What challenges may arise from cross-region reads and writes in Databricks?

The challenges of cross-region reads and writes in Databricks primarily relate to cost and latency. When data is accessed from one region to another, the network latency can introduce delays in data retrieval and processing times, which is particularly crucial for real-time or time-sensitive applications. Furthermore, from a cost perspective, transferring data across geographic regions can lead to increased costs due to data egress fees and the potential need for higher throughput that can further escalate expenses.

This context emphasizes why managing data across regions must be carefully considered, especially for applications that demand performance efficiency and cost-effectiveness. The other options, while they may be relevant in different contexts, do not directly address the core challenges associated with cross-region data operations in Databricks as clearly as the increase in cost and latency.