When executing machine learning notebooks in SAP Databricks, do the results leave the Business Data Cloud?

The correct answer is that the results stay within the SAP environment when executing machine learning notebooks in SAP Databricks. This is a critical aspect of SAP's commitment to data security and privacy, particularly when it comes to sensitive business data. By ensuring that results do not leave the Business Data Cloud, SAP protects data integrity and complies with data governance standards.

This approach allows organizations to leverage advanced analytics and machine learning capabilities while keeping their data contained and secure within the SAP ecosystem. Such a containment strategy not only mitigates risks associated with data breaches but also fosters an environment where data can be utilized effectively for insights without compromising on security.

In contrast, the other options imply scenarios that would potentially expose results outside the controlled SAP environment, which contradicts SAP's design philosophy aimed at protecting customer data and ensuring compliance with regulations.