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Your company releases new features with high frequency while demanding high application availability. As part of the
application’s A/B testing, logs from each updated Amazon EC2 instance of the application need to be analyzed in near
real-time, to ensure that the application is working flawlessly after each deployment. If the logs show arty anomalous
behavior, then the application version of the instance is changed to a more stable one. Which of the following methods
should you use for shipping and analyzing the logs in a highly available manner?

A.
Ship the logs to Amazon S3 for durability and use Amazon EMR to analyze the logs in a batch manner each hour.

B.
Ship the logs to Amazon CloudWatch Logs and use Amazon EMR to analyze the logs in a batch manner each hour.

C.
Ship the logs to an Amazon Kinesis stream and have the consumers analyze the logs in a live manner.

D.
Ship the logs to a large Amazon EC2 instance and analyze the logs in a live manner.

E.
Store the logs locally on each instance and then have an Amazon Kinesis stream pull the logs for live analysis.

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