How does Entity Framework handle data synchronization issues in a distributed system?
- By implementing a pessimistic locking strategy
- By incorporating a conflict detection mechanism
- By relying on eventual consistency principles
- By utilizing optimistic concurrency control mechanisms
Entity Framework typically employs optimistic concurrency control mechanisms to handle data synchronization in distributed systems. This means that it assumes that conflicts are rare and allows multiple transactions to operate concurrently. However, it detects conflicts during the process of saving changes and resolves them appropriately.
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