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When a DBMS executes multiple transactions concurrently, potential problems include lost updates, where one transaction overwrites changes made by another; dirty reads, where a transaction reads uncommitted changes from another; and uncommitted data, leading to inconsistencies if a transaction is rolled back. Additionally, issues like deadlocks can arise, where two or more transactions wait indefinitely for each other to release locks. These problems can compromise data integrity and consistency, necessitating robust concurrency control mechanisms.

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