12 real Pagination & Filtering questions from the REST API bank, as asked in Indian campus drives and tech interviews. Every question has a verified answer and an AI-tutor explanation on placd — free to start.
1. What is Offset Pagination?
Mid
A.a paging strategy using a skip count and limit, which is simple but degrades on deep pages and can skip or repeat rows when data shifts
B.selecting which attributes a response includes so clients can request a sparse subset and reduce payload size
C.the query parameter that caps how many items a single page response returns
D.a paging strategy that returns an opaque pointer to the last seen item, giving stable, efficient navigation through large, changing datasets
2. Which term means: "a paging strategy using a skip count and limit, which is simple but degrades on deep pages and can skip or repeat rows when data shifts"?
A.Offset Pagination — the query parameter that caps how many items a single page response returns
B.Offset Pagination — selecting which attributes a response includes so clients can request a sparse subset and reduce payload size
C.Offset Pagination — a paging strategy that returns an opaque pointer to the last seen item, giving stable, efficient navigation through large, changing datasets
D.Offset Pagination — a paging strategy using a skip count and limit, which is simple but degrades on deep pages and can skip or repeat rows when data shifts
5. Which term means: "a paging strategy that returns an opaque pointer to the last seen item, giving stable, efficient navigation through large, changing datasets"?
A.Cursor Pagination — selecting which attributes a response includes so clients can request a sparse subset and reduce payload size
B.Cursor Pagination — the query parameter that caps how many items a single page response returns
C.Cursor Pagination — a paging strategy using a skip count and limit, which is simple but degrades on deep pages and can skip or repeat rows when data shifts
D.Cursor Pagination — a paging strategy that returns an opaque pointer to the last seen item, giving stable, efficient navigation through large, changing datasets
A.Limit Parameter — the query parameter that caps how many items a single page response returns
B.Limit Parameter — a paging strategy using a skip count and limit, which is simple but degrades on deep pages and can skip or repeat rows when data shifts
C.Limit Parameter — a paging strategy that returns an opaque pointer to the last seen item, giving stable, efficient navigation through large, changing datasets
D.Limit Parameter — selecting which attributes a response includes so clients can request a sparse subset and reduce payload size
A.Field Filtering — selecting which attributes a response includes so clients can request a sparse subset and reduce payload size
B.Field Filtering — a paging strategy using a skip count and limit, which is simple but degrades on deep pages and can skip or repeat rows when data shifts
C.Field Filtering — a paging strategy that returns an opaque pointer to the last seen item, giving stable, efficient navigation through large, changing datasets
D.Field Filtering — the query parameter that caps how many items a single page response returns
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