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A company has installed sensors across all its factories to monitor environmental parameters like humidity and light. They require real-time streaming and analysis of this data in the AWS Cloud. Additionally, the factory operations team must be immediately notified if any parameter exceeds acceptable limits. Which AWS solution best addresses these needs?
A
Stream the data to an Amazon Kinesis Data Firehose delivery stream, utilize AWS Step Functions to process and analyze the data from the Kinesis Data Firehose, and employ Amazon Simple Notification Service (Amazon SNS) to alert the operations team.
B
Stream the data to an Amazon Managed Streaming for Apache Kafka (Amazon MSK) cluster, configure a trigger in Amazon MSK to initiate an AWS Fargate task for data analysis, and use Amazon Simple Email Service (Amazon SES) to inform the operations team.
C
Stream the data to an Amazon Kinesis data stream, develop an AWS Lambda function to process the Kinesis data stream and analyze the data, and implement Amazon Simple Notification Service (Amazon SNS) to notify the operations team.
D
Stream the data to an Amazon Kinesis Data Analytics application, leverage an auto-scaled, containerized service in Amazon Elastic Container Service (Amazon ECS) to process and analyze the data, and utilize Amazon Simple Email Service (Amazon SES) to send notifications to the operations team.