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NEW QUESTION: 1
조직에는 Amazon API Gateway, AWS Lambda 및 Amazon DynamoDB를 사용하는 쓰기 집약적 모바일 응용 프로그램이 있습니다. 응용 프로그램은 잘 확장되었지만 예상된 람다 비용보다 높기 때문에 비용이 기하 급수적으로 증가했습니다. 응용 프로그램의 사용은 예측할 수 없지만 매달 사용률이 꾸준히 20 % 증가했습니다.
현재의 Lambda 기능을 모니터링하는 동안 Solutions Architect는 실행 시간이 평균 4.5 분이라는 것을 알게됩니다. 대부분의 대기 시간은 온 - 프레미스 (on-premises) 인 3 TB MySQL 데이터베이스 서버에 대한 대기 시간이 긴 네트워크 호출의 결과입니다. VPC에 연결하는 데 VPN이 사용되므로 람다 기능이 5 분의 시간 제한으로 구성되었습니다.
솔루션 설계자는 현재 아키텍처의 비용을 어떻게 줄일 수 있습니까?
A. MySQL 데이터베이스 서버를 MySQL 용 다중 AZ Amazon RDS로 마이그레이션합니다. Amazon API Gateway의 캐싱 기능으로 Amazon CloudFront에서 람다 함수 호출 횟수를 줄일 수 있습니다. 모니터 람다 함수 성능; 시간 제한 및 메모리 속성을 허용 가능한 실행 시간을 유지하면서 값을 낮추도록 점진적으로 조정하십시오. 자주 액세스하는 레코드 용 DynamoDB Accelerator를 활성화하고 DynamoDB Auto Scaling 기능을 활성화하십시오.
B. MySQL 데이터베이스 서버를 MySQL 용 다중 AZ Amazon RDS로 마이그레이션합니다. API 게이트웨이에서 API 캐싱을 활성화하여 람다 함수 호출 수를 줄입니다. AWS 람다 함수 성능을 모니터링하기 위해 계속하십시오. 지연 시간 및 메모리 속성을 점차적으로 조정하여 허용 가능한 실행 시간을 유지하면서 값을 낮추십시오. DynamoDB에서 자동 크기 조정을 활성화하십시오.
C. VPN을 AWS Direct Connect로 바꾸어 사내 구축 형 MySQL 데이터베이스에 대한 네트워크 대기 시간을 줄입니다. 모바일 응용 프로그램에서 로컬 캐시를 활성화하여 람다 함수 호출을 줄입니다. 모니터 람다 함수 성능; 시간 제한 및 메모리 속성을 허용 가능한 실행 시간을 유지하면서 값을 낮추도록 점진적으로 조정합니다. 자주 액세스하는 레코드를 DynamoDB에서 Amazon ElastiCache로 가져옵니다.
D. VPN을 AWS Direct Connect로 대체하여 온 - 프레미스 MySQL 데이터베이스에 대한 네트워크 대기 시간을 줄입니다. API 게이트웨이 결과를 Amazon CloudFront로 캐시합니다. EC2의 Lambda.Enable Auto Scaling 대신 Amazon EC2 예약 인스턴스를 사용하고 사용량이 많은 시간대에 스팟 인스턴스를 생성합니다. 대상 활용도를 관리하기 위해 DynamoDB Auto Scaling을 활성화합니다.
Answer: C
NEW QUESTION: 2
You install a new Qlogic HBA in a Linux host. Which host utility can you use to view configuration information about the new HBA?
A. SANsurfer
B. OneCommand Manager
C. Unisphere for VNX
D. Host Connectivity Manager
Answer: A
NEW QUESTION: 3
キーサーバーのグループからプライマリキーサーバーを選択するために最初に使用されるパラメーターはどれですか。
A. コードバージョン
B. 最小のIPアドレス
C. 最も優先度の高い値
D. 最高のIPアドレス
Answer: C
Explanation:
Reference:
https://www.cisco.com/c/en/us/products/collateral/security/group-encrypted-transport-vpn/ deployment_guide_c07_554713.html