Your team is working on a project that involves processing a large dataset and identifying duplicate entries. How would you use data structures and algorithms to optimize the performance of this task?
- Utilize a nested loop to compare each entry
- Implement a hash table to store encountered entries
- Sort the dataset and use binary search for duplicates
- Use a trie data structure to efficiently store entries
Option 2 is the most efficient approach as it offers constant-time lookups and insertion, resulting in O(n) time complexity for identifying duplicates. This solution optimizes both time and space by efficiently storing and querying entries.
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