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How can combining pagination with filtering improve performance when handling large datasets in a REST API?

hard🚀 Application Q9 of Q15
Rest API - Pagination Patterns
How can combining pagination with filtering improve performance when handling large datasets in a REST API?
AIt increases the total data sent by applying filters after pagination
BIt reduces the amount of data sent by selecting relevant items and limiting results per page
CIt disables pagination when filters are applied
DIt sorts data randomly to improve speed
Step-by-Step Solution
Solution:
  1. Step 1: Understand filtering and pagination roles

    Filtering selects only relevant data, while pagination limits how much data is sent at once.
  2. Step 2: Combine filtering and pagination

    Applying filters first reduces dataset size, then pagination sends manageable chunks, improving performance.
  3. Final Answer:

    It reduces the amount of data sent by selecting relevant items and limiting results per page -> Option B
  4. Quick Check:

    Filtering + pagination = efficient data transfer [OK]
Quick Trick: Filter first, then paginate for best performance [OK]
Common Mistakes:
MISTAKES
  • Applying pagination before filtering
  • Disabling pagination when filtering
  • Assuming filtering increases data size

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