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LLDsystem_design~5 mins

Search functionality design in LLD - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What is the primary goal of search functionality in a system?
To quickly and accurately find relevant information from a large set of data based on user queries.
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intermediate
Explain the role of an inverted index in search systems.
An inverted index maps each word to the list of documents containing it, enabling fast full-text search by avoiding scanning all documents.
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beginner
What is the difference between synchronous and asynchronous search queries?
Synchronous queries block the user until results return, while asynchronous queries allow the user to continue interacting while results load in the background.
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beginner
Why is relevance ranking important in search results?
It orders results so the most useful or relevant items appear first, improving user satisfaction and efficiency.
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intermediate
Name two common techniques to scale search functionality for large data volumes.
1. Sharding the index across multiple servers. 2. Caching frequent queries and results.
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What data structure is commonly used to speed up full-text search?
ALinked list
BBinary tree
CInverted index
DHash map
Which of the following improves search result relevance?
ACaching
BData encryption
CLoad balancing
DRelevance ranking
What is a benefit of asynchronous search queries?
AUser can continue interacting while results load
BResults are always more accurate
CUses less memory
DBlocks user input until complete
Which technique helps scale search for very large datasets?
AUsing a single large server
BSharding the index
CRemoving caching
DIncreasing query complexity
What does an inverted index map?
AWords to documents
BDocuments to users
CQueries to servers
DUsers to sessions
Describe the key components and flow of a basic search functionality design.
Think about how a user’s search request travels through the system to get results.
You got /5 concepts.
    Explain how you would scale search functionality to handle millions of queries per day.
    Consider both data storage and query handling.
    You got /5 concepts.