Search and filter design in LLD - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the main purpose of search and filter design in a system?

To help users quickly find relevant information by allowing them to search using keywords and narrow down results using filters.

intermediate

Name two common data structures used to optimize search operations.

Inverted indexes and tries are commonly used to speed up search queries by organizing data for quick lookup.

beginner

Why is pagination important in search and filter design?

Pagination limits the number of results shown at once, improving performance and user experience by avoiding overwhelming the user and reducing load on the system.

intermediate

Explain the difference between client-side and server-side filtering.

Client-side filtering happens in the user's browser after data is loaded, suitable for small datasets. Server-side filtering happens on the server before sending data, better for large datasets to reduce data transfer and improve speed.

intermediate

What role does caching play in search and filter systems?

Caching stores frequent search results temporarily to quickly serve repeated queries without reprocessing, improving response time and reducing server load.

Which data structure is best suited for full-text search optimization?

A Hash map

B Binary search tree

C Linked list

D Inverted index

Inverted indexes map words to their locations in documents, making full-text search efficient.

What is the main benefit of server-side filtering over client-side filtering?

A Improves browser rendering speed

B Reduces data sent over the network

C Allows offline filtering

D Simplifies UI design

Server-side filtering sends only relevant data, reducing network load and improving performance.

Why is pagination used in search results?

A To display all results on one page

B To filter results by date

C To limit the number of results shown at once

D To sort results alphabetically

Pagination breaks results into pages to improve usability and system performance.

Which technique helps speed up repeated search queries?

A Caching

B Sorting

C Filtering

D Indexing

Caching stores results of frequent queries to serve them faster next time.

What is a common challenge when designing filters for search systems?

A Ensuring filters are intuitive and relevant

B Making filters invisible to users

C Avoiding any user input

D Showing all data without filtering

Filters should be easy to use and help users find what they want quickly.

Describe how you would design a scalable search and filter system for an online store.

Think about how to handle large data and fast user queries.

Explain the trade-offs between client-side and server-side filtering in search systems.

Consider data size and where filtering happens.