Explain a real-world scenario where improper data set de-allocation in JCL can result in data integrity issues or job failures.
- A scenario where multiple jobs are writing to the same data set concurrently without proper deallocation can lead to data corruption or job abends.
- A situation where a data set with sensitive information is not properly deallocated, leading to unauthorized access and security breaches.
- In a scenario where archived data sets are not properly deallocated, it may lead to storage constraints and inability to access or retrieve important historical data.
- In a scenario where temporary data sets are not properly deallocated after job completion, subsequent jobs may fail due to insufficient space or conflicts.
When multiple jobs write to the same data set without proper deallocation, it can lead to data integrity issues, such as data corruption or inconsistencies, and job failures due to conflicts or resource contention.
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