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NEW QUESTION: 1
A university has a dormitory with several floors. Currently, APs are deployed in the hallways about every 50 feet (15 m). The university has several issues with the existing network:
* Students complain that the wireless network is very slow, and IT staff have observed a low signal in the student rooms.
* Students want to connect some equipment, such as gaming consoles and IP TVs, on Ethernet, but the dorm rooms just have one Ethernet port.
What could the architect plan to resolve all of these pain points?
A. Replace the existing APs with AP 345s and add more Ethernet ports to each room.
B. Deploy an AP 335 inside each dorm room.
C. Deploy an AP 303H inside each dorm room.
D. Keep the existing APs, but add more in the hallways to increase signal strength.
Answer: C

NEW QUESTION: 2
한 회사는 현재 소스 제어에 AWS CodeCommit을 사용하고 지속적인 통합을 위해 AWS CodePipeline을 사용하고 있습니다. 파이프 라인에는 Amazon S3 버킷에서 준비되는 아티팩트를 빌드하기 위한 빌드 단계가 있습니다.
이 회사는 기존 프로세스에서 다양한 개선 기회를 확인했으며 솔루션 설계자에게 다음 요구 사항이 제공되었습니다.

기능 개발을 지원하기 위한 새 파이프 라인 생성

프로덕션 애플리케이션에 영향을 주지 않고 기능 개발 지원

연속 테스트를 단위 테스트와 통합

개발 및 프로덕션 아티팩트 분리

테스트 된 코드를 프로덕션 코드로 병합하는 기능을 지원합니다.
솔루션 설계자는 이러한 요구 사항을 어떻게 충족해야 합니까?
A. CodeCommit 기능 분기에서 별도의 파이프 라인을 트리거합니다. 단위 테스트 실행에 AWS Lambda를 사용합니다. AWS CodeDeploy를 사용하여 별도의 테스트 계정에서 S3 버킷 내에 아티팩트를 준비합니다.
B. CodeCommit 기능 브랜치에서 별도의 파이프 라인을 트리거합니다. 단위 테스트 실행에 AWS CodeBuild를 사용합니다. CodeBuild를 사용하여 별도의 테스트 계정에서 S3 버킷 내에 아티팩트를 준비합니다.
C. 기능 개발을 위해 별도의 CodeCommit 리포지토리를 생성하고 이를 사용하여 파이프 라인을 트리거합니다. 단위 테스트 실행에 AWS Lambda를 사용합니다. AWS CodeBuild를 사용하여 동일한 프로덕션 계정의 서로 다른 S3 버킷 내에서 아티팩트를 준비합니다.
D. CodeCommit 태그에서 별도의 파이프 라인 트리거 단위 테스트 실행에 Jenkins를 사용합니다. 별도의 테스트 계정에서 S3 버킷을 사용하여 아티팩트를 스테이징하기 위한 대상으로 S3를 사용하여 파이프 라인에 단계를 생성합니다.
Answer: C
Explanation:
Explanation
https://docs.aws.amazon.com/codebuild/latest/userguide/how-to-create-pipeline.html

NEW QUESTION: 3
Many of the traditional concepts of systems and services for a traditional data center also apply to the cloud. Both are built around key computing concepts.
Which of the following compromise the two facets of computing?
A. Memory and networking
B. CPU and software
C. CPU and memory
D. CPU and storage
Answer: C
Explanation:
The CPU and memory resources of an environment together comprise its "computing" resources.
Cloud environments, especially public clouds, are enormous pools of resources for computing and are typically divided among a large number of customers with constantly changing needs and demands. Although storage and networking are core components of a cloud environment, they do not comprise its computing core. Software, much like within a traditional data center, is highly subjective based on the application, system, service, or cloud computing model used; however, it is not one of the core cloud components.