You have a Jupyter Notebook that contains Python code that is used to train a model.
You must create a Python script for the production deployment. The solution must minimize code maintenance.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. Refactor the Jupyter Notebook code into functions

B. Save each function to a separate Python file

C. Define a main() function in the Python script

D. Remove all comments and functions from the Python script








 

Suggested Answer: AC

C: Python main function is a starting point of any program. When the program is run, the python interpreter runs the code sequentially. Main function is executed only when it is run as a Python program.
A: Refactoring, code style and testing
The first step is to modularise the notebook into a reasonable folder structure, this effectively means to convert files from .ipynb format to .py format, ensure each script has a clear distinct purpose and organise these files in a coherent way.
 
Once the project is nicely structured we can tidy up or refactor the code.
Reference: alt="Reference Image" />
Once the project is nicely structured we can tidy up or refactor the code.
Reference:
https://www.guru99.com/learn-python-main-function-with-examples-understand-main.html
 https://towardsdatascience.com/from-jupyter-notebook-to-deployment-a-straightforward-example-1838c203a437

This question is in DP-100 Exam
For getting Microsoft Azure Data Scientist Associate Certificate


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