Scenario: Your Entity Framework application is encountering concurrency conflicts when updating data. What strategies can you implement to handle these conflicts effectively?
- Use optimistic concurrency by configuring the Entity Framework to check if the record has been modified by another user before saving changes.
- Use pessimistic concurrency by locking the record during the update process to prevent other users from modifying it simultaneously.
- Ignore concurrency conflicts and overwrite the changes made by other users during the update process.
- Rollback the transaction and notify the user to retry the operation later.
In Entity Framework, to handle concurrency conflicts effectively, you can implement strategies such as optimistic concurrency. This involves configuring Entity Framework to check if the record has been modified by another user before saving changes. Other options like pessimistic concurrency can lead to performance issues and locking conflicts. Ignoring conflicts or rolling back transactions without proper handling can result in data inconsistency and user frustration.
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