When using Entity Framework, how can you handle concurrency conflicts when updating data?
- Enable automatic conflict resolution by configuring the framework to resolve conflicts based on predefined rules.
- Implement optimistic concurrency control by checking for changes made to rows during the update process.
- Manually resolve conflicts by prompting the user to choose the desired version of the data during the update.
- Use pessimistic concurrency control by locking the rows to prevent other users from modifying them simultaneously.
In Entity Framework, handling concurrency conflicts during data updates involves implementing optimistic concurrency control. This approach involves checking for changes made to database rows since the data was initially retrieved. If any conflicting changes are detected, the framework can handle the conflict by either discarding the update or prompting the user to resolve it. Optimistic concurrency control helps to minimize the risk of data inconsistency by ensuring that updates are only applied if the data has not been modified by another user since it was retrieved.
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