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. Which of the following best describes Artificial Intelligence? A) Programming computers to make exact human decisions B) Machines mimicking cognitive functions associated with human minds C) Robots replacing human labor in factories D) Computers performing arithmetic operations faster than humans None 2. Which of the following is NOT a subfield of AI? A) Machine Learning B) Natural Language Processing C) Quantum Computing D) Computer Vision None 3. What is the purpose of AI Ethics? A) To enhance the computational speed of AI systems B) To ensure AI systems are profitable C) To address moral and ethical issues arising from AI applications D) To define the hardware requirements for AI systems None 4. Which historical event significantly boosted AI research in the 21st century? A) The invention of the transistor B) The launch of Sputnik C) The development of deep learning algorithms D) The dot-com bubble burst None 5. What does "narrow AI" refer to? A) AI systems designed for a specific task B) AI systems with limited processing power C) AI systems that can perform any intellectual task a human can D) AI systems that fail Turing tests None 6. The AI principle that emphasizes AI systems should not harm humans is inspired by whose laws? A) Isaac Newton B) Albert Einstein C) Isaac Asimov D) Stephen Hawking None 7. Strong AI" aims to achieve what? A) AI systems that can perform only specific tasks B) AI systems with human-like consciousness C) AI systems with enhanced computational speed D) AI systems limited to data analysis None 8. Which of the following is a primary concern regarding AI ethics? A) The cost of AI hardware B) The speed of data processing C) Bias in AI algorithms D) The color of AI devices None 9. Which decade experienced the "AI Winter" due to reduced funding and interest? 1950s 1960s 1970s 1980s None 10. Which of the following is NOT an ethical concern in AI? A) Data privacy B) Algorithm transparency C) Battery life of devices D) Job displacement None 11. What is "machine learning" in the context of AI? A) Machines learning to repair themselves B) The study of mechanical engineering C) Algorithms allowing machines to learn from data D) Physical training of robots None 12. What is the first phase of the AI Project Cycle? A) Data Exploration B) Modelling C) Problem Scoping D) Data Acquisition None 13. Which phase involves collecting relevant data for the AI project? Problem Scoping Data Acquisition Modelling Evaluation None 14. During which phase do we analyze the data to find patterns and insights? A) Data Exploration B) Problem Scoping C) Deployment D) Data Acquisition None 15. Building and training AI models is part of which phase? A) Problem Scoping B) Data Exploration C) Modelling D) Data Acquisition None 16. Which of the following is essential during Problem Scoping? A) Gathering vast amounts of data B) Defining the objectives and constraints C) Deploying the AI model D) Cleaning the dataset None 17. In Data Acquisition, which of the following is NOT a data source? A) Surveys B) Sensor readings C) Random guessing D) Web scraping None 18. What is the purpose of Data Exploration? A) To delete irrelevant data B) To visualize and understand data patterns C) To deploy the AI model D) To write final reports None 19. Overfitting in modelling refers to what? A) A model performing well on training data but poorly on new data B) A model that is too simple C) Data that doesn't fit in memory D) Hardware malfunction None 20. Which of the following is a common data preprocessing step? A) Ignoring missing values B) Normalizing data C) Randomly shuffling the model D) Deploying without testing None 21. 16. In the AI Project Cycle, what comes after Modelling? A) Problem Scoping B) Data Acquisition C) Evaluation D) Data Exploration None 22. 16. Why is Evaluation important in AI projects? A) To collect more data B) To assess the performance and accuracy of the model C) To delete unnecessary code D) To increase the project's budget None 23. 16. Which metric is commonly used to evaluate classification models? A) Mean Squared Error B) Accuracy C) R-squared D) Mean Absolute Error None 24. 16. In which phase would you use tools like TensorFlow or PyTorch? A) Data Acquisition B) Modelling C) Problem Scoping D) Data Exploration None 25. 16. What is the final phase in the AI Project Cycle? A) Data Exploration B) Deployment C) Data Acquisition D) Modelling None 26. 16. What is a Neural Network inspired by? A) The human brain's network of neurons B) Electrical circuits C) The internet's structure D) Solar system's arrangement None 27. 16. Which layer in a Neural Network receives the initial input data? A) Hidden layer B) Output layer C) Input layer D) Processing layer None 28. 16. What is the function of activation functions in Neural Networks? A) To deactivate certain neurons B) To introduce non-linearity into the network C) To increase computational speed None 29. 16. Which of the following is a commonly used activation function? A) Linear B) ReLU (Rectified Linear Unit) C) Binary D) Quadratic None 30. 16. What does "training" a Neural Network involve? A) Feeding it with data and adjusting weights based on errors B) Assembling hardware components C) Designing the network's physical layout D) Cooling the system to optimal temperatures None 31. Convolutional Neural Networks are especially good at which tasks? A) Text translation B) Image and video recognition C) Numerical calculations D) Database management None 32. 16. Which type of Neural Network is suitable for sequence data like text? A) Feedforward Neural Network B) Convolutional Neural Network C) Recurrent Neural Network D) Radial Basis Function Network None 33. 16. What does the term "deep" in Deep Learning refer to? A) The depth of the ocean B) Neural Networks with multiple layers C) The philosophical depth of AI D) Data stored deep underground 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.