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Answer: Amazon Kinesis Data Streams for storage and Amazon Kinesis Data Firehose for processing.
Amazon Kinesis Data Streams is a service for real-time data streaming that can handle high write throughput from IoT sensors. Amazon Kinesis Data Firehose is a fully managed service for loading real-time data into AWS data stores, making it ideal for processing sensor data in real-time. This combination provides the necessary storage and processing capabilities for the IoT solution.
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A manufacturing company is implementing an IoT solution to collect and store sensor data from their production lines. The data includes temperature, pressure, and humidity readings 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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