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NEW QUESTION: 1
How can a custom Fixlet are created which locks the constraints and makes other operators unable to alter them?
A. On the Relevance tab of the Create Fixlet dialog, click on the Pre-define Action constraints.
B. On the Properties tab of the Create Fixlet dialog, lock the action constraints beforehand.
C. On the Actions tab of the Create Fixlet dialog, select Lock Constraints from the Script Type dropdown.
D. On the Actions tab of the Create Fixlet dialog, click on the Include Action settings locks.
Answer: D
NEW QUESTION: 2
Where is application access defined?
A. Rights application
B. Security Groups application
C. Access application
D. Application Definition application
Answer: B
Explanation:
Explanation/Reference:
Explanation:
NEW QUESTION: 3
Scenario: The Controller failed in a XenDesktop Site.
A Citrix Administrator was able to quickly bring it back online.
Immediately after bringing the Controller back online, another
Citrix Administrator noticed that many virtual machines were listed as Unregistered in Director.
What is the probable reason the machines were listed as Unregistered?
A. Windows Firewall is NOT properly configured.
B. The virtual machines were suspended.
C. It can take up to 10 minutes for VDAs to reregister.
Answer: B
Explanation:
If any Virtual Desktop Agents were running when Controller services were shut down, it could take up to 10 minutes before the Virtual Desktop Agents reregister.
NEW QUESTION: 4
가스 회사는 파이프 라인의 가스 압력을 모니터링해야 합니다. 압력 데이터는 파이프 라인 전체에 배치 된 센서에서 스트리밍되어 실시간으로 데이터를 모니터링합니다. 이상이 감지되면 시스템은 개방 밸브에 알림을 보내야합니다. Amazon Kinesis 스트림은 센서에서 데이터를 수집하고 비정상적인 Kinesis 스트림은 AWS Lambda 기능을 트리거하여 적절한 밸브를 엽니 다.
실시간으로 이례적으로 대처하는데 MOST가 가장 효과적인 솔루션은 무엇입니까?
A. 스트림을 소비하고 시간 경과에 따라 센서 데이터를 집계하여 예외를 식별하는 Kinesis 클라이언트 라이브러리 애플리케이션으로 Amazon EC2 인스턴스를 시작하십시오. 이상이 감지되면 응용 프로그램은 비정상 스트림으로 메시지를 보내 밸브를 엽니다.
B. RANDOM_CUT_FOREST 함수를 사용하여 이상을 감지하여 Kinesis Analytics 애플리케이션을 작성하십시오. 함수에서 반환 된 예외 점수가 허용 범위를 벗어나면 비정상 스트림으로 메시지가 전송되어 밸브가 열립니다.
C. Spark Streaming을 사용하여 Kinesis 스트림에 연결하는 Amazon EMR 클러스터를 시작하고 이상 징후를 감지하는 Spark 시스템 학습을 시작합니다. 변경 사항이 감지되면 Spark 응용 프로그램은 밸브를 열기 위해 비정상 스트림으로 메시지를 전송합니다.
D. Kinesis Firehose를 스트림에 연결하고 Amazon S3 버킷에 센서 데이터를 저장합니다.
이상을 식별하기 위해 Amazon S3의 데이터에 대해 Amazon Athena에서 쿼리를 실행하도록 AWS Lambda 함수를 예약하십시오. 변화가 감지되면, 람다 함수는 밸브를 열기 위해 이상 흐름에 메시지를 보낸다.
Answer: D