AIncorrect
Amazon Redshift
Redshift is a data warehouse for aggregating and analyzing large volumes of data.
It is not a graph database that traverses relationships between data, so it is incorrect.
Which graph database service is BEST suited when you want to represent the connections (relationships) between data, such as friend relationships and recommendations in a social network, and efficiently handle complex queries that traverse those relationships?
1 / 1
Select an answer
CorrectB
Explanation
A question about choosing the graph database that handles relationships.
- 1「connections (relationships)」Representing relationships between nodes = graph DB
- 2「complex queries that traverse those relationships」Graph traversal queries
- 3「graph database」The classification of Neptune
BCorrect
Amazon Neptune
Correct. Amazon Neptune is a managed graph database that specializes in handling the relationships (connections) between data. It can efficiently run complex queries that traverse relationships, such as social network friend relationships, recommendations, fraud detection, and knowledge graphs.
CIncorrect
Amazon DynamoDB
DynamoDB is a key-value NoSQL database that is strong for simple reads and writes.
It is not a service specialized for complex graph queries that traverse relationships, so it is incorrect.
DIncorrect
Amazon DocumentDB
Amazon DocumentDB is a MongoDB-compatible document database that stores and queries JSON documents.
It is good at flexible, document-level data management, but it is not a service specialized for graph-structured queries that traverse connections, so it is incorrect.
Key Takeaway
'Relationships', 'traversing connections', and 'graph database' point to Amazon Neptune. It is a leading example of a purpose-built DB. Key-value is DynamoDB, and analytics is Redshift.