Trie is a tree-based data structure, which is used for efficient retrieval of a key in a large data-set of strings. Unlike a binary search tree, where node in the tree stores the key associated with that node, in trie node’s position in the tree defines the key with which it is associated and the key are only associated with the leaves. It is also known as prefix tree as all descendants of a node have a common prefix of the string associated with that node, and the root is associated with the empty string.
Below is the list of commonly asked Trie interview questions –
- Trie Implementation | Insert, Search and Delete
- C++ Implementation of Trie Data Structure
- Java Implementation of Trie Data Structure
- Memory efficient Trie Implementation using Map | Insert, Search and Delete
- Longest Common Prefix in given set of strings (using Trie)
- Lexicographic sorting of given set of keys
- Find maximum occurring word in given set of strings
- Find first k maximum occurring words in given set of strings
- Find Duplicate rows in a binary matrix
- Word Break Problem | Using Trie Data Structure
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