An application uses the RDF model to describe relationships between graph objects stored in Amazon Neptune.
What should query language be used in this scenario?
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A. B. C. D.Answer: C.
Option A is incorrect because Gremlin query language is used with Property Graph (PG) model.
Option B is incorrect because Cypher is a graph query language for the Neo4j graph database and is not supported by Amazon Neptune.
Option C is CORRECT because SPARQL is the query language used with RDF models and supported by Amazon Neptune.
Option D is incorrect because Amazon Neptune does not support GraphQL.
Reference:
https://docs.aws.amazon.com/neptune/latest/userguide/intro.htmlThe RDF model is a data model used to describe resources on the web, particularly in the semantic web. In RDF, data is represented as a graph with nodes and edges, where nodes represent resources and edges represent relationships between them. Amazon Neptune is a graph database service that supports the RDF model.
Given this scenario, the appropriate query language to use is SPARQL (pronounced "sparkle"). SPARQL is a query language designed for querying RDF data. It allows users to retrieve and manipulate data stored in RDF format. SPARQL queries consist of graph patterns, which describe the patterns of relationships between nodes in the RDF graph.
Option A, Gremlin, is a query language designed for graph databases in general, including Neptune. It is more commonly used for querying property graphs, rather than RDF graphs.
Option B, Cypher, is a query language designed for querying property graphs. It is not typically used for querying RDF graphs.
Option D, GraphQL, is a query language designed for querying APIs, not databases. While it can be used to query graph databases, it is not specifically designed for querying RDF data.
Therefore, the correct answer is C, SPARQL.