What does automated management of Oracle Autonomous Data Warehouse include?

The automated management of Oracle Autonomous Data Warehouse encompasses a comprehensive set of tasks designed to optimize performance, reliability, and ease of use. This includes provisioning new instances, which allows users to create and configure new data warehouses with minimal manual intervention, ensuring a quick and efficient setup.

Additionally, automated scaling is a key feature, enabling the system to dynamically adjust resources based on workload demands. This ensures that performance remains consistent even during varying levels of data processing.

Patching is also included in the automation processes. This refers to the automatic application of updates and security patches to the software, which maintains system integrity and keeps it up-to-date without requiring user involvement.

Lastly, automated backup and recovery processes are crucial for data protection. These functions ensure that data is regularly backed up, minimizing the risk of loss and facilitating quick recovery in the event of failure or corruption.

The combination of all these features means that Oracle Autonomous Data Warehouse provides a robust platform that handles many aspects of data management seamlessly, allowing users to focus on data insights rather than database maintenance. This extensive automation is what makes option B the correct answer.