The question requires converting a Jupyter Notebook to a production Python script while minimizing code maintenance. Option A (Refactor the Jupyter Notebook code into functions) is correct because it modularizes the code, making it reusable, testable, and easier to maintain. Option C (Define a main() function in the Python script) is correct as it provides a clear entry point for execution, ensuring the script runs predictably in production environments and follows Python best practices. Option B (Save each function to a separate Python file) is not ideal here as it could overcomplicate the structure for a single script conversion, potentially increasing maintenance. Option D (Remove all comments and functions) is incorrect because it would make the code harder to understand and maintain, contradicting the goal of minimizing maintenance.