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A company wants to use a graph database to detect fraud patterns in real time. Which AWS service will meet this requirement?
A
Amazon DynamoDB
B
Amazon Neptune
C
Amazon RDS
D
Amazon Timestream for LiveAnalytics
Explanation:
Amazon Neptune is the correct choice because:
Amazon Neptune is AWS's fully managed graph database service specifically designed for working with highly connected data
It's optimized for graph queries and can efficiently traverse relationships between data points
For fraud detection, graph databases excel at identifying patterns and connections between entities (users, transactions, IP addresses, etc.)
Neptune supports real-time querying capabilities needed for fraud detection scenarios
Amazon DynamoDB: A NoSQL key-value and document database, not optimized for graph relationships
Amazon RDS: A relational database service for traditional SQL databases, not specialized for graph data
Amazon Timestream for LiveAnalytics: A time-series database for IoT and operational analytics, not designed for graph data structures
Graph databases like Neptune are particularly well-suited for fraud detection because they can quickly identify suspicious patterns and connections across multiple data points in real-time.