About this Study Set
This study set covers AI And ML through
25 practice questions.
This set of questions covers fundamental concepts of Artificial Intelligence (AI) and Machine Learning (ML) suitable for a high school curriculum. Every question includes the correct answer so you can learn as you go — pick any format above to get started.
Questions & Answers
Browse all 25 questions from the
Introduction to AI and Machine Learning study set below.
Each question shows the correct answer — select a study format above to practice interactively.
1
What does AI stand for?
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A
Automated Intelligence
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B
Artificial Intelligence
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C
Advanced Information
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D
Algorithmic Invention
2
Machine Learning (ML) is a subfield of which broader area?
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A
Robotics
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B
Data Science
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C
Artificial Intelligence
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D
Computer Programming
3
Which of these is a common type of machine learning where the algorithm learns from labeled data?
-
A
Unsupervised Learning
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B
Reinforcement Learning
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C
Supervised Learning
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D
Semi-supervised Learning
4
In Machine Learning, what is the term for the data used to train a model?
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A
Test Data
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B
Validation Data
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C
Training Data
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D
Production Data
5
Which AI technique allows a computer to mimic human speech and understand spoken language?
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A
Computer Vision
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B
Natural Language Processing (NLP)
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C
Robotics
-
D
Expert Systems
6
What is a 'neural network' in the context of AI and ML?
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A
A type of computer hardware
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B
A biological brain structure
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C
A computational model inspired by the human brain
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D
A programming language
7
What is the goal of 'unsupervised learning'?
-
A
To predict an outcome based on past examples
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B
To learn from data with no pre-existing labels
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C
To make decisions through trial and error
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D
To mimic human intuition
8
Which of these is an example of an AI application that recognizes objects in images?
-
A
Speech Recognition
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B
Machine Translation
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C
Computer Vision
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D
Recommendation Systems
9
In ML, what does 'overfitting' mean?
-
A
The model is too simple and doesn't capture patterns
-
B
The model performs very well on training data but poorly on new data
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C
The model is not being trained at all
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D
The model has too many features
10
What is 'reinforcement learning' best described as?
-
A
Learning by watching others
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B
Learning through feedback from actions (rewards and penalties)
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C
Learning from a textbook
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D
Learning without any interaction
11
Which company developed the AlphaGo program, which famously defeated a Go world champion?
-
A
Microsoft
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B
Google
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C
IBM
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D
Meta
12
What is a 'dataset' in Machine Learning?
-
A
A single piece of information
-
B
A collection of related data used for training or testing
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C
A computer program
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D
An algorithm
13
Which of these is a common algorithm used in Supervised Learning for classification tasks?
-
A
K-Means Clustering
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B
Linear Regression
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C
Decision Trees
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D
Principal Component Analysis (PCA)
14
What is the primary purpose of 'testing' a machine learning model?
-
A
To train the model further
-
B
To see how well it performs on unseen data
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C
To explain how it works to others
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D
To identify bugs in the code
15
Which area of AI deals with enabling computers to 'see' and interpret visual information from the world?
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A
Natural Language Processing
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B
Robotics
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C
Computer Vision
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D
Expert Systems
16
What is a 'chatbot' an example of?
-
A
Computer Vision
-
B
Robotics
-
C
Natural Language Processing (NLP)
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D
Data Mining
17
What is the term for a machine learning model that is too simple and fails to capture the underlying trends in the data?
-
A
Overfitting
-
B
Underfitting
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C
Bias
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D
Variance
18
What kind of data does 'unsupervised learning' typically use?
-
A
Labeled data
-
B
Unlabeled data
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C
Reward signals
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D
Textual data only
19
Which AI technology powers virtual assistants like Siri or Alexa?
-
A
Computer Vision
-
B
Robotics
-
C
Natural Language Processing (NLP)
-
D
Expert Systems
20
What is the process of selecting which features from a dataset to use for training an ML model called?
-
A
Data Cleaning
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B
Model Deployment
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C
Feature Engineering
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D
Data Visualization
21
In ML, what is 'bias' often related to?
-
A
The randomness of the model
-
B
The model's assumptions about the data
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C
The speed of the algorithm
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D
The size of the dataset
22
What is a simple example of an AI system that plays a game?
-
A
A calculator
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B
A word processor
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C
A chess-playing program
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D
A spreadsheet
23
Which type of learning involves an agent learning to make a sequence of decisions to achieve a goal?
-
A
Supervised Learning
-
B
Unsupervised Learning
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C
Reinforcement Learning
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D
Transfer Learning
24
What is the role of an 'algorithm' in Machine Learning?
-
A
To store the data
-
B
To process the data and learn patterns
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C
To display the results
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D
To power the computer's hardware
25
What does the 'M' in ML stand for?
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A
Machine
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B
Mathematical
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C
Model
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D
Management
