Azure Data Scientists Associate Practice Exam

What is a key benefit of converting notebook code into a script for production workloads?

1. Decreases code readability

2. Allows for easier version control

3. Ensures better performance in Jupyter

4. Facilitates collaborative editing

The correct answer is: Allows for easier version control

Converting notebook code into a script for production workloads primarily benefits version control. Scripts are more straightforward to track, manage, and integrate into version control systems like Git. This allows data scientists and developers to maintain a history of changes, collaborate more effectively, and manage updates through a clear versioning system. Scripts can be tagged, branched, and merged without the additional complexities that come with notebook structures, which often embed visual outputs and metadata that can complicate this process. In contrast to scripts, notebooks may introduce challenges in tracking changes, especially when they involve graphical outputs or multiple code cells that might not easily reflect the state of the code base. Hence, using scripts streamlines workflows and enhances best practices in software development.