What is a potential downside of not using pagination in API responses?

Study for the Celigo Builder Core Certification Exam with flashcards and multiple choice questions, each question has hints and explanations. Get ready for your exam!

Multiple Choice

What is a potential downside of not using pagination in API responses?

Explanation:
The choice indicating that not using pagination can lead to large payloads that slow down processing is correct because when an API response includes a vast amount of data all at once, it can result in a significantly larger payload than necessary. This means that each time a request is made, the entire dataset is sent to the client, which can drastically increase the time it takes to transfer data over the network. Larger payloads also require more memory and processing power for both the server and the client to handle, which can lead to slower performance, increased latency, and a poorer overall experience for users. In contrast, using pagination allows for smaller, more manageable chunks of data to be transmitted, which can enhance efficiency and responsiveness of both the API and client applications. These smaller datasets can be processed more quickly, leading to a smoother interaction and a more efficient use of resources.

The choice indicating that not using pagination can lead to large payloads that slow down processing is correct because when an API response includes a vast amount of data all at once, it can result in a significantly larger payload than necessary. This means that each time a request is made, the entire dataset is sent to the client, which can drastically increase the time it takes to transfer data over the network. Larger payloads also require more memory and processing power for both the server and the client to handle, which can lead to slower performance, increased latency, and a poorer overall experience for users.

In contrast, using pagination allows for smaller, more manageable chunks of data to be transmitted, which can enhance efficiency and responsiveness of both the API and client applications. These smaller datasets can be processed more quickly, leading to a smoother interaction and a more efficient use of resources.

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