Final answer:
Concurrent access to shared data may result in data inconsistency, which occurs when multiple processes manipulate the same data without proper synchronization, leading to potential errors.
Step-by-step explanation:
The student's question pertains to the effects of concurrent access to shared data. Concurrent access to shared data may result in data inconsistency. This happens when multiple processes access and manipulate the same data concurrently and at least one of the processes modifies the data. If these accesses are not properly synchronized, the different processes might not see the data in a consistent state, leading to anomalies and errors.
For example, if two bank transactions that change the same account balance are processed at the same time without proper synchronization, it could lead to an incorrect account balance. This situation is commonly resolved through the use of synchronization mechanisms such as locks, semaphores, or transactions, to ensure that only one process can access the data at a time, thereby maintaining data consistency and preventing data inconsistency.
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