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NEW QUESTION: 1
회사는 AWS에서 3 계층 애플리케이션을 실행합니다. 사용자는 액세스 시간과 기능에 따라 응용 프로그램 성능이 크게 다를 수 있다고 보고합니다.
응용 프로그램에는 다음과 같은 구성 요소가 포함됩니다.
응용 프로그램 계층의 정적 컨텐트 및 프록시 동적 컨텐트를 제공하는 t2.large 프런트 엔드 웹 서버 8 개
* 4 개의 t2.large 어플리케이션 서버.
* 하나의 db.m4.large Amazon RDS MySQL 다중 AZ DB 인스턴스.
운영팀은 웹 및 애플리케이션 계층이 네트워크 제한적이라고 판단했습니다.
다음 중 비용 효율적으로 애플리케이션 성능을 개선해야 하는 것은 무엇입니까? (2 개를 선택하십시오.)
A. Amazon RDS 인스턴스의 크기를 db.m4.xlarge로 늘리십시오.
B. 웹 및 애플리케이션 계층에 AWS Auto Scaling 및 m4.large 인스턴스 사용
C. MySQL RDS 인스턴스를 Amazon EC2의 자체 관리 형 MySQL 클러스터로 변환
D. 웹 및 앱 계층을 t2.xlarge 인스턴스로 교체
E. Amazon CloudFront 배포를 생성하여 콘텐츠를 캐시
Answer: B,E
Explanation:
https://aws.amazon.com/ec2/instance-types/
A: T2 instance are burstable and hence even xlarge can only have moderate network performance.
B: M4 are more suitable because it is network high performance.
C\E: DB is not the issue.
D: Cloudfront can cace the static content for faster access without needed to enlarge the front- end web servers.

NEW QUESTION: 2
顧客がサブスクライバーの名と送信日を月刊ニュースレターに表示したい場合、サブスクライバーの名のデータは、送信定義で使用されないデータ拡張に保存されます。
このシナリオではどのオプションを使用する必要がありますか？
A. AMPscript
B. パーソナライズ文字列
C. SQLクエリ
D. ガイドテンプレート言語
Answer: A

NEW QUESTION: 3
Your company produces customer commissioned one-of-a-kind skiing helmets combining nigh fashion with custom technical enhancements Customers can show oft their Individuality on the ski slopes and have access to head-up-displays. GPS rear-view cams and any other technical innovation they wish to embed in the helmet.
The current manufacturing process is data rich and complex including assessments to ensure that the custom electronics and materials used to assemble the helmets are to the highest standards Assessments are a mixture of human and automated assessments you need to add a new set of assessment to model the failure modes of the custom electronics using GPUs with CUDA. across a cluster of servers with low latency networking.
What architecture would allow you to automate the existing process using a hybrid approach and ensure that the architecture can support the evolution of processes over time?
A. Use AWS Data Pipeline to manage movement of data & meta-data and assessments Use an auto-scaling group of G2 instances in a placement group.
B. Use AWS data Pipeline to manage movement of data & meta-data and assessments use auto-scaling group of C3 with SR-IOV (Single Root I/O virtualization).
C. Use Amazon Simple Workflow (SWF) lo manages assessments movement of data & meta-data Use an auto-scaling group of C3 instances with SR-IOV (Single Root I/O Virtualization).
D. Use Amazon Simple Workflow (SWF) 10 manages assessments, movement of data & meta-data Use an auto-scaling group of G2 instances in a placement group.
Answer: D

NEW QUESTION: 4
What is the default behavior for a manual summary route when a component route o( the summary disappears?
A. If the component route previously had the best composite metric, the same summary metric is retained for stability
B. Regardless of the metric of the component route, the metric of the summary is unchanged in order to keep stability
C. If the component route previously did not have the best composite metric, the summary metric is updated and updates are sent to peers
D. If the component route previously had the best composite metric, the metric of the summary changes to the next-best composite metric
Answer: D