#1. What does AI stand for in the context of computer science? Artificial Intelligence (AI) Artificial Intelligence (AI) Advanced Intelligence (AI) Advanced Intelligence (AI) Automated Intelligence (AI) Automated Intelligence (AI) Algorithmic Intelligence (AI) Algorithmic Intelligence (AI) Augmented Intelligence (AI) Augmented Intelligence (AI) #2. Which branch of AI focuses on creating systems that can learn and improve from experience? Machine Learning Machine Learning Expert Systems Expert Systems Natural Language Processing Natural Language Processing Neural Networks Neural Networks Robotics Robotics #3. What type of AI system mimics human thought processes and can reason and make decisions? Strong AI Strong AI Narrow AI Narrow AI Weak AI Weak AI General AI General AI Deep AI Deep AI #4. Which programming language is commonly used for AI development and research? Python Python Java Java C++ C++ Ruby Ruby JavaScript JavaScript #5. What is the purpose of a neural network in AI? To process information and learn patterns To process information and learn patterns To execute complex algorithms To execute complex algorithms To translate languages To translate languages To store large datasets To store large datasets To simulate human emotions To simulate human emotions Download as PDF #6. Which AI technique involves training a model to perform a task without using explicit programming instructions? Machine Learning Machine Learning Expert Systems Expert Systems Natural Language Processing Natural Language Processing Genetic Algorithms Genetic Algorithms Neural Networks Neural Networks #7. What is the Turing Test used for in AI? To determine if a machine's behavior is indistinguishable from a human's To determine if a machine's behavior is indistinguishable from a human's To assess processing speed To assess processing speed To measure memory capacity To measure memory capacity To evaluate energy efficiency To evaluate energy efficiency To test network connectivity To test network connectivity #8. Which AI application is used to enable machines to understand, interpret, and generate human-like text? Natural Language Processing Natural Language Processing Computer Vision Computer Vision Robotics Robotics Expert Systems Expert Systems Machine Learning Machine Learning #9. What is the primary goal of reinforcement learning in AI? To make a sequence of decisions by interacting with an environment To make a sequence of decisions by interacting with an environment To recognize patterns in data To recognize patterns in data To process natural language To process natural language To simulate human reasoning To simulate human reasoning To create virtual reality To create virtual reality #10. Which AI technique involves training algorithms to improve their performance iteratively using labeled data? Supervised Learning Supervised Learning Unsupervised Learning Unsupervised Learning Reinforcement Learning Reinforcement Learning Deep Learning Deep Learning Semi-Supervised Learning Semi-Supervised Learning Download as PDF #11. What is the main challenge of AI known as "Common Sense Reasoning"? Teaching AI systems to understand everyday situations and contexts Teaching AI systems to understand everyday situations and contexts Enhancing computational speed Enhancing computational speed Improving accuracy Improving accuracy Enabling emotional intelligence Enabling emotional intelligence Implementing security protocols Implementing security protocols #12. Which AI approach focuses on creating algorithms that can perform tasks without being explicitly programmed? Machine Learning Machine Learning Expert Systems Expert Systems Genetic Algorithms Genetic Algorithms Neural Networks Neural Networks Deep Learning Deep Learning #13. What is the purpose of natural language processing (NLP) in AI? To enable machines to understand and generate human language To enable machines to understand and generate human language To recognize patterns in images To recognize patterns in images To process numerical data To process numerical data To simulate human emotions To simulate human emotions To execute complex algorithms To execute complex algorithms #14. Which AI technique is inspired by the structure and functioning of the human brain? Neural Networks Neural Networks Genetic Algorithms Genetic Algorithms Expert Systems Expert Systems Machine Learning Machine Learning Reinforcement Learning Reinforcement Learning #15. What is the concept of AI that involves systems capable of understanding and responding to human emotions? Affective Computing Affective Computing Deep Learning Deep Learning Natural Language Processing Natural Language Processing Machine Learning Machine Learning Expert Systems Expert Systems Download as PDF #16. What is the primary goal of computer vision in AI? To enable machines to interpret and understand visual information To enable machines to interpret and understand visual information To recognize human emotions To recognize human emotions To generate human-like text To generate human-like text To understand natural language To understand natural language To perform complex calculations To perform complex calculations #17. Which AI technique is used to identify and analyze patterns in large datasets? Data Mining Data Mining Natural Language Processing Natural Language Processing Expert Systems Expert Systems Neural Networks Neural Networks Genetic Algorithms Genetic Algorithms #18. What is the term for AI systems that can make decisions and take actions without human intervention? Autonomous AI Autonomous AI Intelligent AI Intelligent AI Independent AI Independent AI Automated AI Automated AI Self-Driving AI Self-Driving AI #19. Which AI approach involves simulating human-like intelligence and decision-making processes in machines? Cognitive Computing Cognitive Computing Expert Systems Expert Systems Reinforcement Learning Reinforcement Learning Neural Networks Neural Networks Machine Learning Machine Learning #20. What is the technique of allowing AI systems to learn from their mistakes and improve their performance over time? Reinforcement Learning Reinforcement Learning Supervised Learning Supervised Learning Unsupervised Learning Unsupervised Learning Deep Learning Deep Learning Genetic Algorithms Genetic Algorithms Download as PDF Next Results Download as PDF Download as PDF Download as PDF Share this:Click to share on Facebook (Opens in new window)Click to share on Telegram (Opens in new window)Click to share on WhatsApp (Opens in new window)
