A.IOlympiad Exam Instructions: Exam Format: Multiple-Choice Duration: 1 hours General Instructions: Materials: You are allowed to have with you during the exam, as specified by your instructor. Communication: You are not allowed to communicate with any other person during the exam. This includes talking, texting, or using any messaging apps. Technology: Ensure a stable internet connection and use a compatible browser. Make sure your device's battery is fully charged or plugged in. Plagiarism: Any form of plagiarism or cheating is strictly prohibited. This includes copying from external sources or using unauthorized aids. Browser Tabs: Please close all unnecessary browser tabs or windows, as the exam may be monitored. Exam Specifics: Question Format: This exam consists of multiple-choice questions. Number of Questions: There are a total of 36 questions in this exam. Scoring: Basic Section question is worth 2 points and Performer Section is worth 4 Points. The total exam score is 80. Submission: Once you answer all questions, click the "Submit" button to finalize your answers. Navigation: You can navigate between questions using the provided navigation buttons Please follow these instructions carefully during the online exam. If you have any concerns or technical issues, contact the designated support person or email address provided for assistance. Good luck! 1. What does 'transfer learning' involve in machine learning? A) Learning from one model and applying it to a different but related problem B) Training a model from scratch for every new task C) Transferring data from one database to another D) Learning without any data None 2. Which of the following is a subset of AI? A) Machine Learning B) Data Analysis C) Database Management D) Network Security None 3. What does the term 'algorithm' refer to in the context of AI? A) A programming language B) A step-by-step procedure for solving a problem C) A type of hardware D) A data structure None 4. Which of the following is an application of AI in everyday life? A) Weather forecasting B) Spell checking C) Voice assistants (like Siri or Alexa) D) All of the above None 5. What is the primary purpose of a neural network? A) To store data B) To simulate human brain functions C) To connect different devices D) To analyze large datasets None 6. Which of these techniques is commonly used for image recognition? A) Decision Trees B) Convolutional Neural Networks (CNNs) C) Linear Regression D) Support Vector Machines None 7. In natural language processing, what does 'tokenization' refer to? A) Encrypting data B) Breaking text into smaller units (tokens) C) Summarizing text D) Translating languages None 8. What is the Turing Test used for? A) To test computer hardware B) To measure intelligence in animals C) To evaluate a machine's ability to exhibit intelligent behavior D) To assess programming skills None 9. Which of the following is NOT a common programming language used in AI? A) Python B) Java C) HTML D) R None 10. What is supervised learning ? A) Learning without labeled data B) Learning using labeled data C) Learning that occurs in a supervised environment D) Learning through reinforcement None 11. Which AI technique uses reward and punishment to learn? A) Supervised Learning B) Unsupervised Learning C) Reinforcement Learning D) Deep Learning None 12. Which of the following is a feature of deep learning? A) It uses shallow neural networks. B) It requires less data than traditional machine learning. C) It uses multiple layers of neural networks. D) It is primarily rule-based. None 13. What does the term 'big data' refer to? A) Small amounts of data B) Data that is too large or complex for traditional data processing C) Data that is easy to analyze D) Data stored in spreadsheets None 14. In the context of AI, what does 'overfitting' mean? A) The model learns too little from the data. B) The model learns too much from the training data and performs poorly on unseen data. C) The model generalizes well. D) The model is too simple None 15. Which of the following is an ethical concern related to AI? A) Job displacement B) Data privacy C) Bias in decision-making D) All of the above None 16. What is the primary function of a chatbot? A) To play games B) To interact with users in natural language C) To store information D) To process images None 17. Which of the following statements about AI is true? A) AI can think independently. B) AI systems require human intervention to learn. C) AI cannot outperform humans in any task. D) AI is only useful for technical applications None 18. What does 'data preprocessing' involve? A) Analyzing data trends B) Cleaning and organizing raw data for analysis C) Storing data securely D) Visualizing data None 19. Which of the following is an example of unsupervised learning? A) Classification B) Clustering C) Regression D) Prediction None 20. What role do 'features' play in machine learning? A) They are the labels for the data. B) They are the input variables used to make predictions. C) They are the outputs of the model. D) They represent the model's performance None 21. Which of the following algorithms is commonly used for classification tasks? A) K-Means Clustering B) Linear Regression C) Decision Trees D) Principal Component Analysis None 22. What is a 'training set' in machine learning? A) Data used to evaluate model performance B) Data used to train the model C) Data that is irrelevant to the model D) Data used for real-time predictions None 23. What is the significance of 'training' in AI models? A) It helps to collect data. B) It optimizes the model to perform specific tasks. C) It tests the model’s accuracy. D) It reduces data size. None 24. Which of the following is a method for reducing overfitting? A) Increasing model complexity B) Using more training data C) Decreasing the size of the training set D) Ignoring validation data None 25. In AI, what does 'model accuracy' refer to? A) The speed of the model B) The percentage of correct predictions made by the model C) The complexity of the model D) The number of features used None 26. Which of the following can be a source of bias in AI? A) Skewed training data B) Lack of diversity in training data C) Human error in data labeling D) All of the above None 27. What does 'natural language processing' enable machines to do? A) Understand and respond to human languages B) Process images C) Control robotic movements D) Store large datasets None 28. Which of the following is an example of a reinforcement learning application? A) Image recognition B) Playing video games C) Text translation D) Stock market prediction None 29. What is the main objective of clustering algorithms? A) To classify data into predefined categories B) To group similar data points together C) To predict future values D) To reduce data dimensionality None 30. What is 'feature selection' in machine learning? A) Selecting the right algorithm B) Choosing the most relevant variables to use in model training C) Deciding on the data size D) None of the above None 31. Which of the following technologies is often used in autonomous vehicles? A) Computer Vision B) Blockchain C) Augmented Reality D) 3D Printing None 32. What is a 'hyperparameter' in machine learning? A) A parameter set during the training process B) A configuration that is set before the learning process begins C) A parameter that does not affect model performance D) A variable that changes during training None 33. Which AI system is known for playing complex games like Go? A) IBM Watson B) AlphaGo C) Siri D) Alexa None 34. What does the 'confusion matrix' measure in machine learning? A) The performance of a classification model B) The complexity of the model C) The amount of data processed D) The speed of predictions None 35. What is the role of 'validation' in model training? A) To train the model B) To test the model's performance on unseen data C) To collect new data D) To refine the algorithm None 36. Which of the following describes a 'chatbot'? A) A robot that can perform physical tasks B) A computer program designed to simulate conversation with human users C) An AI that can play board games D) A software tool for managing databases None You cannot switch tabs while taking this quiz!You are not allowed to switch tabs violation has been recorded.You cannot minimize full screen mode!You are not allowed to minimize full screen while taking this quiz, violation has been recorded.Access denied! To begin the quiz, please grant this quiz access to your camera.
