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NEW QUESTION: 1
회사에는 온-프레미스 SQL 데이터베이스에 데이터를 저장하는 전자 상거래 애플리케이션이 있습니다. 회사는이 데이터베이스를 AWS로 마이그레이션하기로 결정했습니다. 그러나 마이그레이션의 일부로 회사는 일반적인 읽기 요청에 대해 밀리 초 미만의 응답을 얻을 수 있는 방법을 찾고자 합니다.
솔루션 아키텍트는 속도 증가가 가장 중요하고 데이터베이스 읽기에서 반환 된 오래된 데이터의 작은 비율이 허용된다는 것을 알고 있습니다. 솔루션 아키텍트는 무엇을 권장해야합니까?
A. 데이터베이스를 더 큰 인스턴스 유형으로 빌드하십시오.
B. Amazon RDS 읽기 전용 복제본을 구축합니다.
C. Amazon ElastiCache를 사용하여 데이터베이스 캐시 구축
D. Amazon Elasticsearch Service (Amazon ES)를 사용하여 데이터베이스 캐시 구축
Answer: C

NEW QUESTION: 2
You need to access the remote image data according to the requirements. Which data storage methods should you use?
A. SaveDataToWebService() andGetDataFromWebService()
B. SaveDataToRoamingStorage() andGetDataFromRoamingStorage()
C. SaveDataToAzureStorage() andGetDataFromAzureStorage()
D. SaveRoamingSetting() andGetRoamingSetting()
Answer: A

NEW QUESTION: 3
A user has launched 10 instances from the same AMI ID using Auto Scaling.
The user is trying to see the average CPU utilization across all instances of the last 2 weeks under the CloudWatch console.
How can the user achieve this?
A. View the Auto Scaling CPU metrics
B. The user has to use the CloudWatchanalyser to find the average data across instances
C. It is not possible to see the average CPU utilization of the same AMI ID since the instance ID is different
D. Aggregate the data over the instance AMI ID
Answer: A
Explanation:
You can aggregate statistics for the EC2 instances in an Auto Scaling group. Note that Amazon CloudWatch cannot aggregate data across regions. Metrics are completely separate between regions.
http://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/GetMetricAutoScalingGroup.
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