15 real Querying questions from the NoSQL 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 Query operation?
Mid
A.a batch paradigm that splits work into a per-record map step and an aggregating reduce step across a cluster
B.the property whereby most non-relational stores cannot combine records server-side, pushing that work to the data model or application
C.a read that targets items by their indexed key and is efficient because it touches only matching partitions
D.a read that examines every item in a table and is costly because it ignores key structure
A.Query operation — a read that examines every item in a table and is costly because it ignores key structure
B.Query operation — a read that targets items by their indexed key and is efficient because it touches only matching partitions
C.Query operation — the property whereby most non-relational stores cannot combine records server-side, pushing that work to the data model or application
D.Query operation — a batch paradigm that splits work into a per-record map step and an aggregating reduce step across a cluster
A.Scan operation — a batch paradigm that splits work into a per-record map step and an aggregating reduce step across a cluster
B.Scan operation — the property whereby most non-relational stores cannot combine records server-side, pushing that work to the data model or application
C.Scan operation — an extra lookup structure on a non-primary attribute so reads can filter by fields other than the main key
D.Scan operation — a read that examines every item in a table and is costly because it ignores key structure
8. Which term means: "the property whereby most non-relational stores cannot combine records server-side, pushing that work to the data model or application"?
A.Absence of joins — a read that targets items by their indexed key and is efficient because it touches only matching partitions
B.Absence of joins — a batch paradigm that splits work into a per-record map step and an aggregating reduce step across a cluster
C.Absence of joins — an extra lookup structure on a non-primary attribute so reads can filter by fields other than the main key
D.Absence of joins — the property whereby most non-relational stores cannot combine records server-side, pushing that work to the data model or application
A.Secondary index — a batch paradigm that splits work into a per-record map step and an aggregating reduce step across a cluster
B.Secondary index — the property whereby most non-relational stores cannot combine records server-side, pushing that work to the data model or application
C.Secondary index — a read that targets items by their indexed key and is efficient because it touches only matching partitions
D.Secondary index — an extra lookup structure on a non-primary attribute so reads can filter by fields other than the main key
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