2017 February Amazon Official New Released AWS-DevOps-Engineer-Professional Dumps in Lead2pass.com!
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This dump is valid to pass Amazon AWS-DevOps-Engineer-Professional and don’t just memorize the answer, you need to get through understanding of it because the question changed a little in the real exam. The material is to supplement your studies.
Following questions and answers are all new published by Amazon Official Exam Center: http://www.lead2pass.com/aws-devops-engineer-professional.html
Due to compliance regulations, management has asked you to provide a system that allows for cost-effective long-term storage of your application logs and provides a way for support staff to view the logs more quickly. Currently your log system archives logs automatically to Amazon S3 every hour, and support staff must wait for these logs to appear in Amazon S3, because they do not currently have access to the systems to view live logs.
What method should you use to become compliant while also providing a faster way for support staff to have access to logs?
A. Update Amazon S3 lifecycle policies to archive old logs to Amazon Glacier, and add a new policy to push all log entries to Amazon SQS for ingestion by the support team.
B. B. Update Amazon S3 lifecycle policies to archive old logs to Amazon Glacier, and use or write a service to also stream your application logs to CloudWatch Logs.
C. Update Amazon Glacier lifecycle policies to pull new logs from Amazon S3, and in the Amazon EC2 console, enable the CloudWatch Logs Agent on all of your application servers.
D. Update Amazon S3 lifecycle policies to archive old logs to Amazon Glacier. key can be different from the tableEnable Amazon S3 partial uploads on your Amazon S3 bucket, and trigger an Amazon SNS notification when a partial upload occurs.
E. Use or write a service to stream your application logs to CloudWatch Logs. Use an Amazon Elastic Map Reduce cluster to live stream your logs from CloudWatch Logs for ingestion by the support team, and create a Hadoop job to push the logs to S3 in five-minute chunks.