What aspect of Alibaba Cloud's architecture primarily supports data integrity?

The choice of distributed data management as the correct answer highlights its crucial role in maintaining data integrity within Alibaba Cloud's architecture. Distributed data management involves the organization and storage of data across multiple locations or nodes rather than in a single centralized system. This approach not only enhances data availability but also strengthens data consistency and accuracy.

When data is distributed across various locations, systems can implement mechanisms such as replication and synchronization that help keep the data consistent. This means that even if one node experiences issues, other nodes can ensure that the data remains intact and reliable. Furthermore, distributed systems often incorporate checks and balances to verify data integrity during transactions, reducing the chances of corruption or loss.

In contrast, options such as application isolation, reliance on a single data center, and minimal data duplication do not directly address the broader issue of data integrity as effectively. Application isolation focuses on keeping applications separate to prevent interference but does not guarantee that the data itself is accurate or uncorrupted. Relying on a single data center poses risks such as a single point of failure, which can jeopardize data integrity. Lastly, while minimal data duplication can reduce redundancy and storage costs, it does not inherently enhance the accuracy or reliability of the data. Therefore, distributed data management is the most effective