer

The dataset is too small to load

Question 12

Why is Python a popular language for building AI?

Accepted Answer

It is readable and has many AI libraries

Answer

It is the only language that exists

Answer

It runs only on phones

Answer

It was invented for AI in 2020

Question 13

What is the role of a 'data labeler' (annotator) in building AI?

Accepted Answer

They add correct answers to raw data for training

Answer

They design company logos

Answer

They sell computers

Answer

They write the operating system

Question 14

What does it mean for an AI model to 'make a prediction'?

Accepted Answer

The model produces an output for new input based on learned patterns

Answer

The model deletes data

Answer

The model turns off

Answer

The model copies the input exactly

Question 15

What is the difference between supervised and unsupervised learning?

Accepted Answer

Supervised uses labels; unsupervised finds patterns without labels

Answer

They are identical

Answer

Unsupervised always needs a teacher

Answer

Supervised never uses data

Question 16

What is a simple way to measure how good a classification model is?

Accepted Answer

Accuracy: the percent of correct predictions

Answer

By how fast it boots up

Answer

By its file size

Answer

By the color of its output

Question 17

Why should people building AI think about bias and fairness?

Accepted Answer

Biased data can make AI unfair to people

Answer

Bias never affects AI

Answer

Fairness only matters for robots

Answer

AI cannot be biased because it is a machine

Question 18

What is a 'feature' in machine learning?

Accepted Answer

A measurable input property used by the model

Answer

A bonus level in a game

Answer

A type of monitor

Answer

A software bug

Question 19

What does an AI Research Scientist typically focus on?

Accepted Answer

Inventing and improving new AI methods and theories

Answer

Selling computers in stores

Answer

Cleaning office buildings

Answer

Designing furniture

Question 20

What is the purpose of 'training' a model many times (epochs)?

Accepted Answer

To gradually reduce errors over many passes through the data

Answer

To waste time on purpose

Answer

To delete the dataset

Answer

To make the file smaller

Question 21

How can a student start learning to build AI today?

Accepted Answer

Learn basic Python and build small projects

Answer

Buy the most expensive computer first

Answer

Wait until university only

Answer

Memorize the whole internet

Question 22

What is the difference between AI, Machine Learning, and Deep Learning?

Accepted Answer

Deep Learning is part of ML, which is part of AI

Answer

They are three names for the same thing

Answer

AI is part of Deep Learning

Answer

Machine Learning is unrelated to AI

Question 23

In the Python code below using scikit-learn, what does model.fit(X, y) do?

Accepted Answer

It trains the model using inputs X and answers y

Answer

It deletes the data

Answer

It prints the dataset

Answer

It uninstalls the library

Question 24

Why is teamwork important when building real AI products?

Accepted Answer

Many roles must collaborate to build AI products

Answer

AI is always built by one person alone

Answer

Teamwork slows everything down with no benefit

Answer

Only managers build AI

Question 25

What is a 'model' in machine learning?

Accepted Answer

A trained program that makes predictions from learned patterns

Answer

A fashion mannequin

Answer

A type of keyboard

Answer

A backup battery

Question 26

What is 'data privacy' and why does it matter when building AI?

Accepted Answer

Protecting people's personal information responsibly

Answer

Sharing everyone's data publicly

Answer

Deleting all data immediately

Answer

A type of computer virus

Question 27

What does an MLOps engineer help with?

Accepted Answer

They deploy, monitor, and maintain models in production

Answer

They only design websites

Answer

They write novels

Answer

They sell hardware

Question 28

Why do AI models sometimes need to be retrained over time?

Accepted Answer

Real-world data changes over time (drift)

Answer

Models never need retraining

Answer

Retraining makes them slower for no reason

Answer

Only to use more electricity

Question 29

What is the difference between a 'parameter' and a 'hyperparameter'?

Accepted Answer

Parameters are learned; hyperparameters are set before training

Answer

They are the same thing

Answer

Hyperparameters are learned automatically

Answer

Parameters are chosen by hand

Question 30

How is a large language model (like a chatbot) different from a simple rule-based program?

Accepted Answer

A language model learns from text data instead of fixed human rules

Answer

They are exactly the same

Answer

Rule-based programs learn from data

Answer

Language models cannot make mistakes

Test yourself