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In designing a search system, what is the key advantage of using a trie (prefix tree) for indexing keywords?

easy🧠 Conceptual Q1 of Q15
LLD - Design — Library Management System
In designing a search system, what is the key advantage of using a trie (prefix tree) for indexing keywords?
AIt automatically ranks search results by relevance
BIt compresses data to reduce storage space significantly
CIt guarantees constant time complexity for all search queries
DIt allows efficient prefix-based search and autocomplete features
Step-by-Step Solution
Solution:

  1. Step 1: Understand trie structure

    A trie stores characters of keywords in a tree structure, enabling prefix matching.

  2. Step 2: Analyze search benefits

    Because of its prefix-based organization, tries efficiently support autocomplete and prefix searches.

  3. Final Answer:

    It allows efficient prefix-based search and autocomplete features -> Option D

  4. Quick Check:

    Trie is ideal for prefix queries [OK]
Quick Trick: Tries excel at prefix and autocomplete searches [OK]
Common Mistakes:
MISTAKES
  • Assuming tries compress data like tries do not inherently compress data
  • Believing tries provide constant time for all queries
  • Confusing trie functionality with ranking algorithms

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