1) In machine learning, what is Overfitting? a) When a model performs well on training data but poorly on unseen data b) When a model is too simple to capture patterns in data c) When a model is trained on too little data and cannot generalize d) When a model reaches 100% accuracy on both training and test data 2) What is the purpose of Activation Functions in neural networks?Which of the following AI coding assistants is NOT from a hyperscaler (Google, AWS, Microsoft)? a) GitHub Copilot b) Gemini c) CursorAI d) Code Whisperer 3) What is the key difference between Supervised and Unsupervised Learning? a) Supervised learning requires labeled data, while unsupervised learning does not b) Unsupervised learning is always faster than supervised learning c) Supervised learning works only for numerical data, whereas unsupervised learning works only for categorical data d) Unsupervised learning cannot be used for real-world applications 4) Which company developed the first quantum computer that claimed quantum supremacy? a) IBM b) Google c) Microsoft d) Intel 5) Which of the following statements about Decision Trees is true? a) Decision Trees always produce perfect classification results b) Decision Trees split data based on features to create a tree-like structure for decision-making c) Decision Trees cannot be used for regression tasks d) Decision Trees require deep learning techniques to function 6) In Natural Language Processing (NLP), what is the purpose of Word Embeddings? a) To convert words into numerical representations that capture their meaning and relationships b) To translate text from one language to another c) To clean text data by removing stopwords and punctuation d) To create decision trees for text classification 7) Which of the following methods is used to handle missing data in a dataset? a) Deleting rows with missing values b) Replacing missing values with the mean, median, or mode c) Using machine learning models to predict missing values d) All of the above 8) What does "algorithmic transparency" in AI ethics refer to? a) Ensuring the AI's code is open source. b) The ability to understand how an AI system makes decisions c) Making sure AI algorithms are easy to implement. d) Guaranteeing that AI systems always provide accurate results. 9) Bias in AI systems arises from a) Using very large datasets for training. b) b) The inherent complexity of AI algorithms c) Skewness present in the data used to train the AI. d) The programming language used to develop the AI. 10) Who is credited with inventing the internet? a) Tim Berners-Lee and Bob Kahn b) Vint Cerf and Bob Kahn c) Steve Jobs and Bob Kahn d) Bill Gates and Vint Cerf

Developer Lab Quiz 2

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