Which synchronization pattern is characterized by allowing data to be read with conflict detection?

The synchronization pattern that allows data to be read with conflict detection is characterized by its ability to handle scenarios where multiple users may attempt to modify data simultaneously. This pattern ensures that when data is read for updating, the system checks for any changes made by other users during the read operation. If a conflict is detected, the system can prevent overwriting changes inadvertently, thus maintaining data integrity.

The chosen option reflects a proactive approach to managing concurrent data access. It typically provides mechanisms to alert users to conflicts and may allow for resolution strategies, which can enhance user experience by ensuring that users are informed if their changes may not take effect as intended.

In contrast, the other choices represent different ways of handling data. Read-Write Data - Last Write Wins does not provide conflict detection; instead, it simply accepts the most recent write, potentially disregarding other important updates. Read-Only Data conveys that the data cannot be modified at all, removing the need for conflict detection since no writes occur. Lastly, Read-Only Data - optimized suggests that the data is accessible for reading but does not address how writing or conflict scenarios are managed, which are central to the concept of synchronization in collaborative environments.