Which feature supports sandbox testing in the Einstein Trust Layer?

The feature that supports sandbox testing in the Einstein Trust Layer is Data Cloud integration. This integration allows users to create a controlled environment where they can safely conduct tests without affecting the actual production data or processes. By leveraging Data Cloud, organizations can simulate real-world scenarios, assess potential changes to AI models, and ensure that any modifications made during testing are effective and secure.

Data Cloud integration provides a way to access and manipulate data in a sandbox environment, making it essential for organizations looking to innovate while maintaining the integrity of their production systems. It acts as a bridge between the testing environment and live data, which is crucial for testing AI models and ensuring that they perform well with actual datasets when deployed.

The other options provided do not specifically relate to the capabilities required for sandbox testing within the Einstein Trust Layer. AI model updates deal with the improvements in algorithms, data retention policies govern how long data is kept, and comprehensive user access pertains to security and permissions rather than the testing environment itself.