Comprehensive List of Trie-Based Questions.

1. Fundamentals of Trie Data Structure

• Implement a Trie (Insert, Search, Delete)
• Implement a TrieNode Class
• Insert a Word into a Trie
• Search for a Word in a Trie
• Delete a Word from a Trie
• Check if a Prefix Exists in a Trie
• Count Words in a Trie
• Count Prefixes in a Trie
• Implement a Trie with Case Sensitivity
• Implement a Trie with Case Insensitivity

NEW: Visualize Trie Structure for Better Understanding (Display Trie as a Tree)

2. Trie-Based String Operations

• Find All Words with a Given Prefix (Using Trie)
• Find Words that Start with a Given Prefix (Using Trie)
• Find All Words that End with a Given Suffix (Using Trie)
• Find Longest Prefix Matching a Given String
• Find the Shortest Unique Prefix for Each Word
• Find All Words that Match a Given Pattern (Using Wildcards)
• Implement a Trie to Solve the Autocomplete Problem
• Find the Longest Common Prefix Among a List of Words
• Implement a Trie for Text Search and Replacement
• Find the Longest Common Suffix Among a List of Words

NEW: Implement Trie for Anagram Search Across Words

3. Advanced Trie Operations

• Implement a Trie with Node Counting
• Implement a Trie with Value Mapping (Key-Value Pair Storage)
• Implement a Trie with Frequency Counting
• Find the Number of Words with a Specific Prefix
• Find the Number of Words with a Specific Suffix
• Implement a Trie for Dictionary Word Lookup
• Find the Longest Prefix of a Word in a Trie
• Find the Maximum Number of Words in a Trie that Share a Prefix
• Find the Shortest Path from Root to a Given Word in a Trie
• Implement a Trie with a TrieMap (Word Count Mapping)

NEW: Find All Palindromic Prefixes and Suffixes Using Trie
NEW: Implement a Memory-Efficient Trie Using Bitwise Operations

4. Trie and Text Processing

• Implement a Trie-based Spell Checker
• Implement a Trie for Dictionary-Based Text Completion
• Find All Possible Words that Can Be Formed from a Given Set of Letters (Using Trie)
• Implement a Trie-based Solution for Word Segmentation
• Implement a Trie to Solve the Word Break Problem
• Find All Valid Words in a Board Using Trie (Word Search II)
• Find the Maximum Number of Words Formed from a Given List (Using Trie)
• Implement a Trie-based Solution for Text Search with Wildcards
• Implement a Trie to Solve the Text Justification Problem
• Find the Most Frequent Prefixes in a Large Text Dataset (Using Trie)

NEW: Implement Trie for Predictive Text Input for Multilingual Support
NEW: Build a Trie-Based Solution for Document Similarity Detection

5. Trie-Based Algorithms and Pattern Matching

• Implement a Trie-Based Algorithm for Prefix Matching
• Implement a Trie-Based Algorithm for Suffix Matching
• Find the Minimum Number of Edits to Convert One Word to Another (Using Trie)
• Find the Maximum Length of a Prefix with a Given Frequency (Using Trie)
• Implement a Trie-Based Algorithm for Finding Palindromic Substrings
• Find the Number of Distinct Substrings in a given string (Using Trie)
• Implement a Trie-Based Algorithm for Pattern Matching with Multiple Patterns
• Find the Longest Palindromic Substring in a Trie
• Find the Kth Largest Prefix in a Trie
• Implement a Trie-Based Algorithm for Longest Repeating Substring

NEW: Implement Trie for N-gram Analysis in Large Datasets
NEW: Solve the Longest Repeating Subsequence Problem Using Trie

6. Application-Oriented Trie Challenges

• Develop an Efficient Trie for Fast Language Translation Suggestions
• Implement a Trie for Storing Synonyms and Antonyms of Words
• Build a Trie for Fast URL Storage and Retrieval in Web Crawlers
• Implement Trie for DNA Sequence Matching in Bioinformatics
• Build a Trie-based Keyword Search and Ranking System for E-Commerce

NEW: Implement a Trie-Based Autocorrect System with Contextual Suggestions

Each of these questions covers different aspects of the Trie data structure, ranging from basic implementations to advanced applications, making it a well-rounded set to master Tries in various contexts.