What does the custom relative URI pagination method utilize?

What does the custom relative URI pagination method utilize?

• A. Page number and size parameters
• B. ID or token as part of response
• C. Static URL with query strings
• D. A checksum on the request

Answer: (B)

The custom relative URI pagination method utilizes an ID or token as part of the response. This method is particularly effective in managing and traversing through large datasets. When a response includes an ID or token, it acts as a reference point for the next set of data to retrieve. Instead of relying on page numbers, which can become cumbersome and less efficient when dealing with large volumes of records, the use of IDs allows for more direct access to the subsequent records. This technique helps to ensure that the pagination remains consistent, even if the underlying data changes between requests, as the pagination is based on the actual data identifiers rather than a predefined sequence. This approach is especially useful in API interactions where the data may be frequently updated or when there are constraints on how items are processed, thus providing a more dynamic method of managing large sets of data compared to the alternatives.

The custom relative URI pagination method utilizes an ID or token as part of the response. This method is particularly effective in managing and traversing through large datasets. When a response includes an ID or token, it acts as a reference point for the next set of data to retrieve. Instead of relying on page numbers, which can become cumbersome and less efficient when dealing with large volumes of records, the use of IDs allows for more direct access to the subsequent records. This technique helps to ensure that the pagination remains consistent, even if the underlying data changes between requests, as the pagination is based on the actual data identifiers rather than a predefined sequence.

This approach is especially useful in API interactions where the data may be frequently updated or when there are constraints on how items are processed, thus providing a more dynamic method of managing large sets of data compared to the alternatives.