NoSQL Types interview questions

1. A.a database that keeps semi-structured records as self-describing JSON-like objects, such as MongoDB
2. B.a wide-row model that groups related columns and supports millions of dynamic columns per row, as in Cassandra and HBase
3. C.a system optimized for storing nodes and the edges between them so relationship traversals are first-class, such as Neo4j
4. D.a family of non-relational stores that relax fixed table schemas and SQL joins in favor of flexible models and horizontal scale

Answer + AI explanation with Pro

1. A.NoSQL
2. B.Column-family store
3. C.Key-value store
4. D.Document store

Answer + AI explanation with Pro

1. A.Document store — the simplest model, mapping an opaque identifier directly to a blob of bytes with no query over the value, as in Redis
2. B.Document store — an engine that supports several data paradigms such as document, graph, and key-value within one product, like ArangoDB or Cosmos DB
3. C.Document store — a database that keeps semi-structured records as self-describing JSON-like objects, such as MongoDB
4. D.Document store — a system optimized for storing nodes and the edges between them so relationship traversals are first-class, such as Neo4j

Answer + AI explanation with Pro

1. A.a family of non-relational stores that relax fixed table schemas and SQL joins in favor of flexible models and horizontal scale
2. B.the simplest model, mapping an opaque identifier directly to a blob of bytes with no query over the value, as in Redis
3. C.a database that keeps semi-structured records as self-describing JSON-like objects, such as MongoDB
4. D.a system optimized for storing nodes and the edges between them so relationship traversals are first-class, such as Neo4j

Answer + AI explanation with Pro

1. A.NoSQL
2. B.Multi-model database
3. C.Column-family store
4. D.Key-value store

Answer + AI explanation with Pro

1. A.Key-value store — an engine that supports several data paradigms such as document, graph, and key-value within one product, like ArangoDB or Cosmos DB
2. B.Key-value store — a database that keeps semi-structured records as self-describing JSON-like objects, such as MongoDB
3. C.Key-value store — a family of non-relational stores that relax fixed table schemas and SQL joins in favor of flexible models and horizontal scale
4. D.Key-value store — the simplest model, mapping an opaque identifier directly to a blob of bytes with no query over the value, as in Redis

Answer + AI explanation with Pro

1. A.a wide-row model that groups related columns and supports millions of dynamic columns per row, as in Cassandra and HBase
2. B.an engine that supports several data paradigms such as document, graph, and key-value within one product, like ArangoDB or Cosmos DB
3. C.a database that keeps semi-structured records as self-describing JSON-like objects, such as MongoDB
4. D.a family of non-relational stores that relax fixed table schemas and SQL joins in favor of flexible models and horizontal scale

Answer + AI explanation with Pro

1. A.Document store
2. B.NoSQL
3. C.Column-family store
4. D.Key-value store

Answer + AI explanation with Pro

1. A.Column-family store — a database that keeps semi-structured records as self-describing JSON-like objects, such as MongoDB
2. B.Column-family store — a family of non-relational stores that relax fixed table schemas and SQL joins in favor of flexible models and horizontal scale
3. C.Column-family store — a system optimized for storing nodes and the edges between them so relationship traversals are first-class, such as Neo4j
4. D.Column-family store — a wide-row model that groups related columns and supports millions of dynamic columns per row, as in Cassandra and HBase

Answer + AI explanation with Pro

1. A.a database that keeps semi-structured records as self-describing JSON-like objects, such as MongoDB
2. B.a family of non-relational stores that relax fixed table schemas and SQL joins in favor of flexible models and horizontal scale
3. C.the simplest model, mapping an opaque identifier directly to a blob of bytes with no query over the value, as in Redis
4. D.a system optimized for storing nodes and the edges between them so relationship traversals are first-class, such as Neo4j

Answer + AI explanation with Pro

1. A.Graph database
2. B.Document store
3. C.NoSQL
4. D.Column-family store

Answer + AI explanation with Pro

1. A.Graph database — a system optimized for storing nodes and the edges between them so relationship traversals are first-class, such as Neo4j
2. B.Graph database — the simplest model, mapping an opaque identifier directly to a blob of bytes with no query over the value, as in Redis
3. C.Graph database — an engine that supports several data paradigms such as document, graph, and key-value within one product, like ArangoDB or Cosmos DB
4. D.Graph database — a wide-row model that groups related columns and supports millions of dynamic columns per row, as in Cassandra and HBase

Answer + AI explanation with Pro

1. A.the simplest model, mapping an opaque identifier directly to a blob of bytes with no query over the value, as in Redis
2. B.a database that keeps semi-structured records as self-describing JSON-like objects, such as MongoDB
3. C.a family of non-relational stores that relax fixed table schemas and SQL joins in favor of flexible models and horizontal scale
4. D.a system optimized for storing nodes and the edges between them so relationship traversals are first-class, such as Neo4j

Answer + AI explanation with Pro

1. A.Document store
2. B.Column-family store
3. C.Key-value store
4. D.NoSQL

Answer + AI explanation with Pro

1. A.NoSQL — a family of non-relational stores that relax fixed table schemas and SQL joins in favor of flexible models and horizontal scale
2. B.NoSQL — a wide-row model that groups related columns and supports millions of dynamic columns per row, as in Cassandra and HBase
3. C.NoSQL — a database that keeps semi-structured records as self-describing JSON-like objects, such as MongoDB
4. D.NoSQL — the simplest model, mapping an opaque identifier directly to a blob of bytes with no query over the value, as in Redis

Answer + AI explanation with Pro

1. A.a wide-row model that groups related columns and supports millions of dynamic columns per row, as in Cassandra and HBase
2. B.an engine that supports several data paradigms such as document, graph, and key-value within one product, like ArangoDB or Cosmos DB
3. C.a database that keeps semi-structured records as self-describing JSON-like objects, such as MongoDB
4. D.a family of non-relational stores that relax fixed table schemas and SQL joins in favor of flexible models and horizontal scale

Answer + AI explanation with Pro

1. A.Multi-model database
2. B.NoSQL
3. C.Key-value store
4. D.Column-family store

Answer + AI explanation with Pro

1. A.Multi-model database — a system optimized for storing nodes and the edges between them so relationship traversals are first-class, such as Neo4j
2. B.Multi-model database — an engine that supports several data paradigms such as document, graph, and key-value within one product, like ArangoDB or Cosmos DB
3. C.Multi-model database — the simplest model, mapping an opaque identifier directly to a blob of bytes with no query over the value, as in Redis
4. D.Multi-model database — a family of non-relational stores that relax fixed table schemas and SQL joins in favor of flexible models and horizontal scale

Answer + AI explanation with Pro