Artificial Intelligence Quiz

What is the main difference between data-driven and rule-based approaches in AI?

• Rule-based systems learn from data while data-driven systems follow predefined rules

• Rule-based systems follow predefined rules, while data-driven systems learn from data

• Both approaches rely solely on large datasets

• Neither approach requires programming

Which of the following is NOT an example of an AI application?

• A chatbot that helps customers

• A spreadsheet using formulas to calculate expenses

• A recommendation system on a streaming platform

• A self-driving car

What is a key benefit of AI applications?

• They always make perfect decisions

• They can automate repetitive tasks efficiently

• They replace human intelligence completely

• They do not require any training

How is machine learning related to artificial intelligence?

• It is a type of AI that allows computers to learn from data

• It is unrelated to AI

• It replaces AI completely

• It is used only in robotics

Which of the following is NOT a common approach to machine learning?

• Supervised Learning

• Unsupervised Learning

• Reinforcement Learning

• Rule-Based Learning

What is an example of classification using supervised learning?

• Grouping books into different genres using labeled data

• Letting an AI program generate new images

• Teaching a robot to walk without prior instructions

• Using a formula to calculate tax payments

Why is training data important in machine learning?

• It helps the model learn patterns to make accurate predictions

• It is used to replace programming in AI

• It ensures the AI will never make mistakes

• It is unnecessary in deep learning models

How can bias influence machine learning predictions?

• It improves the accuracy of the model

• It can cause unfair or incorrect results based on flawed data

• It makes the model faster

• It has no effect on the model’s decision-making

How does training data change a machine learning model?

• It refines the model’s ability to recognize patterns and make predictions

• It prevents the model from learning new patterns

• It automatically removes errors in the dataset

• It replaces test data completely

Which of these AI technologies relies on machine learning for classification?

• A weather forecasting app based on static formulas

• A spam filter that learns to recognize spam emails

• A simple calculator performing basic arithmetic

• A file management system for organizing folders