Concurrent access to shared data may result inGroup of answer choicesdata inconsistencynone of thesedata consistencydata insecurity
Question
Concurrent access to shared data may result in
Group of answer choices
- data inconsistency
- none of these
- data consistency
- data insecurity
Solution
The correct answer to the question regarding concurrent access to shared data is data inconsistency.
Explanation:
When multiple processes or threads attempt to read and write shared data simultaneously, without proper synchronization mechanisms in place (like locks or semaphores), it can lead to situations where the data being accessed is not in a consistent state. This can happen due to race conditions, where the outcome depends on the sequence or timing of uncontrollable events.
Data inconsistency refers to instances where the data stored in the system does not accurately reflect the intended value due to these concurrent operations. Ensuring data consistency typically requires mechanisms to regulate access to the shared data.
In this scenario, the other options do not accurately represent the issue:
- Data consistency refers to accurate and reliable data states.
- Data insecurity is not a standard term in this context.
- None of these is incorrect since data inconsistency is indeed a potential result of concurrent access.
Thus, the impact of concurrent access on shared data is primarily associated with data inconsistency.
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