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NEW QUESTION: 1
Your network contains a server named Server1 that runs Windows Server 2012. Server1
has the Hyper-V server role installed.
Server1 hosts four virtual machines named VM1, VM2, VM3, and VM4.
Server1 is configured as shown in the following table.
You install a network monitoring application on VM2.
You need to ensure that all of the traffic sent to VM3 can be captured on VM2.
What should you configure?
A. Processor Compatibility
B. Virtual Machine Chimney
C. Single-root I/O virtualization
D. Integration Services
E. NUMA topology
F. Automatic Start Action
G. The startup order
H. Resource metering
I. The VLAN ID
J. Port mirroring
K. Resource control
Answer: J
Explanation:
Explanation/Reference: With Hyper-V Virtual Switch port mirroring, you can select the switch ports that are monitored as well as the switch port that receives copies of all the traffic. And since Port mirroring allows the network traffic of a virtual machine to be monitored by copying the traffic and forwarding it to another virtual machine that is configured for monitoring, you should configure port mirroring on VM2.
NEW QUESTION: 2
Which of the following statements describes field aliases?
A. Field alias names replace the original field name.
B. Field alias names are not case sensitive when used as part of a search.
C. Field aliases only normalize data across sources and sourcetypes.
D. Field aliases can be used in lookup file definitions.
Answer: B
NEW QUESTION: 3
무선 서비스를 제공하는 회사는 사용자 활동에 대한 로그 파일을 저장하고 분석 할 수 있는 솔루션이 필요합니다. 현재 로그 파일은 Amazon EC2 인스턴스의 Amazon Linux에 매일 제공됩니다. 타사 도구에서 분석에 사용되는 데이터를 집계하기 위해 배치 스크립트가 하루에 한 번 실행됩니다. 타사 도구로 푸시 된 데이터는 최종 사용자를 위한 시각화를 생성하는 데 사용됩니다. 배치 스크립트는 유지 관리가 번거롭고 계속 증가하는 데이터 볼륨을 타사 도구에 제공하는 데 몇 시간이 걸립니다. 이 회사는 비용 절감을 원하며 개발 노력을 최소화하고 관리 오버 헤드를 줄이는 새로운 도구를 고려하고 있습니다. 이 회사는 최소한의 오버 헤드로 거의 실시간으로 분석을 저장하고 수행 할 수 있는 보다 민첩한 솔루션을 구축하고자 합니다. 솔루션은 회사의 최종 사용자 기반 성장에 맞게 비용 효율적이고 확장 가능해야 합니다.
회사의 요구 사항을 충족하는 솔루션은 무엇입니까?
A. Amazon EBS에 최적화 된 EC2 인스턴스에서 실행되는 인 메모리 캐싱 애플리케이션을 사용하여 거의 실시간으로 로그 데이터를 캡처합니다. 동일한 EC2 인스턴스에 Amazon ES 클러스터를 설치하여 거의 실시간으로 Amazon EC2로 전송되는 로그 파일을 저장합니다. Kibana 플러그인을 설치하여 시각화를 만듭니다.
B. Auto Scaling 그룹의 EC2 인스턴스에서 실행되는 Amazon Kinesis 에이전트를 사용하여 데이터를 수집하여 Amazon Kinesis Data Forehose 전송 스트림으로 보냅니다. Kinesis Data Firehose 전송 스트림은 데이터를 Amazon ES로 직접 전송합니다. Kibana를 사용하여 데이터를 시각화하십시오.
C. EC2 인스턴스에서 실행되는 Amazon Kinesis 에이전트를 사용하여 데이터를 수집하고 Amazon Kinesis Data Firehose 전송 스트림으로 보냅니다. Kinesis Data Firehose 전송 스트림은 데이터를 Amazon S3로 전송합니다. AWS Lambda 함수를 사용하여 Amazon S3에서 Amazon ES로 데이터를 전송합니다. Kibana를 사용하여 데이터를 시각화하십시오.
https://docs.aws.amazon.com/firehose/latest/dev/writing-with-agents.html
D. Amazon EC2의 데이터를 실시간으로 실패하고 Amazon S3에 데이터를 저장하는 Python 스크립트를 개발합니다. 복사 명령을 사용하여 Amazon S3에서 Amazon Redshift로 데이터를 복사합니다. Amazon EC2에서 실행되는 비즈니스 인텔리전스 도구를 Amazon Redshift에 연결하고 시각화를 생성합니다.
Answer: B