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NEW QUESTION: 1
For which purpose would you assign an Address book to a Profile?
A. For all users to see on the IPOCC and IP Office
B. For only specified agent to use this Address book
C. For the creating of Historical reports
D. To keep a tidy structure in the Address book menu
Answer: B
Explanation:
Referencehttps://downloads.avaya.com/css/P8/documents/101004804
NEW QUESTION: 2
Your company has computers that run Windows 8.1, Windows 10, or macOS.
The company uses Microsoft Intune to manage the computers.
You need to create an Intune profile to configure Windows Hello for Business on the computers that support it.
Which platform type and profile type should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/intune/endpoint-protection-configure
NEW QUESTION: 3
회사에는 이벤트 지속성을 위해 PostgreSQL 데이터베이스를 사용하는 온 프레미스 모니터링 솔루션이 있습니다.
과도한 수집으로 인해 데이터베이스를 확장 할 수 없으며 자주 스토리지가 부족합니다.
이 회사는 하이브리드 솔루션을 만들고 싶어하며 이미 네트워크와 AWS간에 VPN 연결을 설정했습니다. 솔루션에는 다음 속성이 포함되어야 합니다.
* 운영 복잡성을 최소화하는 관리 형 AWS 서비스.
* 데이터 처리량에 맞게 자동으로 확장되고 지속적인 관리가 필요하지 않은 버퍼.
* 대시 보드를 생성하여 거의 실시간으로 이벤트를 관찰하는 시각화 도구입니다.
* 반 구조화 된 JSON 데이터 및 동적 스키마 지원.
회사에서 이러한 요구 사항을 충족하는 모니터링 솔루션을 만들 수 있도록 하는 구성 요소 조합은 무엇입니까? (2 개 선택)
A. 이벤트를 버퍼링하기 위해 Amazon Kinesis 데이터 스트림을 생성합니다. 이벤트를 처리하고 변환 할 AWS Lambda 함수를 생성합니다.
B. 이벤트를 수신하도록 Amazon Aurora PostgreSQL DB 클러스터를 구성합니다. Amazon QuickSight를 사용하여 데이터베이스에서 읽고 거의 실시간 시각화 및 대시 보드를 생성합니다.
C. 이벤트를 수신하도록 Amazon Neptune DB 인스턴스를 구성합니다. Amazon QuickSight를 사용하여 데이터베이스에서 읽고 거의 실시간 시각화 및 대시 보드를 생성합니다.
D. Amazon Kinesis Data Firehose를 사용하여 이벤트를 버퍼링합니다. 이벤트를 처리하고 변환 할 AWS Lambda 함수를 생성합니다.
E. 이벤트를 수신하도록 Amazon Elasticsearch Service (Amazon ES)를 구성합니다. Amazon ES와 함께 배포 된 Kibana 엔드 포인트를 사용하여 거의 실시간 시각화 및 대시 보드를 생성합니다.
Answer: B,D
Explanation:
Explanation
https://aws.amazon.com/blogs/database/stream-data-into-an-aurora-postgresql-database-using-aws-dms-and-ama