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NEW QUESTION: 1
Which two options are interface requirements for turbo flooding? (Choose two.)
A. The interface is configured for 802.1Q encapsulation.
B. The interface is configured for ARPA encapsulation.
C. The interface is PPP.
D. The interface is Ethernet.
E. The interface is configured for GRE encapsulation.
Answer: B,D
Explanation:
Explanation/Reference:
Explanation:
In the switch, the majority of packets are forwarded in hardware; most packets do not go through the switch CPU. For those packets that do go to the CPU, you can speed up spanning tree-based UDP flooding by a factor of about four to five times by using turbo-flooding. This feature is supported over Ethernet interfaces configured for ARPA encapsulation.
Reference. http://www.cisco.com/c/en/us/td/docs/switches/metro/me3400/software/release/12- 2_50_se/ configuration/guide/scg/swiprout.html

NEW QUESTION: 2
Choose three reasons why should you run the HDFS balancer periodically?
A. To ensure that there is consistent disk utilization across the DataNodes
B. To improve data locality MapReduce
C. To ensure that all blocks in the cluster are 128MB in size
D. To help HDFS deliver consistent performance under heavy loads
E. To ensure that there is capacity in HDFS for additional data
Answer: A,B,D
Explanation:
http://www.quora.com/Apache-Hadoop/It-is-recommended-that-you-run-the-HDFS-balancerperiodically-Why-Choose-3

NEW QUESTION: 3
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 수행해야하는 작업은 무엇입니까?
A. 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.
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. 비디오 파일을 Amazon S3에 직접 업로드하도록 웹 애플리케이션을 수정하십시오. 파일이 업로드 될 때마다 Amazon CloudWatch Events를 사용하여 AWS Lambda 함수를 트리거하고이 Lambda 함수가 메시지를 Amazon SQS 대기열에 넣도록합니다. 새 파일에 대한 SQS 대기열에서 읽도록 비디오 처리 응용 프로그램을 수정하고 큐 깊이 메트릭을 사용하여 비디오 처리 Auto Scaling 그룹의 인스턴스를 조정하십시오.
Answer: D