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Rehashing is a technique used in dynamic hash tables when the load factor (ratio of entries to bucket size) exceeds a certain threshold. It ensures efficient lookup, insertion, and deletion operations. Option A (Correct): A larger hash table is allocated in memory to accommodate more entries. Option B (Correct): A new hash function is typically required to map keys into the expanded table range. Option C (Correct): All key-value pairs from the old table are re-inserted (rehashed) into the new table using the new hash function. Since all three conditions (A, B, and C) are true, the best choice is Option E (All of the above). Reference: DASCA Data Scientist Knowledge Framework (DSKF) - Programming for Data Science: Data Structures & Hashing Techniques