A company needs to ingest terabytes of data each hour from thousands of sources that are delivered almost continually throughout the day. The volume of messages generated varies over the course of the day. Messages must be delivered in real time for fraud detection and live operational dashboards. Which approach will meet these requirements?

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1. A company needs to ingest terabytes of data each hour from thousands of sources that are delivered almost continually throughout the day. The volume of messages generated varies over the course of the day. Messages must be delivered in real time for fraud detection and live operational dashboards. Which approach will meet these requirements?

N - AWS Elastic Beanstalk is designed to support multiple running environments. As an example you could have one for integration testing, one for pre-production, and one for production, with each environment independently configured and running on its own separate AWS resources. Reference: https://aws.amazon.com/elasticbeansta|k/faqs/
Create an IAM user with read-only permissions for the S3 bucket. Temporarily store the user credentials in the user data of the EC2 instance. - Ref: https://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_use_switch-role-ec2.html
Use Amazon Kinesis Data Streams with Kinesis Client Library to ingest and deliver messages. - Ref: https://aws.amazon.com/kinesis/data-streams/faqs/
Basic - Ref: http://docs.amazonwebservices.com/AWSEC2/latest/UserGuide/monitoring-volume-status.html

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