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Answer: Amazon DynamoDB for storage and AWS Lambda for processing.
Amazon DynamoDB is a NoSQL database service that provides consistent, single-digit millisecond latency at any scale, making it ideal for real-time tracking of shipment data. AWS Lambda is a serverless compute service that can process the data in real-time, ensuring high write throughput and low latency access. This combination provides the necessary storage and processing capabilities for the supply chain management system.
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A logistics company is implementing a supply chain management system that requires real-time tracking and storage of shipment data. The data includes shipment status, location, and timestamps in JSON format. The solution must support high write throughput and be able to process the data in real-time. Which AWS storage and processing service would you recommend, and why?
A
Amazon S3 for storage and Amazon Redshift for processing.
B
Amazon DynamoDB for storage and AWS Lambda for processing.
C
Amazon Kinesis Data Streams for storage and Amazon Kinesis Data Firehose for processing.
D
Amazon EBS for storage and Amazon EMR for processing.
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