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NEW QUESTION: 1
회사에는 사내 소프트웨어 프레임 워크를 사용하여 작성된 응용 프로그램이 있습니다. 프레임 워크 설치는 30 분이 걸리며 사용자 데이터 스크립트로 수행됩니다. 회사 개발자는 응용 프로그램에 자주 변경 사항을 배포합니다. 이 프로세스에서 프레임 워크 설치가 병목 현상이되고 있습니다.
다음 중이 프로세스 속도를 높이는 것은 무엇입니까?
A. Create a pipeline to parallelize the installation tasks and call this pipeline from a user data script.
B. Configure an AWS OpsWorks cookbook that installs the framework instead of employing user data. Use this cookbook as a base for all deployments.
C. 사용자 데이터 스크립트를 사용하여 프레임 워크를 설치하지만 설치 파일을 압축하여 더 작게 만듭니다.
D. 프레임 워크가 설치된 사용자 지정 AMI를 구축 할 파이프 라인을 생성하고이 AMI를 애플리케이션 배포의 기준으로 사용하십시오.
Answer: D

NEW QUESTION: 2
Refer to the exhibit.

What is the result of the SPAN configuration on a Cisco switch?
A. Configure a SPAN session to monitor the received traffic on interface g0/5 only for VLAN 3.
B. Configure a SPAN session to monitor the received traffic on interface g0/5 for all VLANs except VLAN 3.
C. Configure a SPAN session to monitor the received traffic on interface g0/4 only for VLAN 3.
D. Configure a SPAN session to monitor the received traffic on interface g0/4 for all VLANs except VLAN 3.
Answer: C

NEW QUESTION: 3
한 회사가 모바일 불꽃을 개발했습니다. 게임의 백엔드는 온 프레미스 데이터 캔터에 있는 여러 가상 머신에서 실행됩니다. 비즈니스 로직은 여러 기능이 있는 REST API를 사용하여 노출됩니다. 플레이어 세션 데이터는 중앙의 모든 저장소에 저장됩니다. 백엔드 서비스는 조절을 위해 서로 다른 API 키를 사용하고 라이브 트래픽과 테스트 트래픽을 구분합니다.
게임 백엔드의 로드는 하루 종일 다릅니다. 사용량이 많은 시간에는 서버 용량이 충분하지 않습니다. 플레이어 세션 데이터를 가져올 때 대기 시간 문제도 있습니다. Management는 솔루션 설계자에게 게임의 다양한 로드를 처리하고 대기 시간이 짧은 데이터 액세스를 제공 할 수 있는 클라우드 아키텍처를 제시하도록 요청했습니다. API 모델을 변경하면 안됩니다.
이러한 요구 사항을 충족하는 솔루션은 무엇입니까?
A. AWS AppSync를 사용하여 RFST API 구현 Amazon Aurora Serverless의 AWS Lambda Store 플레이어 세션 데이터에서 비즈니스 로직을 실행합니다.
B. Application Load Balancer (ALB)를 사용하여 REST API 구현 온 디맨드 용량으로 Amazon DynamoDB의 AWS Lambda Store 플레이어 세션 데이터에서 비즈니스 로직을 실행합니다.
C. NLB (Network Load Balancer)를 사용하여 REST API 구현 Amazon Aurora Serverless의 NLB Store 플레이어 세션 데이터 뒤에있는 Amazon EC2 인스턴스에서 비즈니스 로직을 실행합니다.
D. Amazon API GateWay를 사용하여 REST API 구현 Amazon DynamoDB의 AWS Lambda Store 플레이어 세션 데이터에서 비즈니스 로직 실행 온 디맨드 용량 확보
Answer: D