How does pagination enhance API performance?

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Prepare for the API Legacy Plus Test. Utilize flashcards and multiple choice questions with helpful hints and explanations. Get fully equipped for your exam!

Pagination enhances API performance by dividing large data sets into smaller, more manageable parts. This approach is particularly beneficial because it allows clients to request only a subset of data at any given time, rather than overwhelming them with a massive amount of information in a single response.

When data is paginated, it reduces the load on both the server and the client. The server can respond more quickly, as it only needs to process and send a limited amount of data per request. This efficiency can lead to faster response times, reduced bandwidth usage, and improved overall system performance. Clients can also handle this smaller set of data more efficiently, as it is easier to display and manipulate.

In contrast to the other options, pagination does not inherently increase the number of requests per minute, combine multiple endpoints, or minimize server code execution in a direct manner. Instead, it focuses on enhancing data handling and streamlining the communication between clients and servers, ultimately leading to more effective resource management.

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