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NEW QUESTION: 1
A. Option E
B. Option A
C. Option B
D. Option C
E. Option D
Answer: A,E
Explanation:
The first step when allowing a virtual machine to have connectivity to a physical network is to create an external virtual switch using Virtual Switch Manager in Hyper-V Manager. The additional step that is necessary when using SR-IOV is to ensure the checkbox is checked when the virtual switch is being created. It is not possible to change a "non SR-IOV mode" external virtual switch into an "SR-IOV mode" switch. The choice must be made a switch creation time. Thus you should first delete the existing virtual switch and then recreate it.
E: Once a virtual switch has been created, the next step is to configure a virtual machine. SR-IOV in Windows Server "8" is supported on x64 editions of Windows "8" as a guest operating system (as in Windows "8" Server, and Windows "8" client x64, but not x86 client).We have rearranged the settings for a virtual machine to introduce sub-nodes under a network adapter, one of which is the hardware acceleration node. At the bottom is a checkbox to enable SR-IOV.
NEW QUESTION: 2
회사는 비디오 처리 플랫폼을 운영합니다. 웹 서버에 연결 한 사용자가 파일을 업로드하여 Amazon EFS 공유에 저장합니다. 이 웹 서버는 단일 Amazon EC2 인스턴스에서 실행 중입니다. Auto Scaling 그룹에서 실행되는 다른 인스턴스 그룹은 EFS 공유 디렉토리 구조를 스캔하여 처리 할 새 파일을 찾고 지침 파일에 따라 새 비디오 (축소판, 다른 해상도, 압축 등)를 생성합니다. 비디오 파일. Auto Scaling 그룹이 관리하는 인스턴스 그룹에서 실행중인 다른 애플리케이션이 비디오 파일을 처리 한 다음 EFS 공유에서 삭제합니다. 결과는 S3 버킷에 저장됩니다. 처리 된 비디오 파일에 대한 링크는 고객에게 이메일로 발송됩니다.
이 회사는 최근 Auto Scaling Group에 인스턴스를 추가할수록 많은 파일이 두 번 처리되므로 이미지 처리 속도가 향상되지 않는다는 것을 발견했습니다. 이 비디오 파일의 최대 크기는
2GB
안정성을 개선하고 비디오 파일의 중복 처리를 줄이려면 Solutions Architect가 수행해야 하는 작업은 무엇입니까?
A. 비디오 파일을 Amazon S3에 직접 업로드하도록 웹 애플리케이션을 수정하십시오. 파일이 업로드 될 때마다 Amazon CloudWatch Events를 사용하여 AWS Lambda 함수를 트리거하고 이 Lambda 함수가 메시지를 Amazon SQS 대기열에 넣도록 합니다. 새 파일에 대한 SQS 대기열에서 읽도록 비디오 처리 응용 프로그램을 수정하고 큐 깊이 메트릭을 사용하여 비디오 처리 Auto Scaling 그룹의 인스턴스를 조정십시오.
B. Amazon S3에서 직접 실행되도록 웹 애플리케이션을 다시 작성하고 Amazon API Gateway를 사용하여 비디오 파일을 S3 버킷에 업로드하십시오. 파일을 업로드 할 때마다 S3 트리거를 사용하여 AWS Lambda 함수를 실행하여 새 비디오 파일을 다른 버킷에 처리하고 저장할 수 있습니다. CloudWatch Events를 사용하여 SES 작업을 트리거하여 처리 된 파일에 대한 링크가 포함 된 이메일을 고객에게 보냅니다.
C. 웹 서버 인스턴스에서 cron 작업을 설정하여 EFS 공유의 내용을 Amazon S3에 동기화합니다. 비디오 파일을 처리하고 결과를 Amazon S3에 저장하기 위해 파일을 업로드 할 때마다 AWS Lambda 함수를 트리거하십시오. Amazon CloudWatch Events를 사용하면 Amazon SES 작업이 트리거되어 처리 된 파일에 대한 링크가 포함 된 이메일을 고객에게 보냅니다.
D. Amazon S3에서 실행할 웹 애플리케이션을 다시 작성하고 비디오 파일을 S3 버킷에 업로드하십시오. 새 파일이 업로드 될 때마다 AWS Lambda 함수를 트리거하여 링크와 지침이 포함 된 메시지를 SQS 대기열에 넣습니다. 비디오 처리 응용 프로그램을 수정하여 SQS 대기열 및 S3 버킷에서 읽습니다. 큐 깊이 메트릭을 사용하여 비디오 처리 인스턴스에 대한 Auto Scaling 그룹의 크기를 조정하십시오.
Answer: C
NEW QUESTION: 3
If you're trying to configure an AWS Elastic Beanstalk worker tier for easy debugging if there are problems
finishing queue jobs, what should you configure?
A. ConfigureBlue-Green Deployments.
B. ConfigureRolling Deployments.
C. ConfigureEnhanced Health Reporting.
D. Configure a Dead Letter Queue.
Answer: D
Explanation:
Explanation
The AWS documentation mentions the following on dead-letter queues
Amazon SQS supports dead-letter queues. A dead-letter queue is a queue that other (source) queues can target
for messages that can't be processed (consumed)
successfully. You can set aside and isolate these messages in the dead-letter queue to determine why their
processing doesn't succeed.
For more information on dead letter queues please visit the below link
http://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs-dead-letter-queues.
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