Which type of cell can be used to document and comment on a process in a Jupyter notebook?

Using a Markdown cell in a Jupyter notebook is the correct choice for documenting and commenting on a process. Markdown allows users to incorporate formatted text, headings, lists, links, images, and more, making it an ideal tool for enhancing the readability and organization of the notebook. This is particularly valuable for explaining concepts, describing steps in an analysis, or providing context for code that follows.

Markdown cells are essential for anyone who wishes to share their work, as they help bridge the gap between code execution and explanations, enabling others to better understand the workflow and rationale behind the coding process. In contrast, a Code cell is meant for writing and executing actual code. Output cells are generated from code execution and display results but do not allow for commentary. Raw cells display text as-is without formatting and are not generally used for documentation purposes. Therefore, the use of a Markdown cell is paramount for providing context and commentary within the structure of a Jupyter notebook.