7. How can lor and Al enhance precision farming in agriculture? a. By avoiding real-time data collection b. By providing insights into soll health and crop conditions c. Excluding machine learning algorithms d. Ignoring weather forecasts a. Why is protecting user privacy particularly crucial in Al applications such as facial recognition? a. To encourage indiscriminate data sharing b. To prevent misuse and surveillance without consent c. To prioritize public accessibility of facial data d. To avoid accuracy in facial recognition models 9. Which of the following are subdomains of Al? a. Machine learning b. Deep learning c. Neural networks d. All the above 10. How does ensemble learning differ from using a single model? a. Ensemble learning relies solely on one model for predictions. b. Ensemble learning avoids combining multiple models. c. Ensemble learning combines predictions from multiple models to make a final predictic 1. d. Ensemble learning prioritizes model simplicity over accuracy. 11. What is Scikit-learn primarily used for? a. Data visualization b. Machine learning model creation c. Real-time data streaming d. Image processing 12. What does PMBOK stand for in the context of project management? a. Project Management Body of Knowledge b. Personal Management Basics of Knowledge c. Project Management Book of Knowledge d. Professional Management and Business Operations Knowledge 3. Which of the following is not a deep learning framework? 2. TensorFlow . Keras . PyTorch NumPy How does "Hard Voting"differ from "Soft Voting"in a Voting Classifier? Hard Voting considers only one model's prediction, while Soft Voting considers predictions from all els. Hard Voting makes a decision based on a majority vote, while Soft Voting considers the confidence of model. oth Hard Voting and Soft Voting involve the same decision-making process. oft Voting relies on a single model, while Hard Voting considers predictions from all models. Page 2 of 4