Phase 1: Examination of Search Methodologies.
- Binary Search: Search duration correlates with the element count, specifically $O(\log n)$. Applicable to sorted arrays only.
- Hashing: With a robust hash function and effective collision management, search time is unaffected by the number of elements, yielding an average complexity of $O(1)$.
- Linear Search: Search duration is $O(n)$, directly proportional to the element count, due to sequential checking.
- Jump Search: Search duration is contingent on element count, with a time complexity of $O(\sqrt{n})$.
Phase 2: Determination.
The optimal choice is (2) Hashing, owing to its search time's independence from element count.
Consider a dynamic hashing approach for 4-bit integer keys:

Consider the following state of the hash table. Which of the following sequences of key insertions can cause the above state of the hash table (assume the keys are in decimal notation)?