What is a cost-effective way to provide near real-time alerts on the pipeline metrics?
A large oil and gas company needs to provide near real-time alerts when peak thresholds are exceeded in its pipeline system. The company has developed a system to capture pipeline metrics such as flow rate, pressure, and temperature using millions of sensors. The sensors deliver to AWS IoT.
What is a cost-effective way to provide near real-time alerts on the pipeline metrics?
A . Create an AWS IoT rule to generate an Amazon SNS notification.
B . Store the data points in an Amazon DynamoDB table and poll if for peak metrics data from an Amazon EC2 application.
C . Create an Amazon Machine Learning model and invoke it with AWS Lambda.
D . Use Amazon Kinesis Streams and a KCL-based application deployed on AWS Elastic Beanstalk.
Answer: C
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