About this event
Data Science & AI (added for 2025-26) covers probability and statistics, data analysis for AI, data and AI tools, AI basics, machine learning, perception, representation, and reasoning, data literacy, and privacy and ethics. How it runs: this is an individual objective test and nothing else. You take a proctored, online test of 100 multiple-choice questions in 50 minutes. Study materials are not allowed, and a calculator is built into the testing platform. Each correct answer is worth one point with no penalty for wrong answers, and your test score is your result.
FormatObjective Test
Duration50-minute online test, 100 multiple-choice questions
Solo or teamIndividual
CategoryInformation Technology
Your plan
How to study
Built from the official topic outline. Take the check and read every lesson here with no account; a free account keeps your progress and opens flashcards, practice and full tests.
Find your weakest area
Take the 8-question check below: one question from each of the 8 areas. It tells you where to start.
Start the checkLearn every area
Every area of the official topic outline is below. Each has a short lesson, flashcards and practice, plus free reading.
See the areasPractice until every bar is full
Practice gives you one question at a time and leans toward the areas you miss. Your readiness meter fills as you get them right in every area.
PracticeTake a full test at the real pace
100 questions in 50 minutes, the official length. Your readiness meter counts your last 3 full tests from the past 30 days, and 90% fills each one.
Take a practice test
The areas of the test
Probability and Statistics Foundations
- Book · OpenStaxIntroductory Statistics 2e, 3.1: Terminology (probability) (opens in a new tab)
- Course · Khan AcademyKhan Academy: Statistics and Probability, Unit 7: Probability (opens in a new tab)
- Video · CrashCourseCrashCourse: Probability Part 1: Rules and Patterns (Crash Course Statistics #13) (opens in a new tab)
Data Analysis and Statistics for AI
Tools for Data and AI
- Book · OpenStaxPrinciples of Data Science, 1.4: Using Technology for Data Science (opens in a new tab)
- Book · OpenStaxPrinciples of Data Science, 1.5: Data Science with Python (opens in a new tab)
- Reference · Python Software FoundationPython Tutorial (official Python documentation) (opens in a new tab)
AI Basics
- Video · CrashCourseCrashCourse: What Is Artificial Intelligence? (Crash Course AI #1) (opens in a new tab)
- Course · Microsoft LearnMicrosoft Learn: Introduction to AI concepts (module) (opens in a new tab)
- Book · OpenStaxWorkplace Software and Skills, 15.7: New Developments: The Role of Artificial Intelligence (opens in a new tab)
Machine Learning
Perception, Representation, and Reasoning
Privacy and Ethics
- Book · OpenStaxPrinciples of Data Science, 8.1: Ethics in Data Collection (opens in a new tab)
- Book · OpenStaxFoundations of Information Systems, 12.3: Ethics of Artificial Intelligence Development and Machine Learning (opens in a new tab)
- Reference · NISTNIST AI Risk Management Framework (opens in a new tab)
Data Literacy and Foundations
- Book · OpenStaxPrinciples of Data Science, 1.3: Data and Datasets (opens in a new tab)
- Book · OpenStaxIntroductory Statistics 2e, 1.2: Data, Sampling, and Variation in Data and Sampling (opens in a new tab)
- Book · OpenStaxIntroductory Statistics 2e, 1.1: Definitions of Statistics, Probability, and Key Terms (opens in a new tab)
Free reading comes from open textbooks, government health and business sites, free courses and professional associations, never a copy of a book or a test. Every link was checked on November 9, 2026.
Start here
Find your weakest area
8 questions, one from each of the areas of the Data Science & AI test. Each one is graded the moment you answer, with the reason, and the last screen tells you which area to study first. No account needed.
Test day
What to expect
50 minutes, 100 questions
You have 50 minutes to answer 100 multiple-choice questions. Each correct answer is worth one point and there is no penalty for wrong answers, so always fill in your best guess.
Machine-scored
Tests are machine-scored. Questions are drawn from the official FBLA topic outline for this event, across all of its topic areas. Expect a mix of recall (definitions, formulas), application (scenario-based), and analysis questions.
Top scorers advance
Top finishers at regionals advance to states, and top finishers at states qualify for the National Leadership Conference (NLC). How many advance depends on your state's rules. Study the official FBLA topic outline, which lists the subject areas the test covers.
Test format
- Time limit50 minutes
- Questions100 multiple choice
- OptionsA, B, C, D, one correct
- GuessingNo penalty, always answer
- CalculatorBuilt into the test
- IndividualSolo event
Competition levels: Regional Leadership Conference, then State Leadership Conference, then National Leadership Conference
Guidelines and resources
Bookmark to saveCurated by ChapterPrep. Free unless noted. External links open in a new tab.