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NEW QUESTION: 1

A. Option C
B. Option A
C. Option D
D. Option B
Answer: D

NEW QUESTION: 2
Click the Exhibit button.
-- Exhibit -user@srx240< show route summary Router ID. inet.0: 3 destinations, 3 routes (3 active, 0 holddown, 0 hidden) Direct: 1 routes, 1 active Local: 1 routes, 1 active StatiC.1 routes, 1 active customer-A.inet.0: 3 destinations, 3 routes (3 active, 0 holddown, 0 hidden) Direct: 1 routes, 1 active Local: 1 routes, 1 active StatiC.1 routes, 1 active customer-B.inet.0: 4 destinations, 4 routes (4 active, 0 holddown, 0 hidden) Direct: 1 routes, 1 active Local: 1 routes, 1 active OSPF.1 routes, 1 active StatiC.1 routes, 1 active customer-B.inet6.0: 5 destinations, 5 routes (5 active, 0 holddown, 0 hidden) Direct: 2 routes, 2 active Local: 2 routes, 2 active StatiC.1 routes, 1 active -- Exhibit -
In the output, how many user-configured routing instances have active routes?
A. 0
B. 1
C. 2
D. 3
Answer: B
Explanation:
Reference:http://www.juniper.net/techpubs/en_US/junos11.4/topics/reference/commandsummary/show-route-summary.html#jd0e185

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 수행해야 하는 작업은 무엇입니까?
A. 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.
B. 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.
C. 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.
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: A

NEW QUESTION: 4
Which of the following statements are true about this extract from a histogram?
5 0.00526000 <="T20051"
6 0.00526000 <="T23041"
7 0.00179000 <="T274000"
8 0.12260000 <="T27400"
9 0.00526000 <="T29382"
10 0.00526000 <="T31228"
A. Step 10 describes the percentage of nulls in the column.
B. Step 8 is a frequency count cell.
C. Value greater than T27400 and less than T31228 make up 1.052%of the table.
D. Value greater than T23041 and less than T27400 make up 12.26%of the table.
E. This column has a unique index on it.
Answer: B,C