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NEW QUESTION: 1
You configure your hadoop cluster with mapreduce V1 (MRv1) along with HDFS high availability (HA) Quorum-based storage. On which nodes should you configure and run your journal node daemon(s) to guarantee a quorum?
A. standby namenode
B. Namenode, standby namenode and jobtracker
C. Namenode
D. On each datanode
E. Namenode and standby namenode
F. standby namenode, jobtracker, resourcemanager
G. Jobtracker
Answer: F
Explanation:
* JournalNode machines - the machines on which you run the JournalNodes. The JournalNode daemon is relatively lightweight, so these daemons may reasonably be collocated on machines with other Hadoop daemons, for example NameNodes, the JobTracker, or the YARN
ResourceManager.
Note: There must be at least 3 JournalNode daemons, since edit log modifications must be written
to a majority of JNs. This will allow the system to tolerate the failure of a single machine.
*In order to deploy an HA cluster, you should prepare the following: / NameNode machines / JournalNode machines
*Quorum-based Storage Quorum-based Storage refers to the HA implementation that uses Quorum Journal Manager (QJM).
In order for the Standby node to keep its state synchronized with the Active node in this implementation, both nodes communicate with a group of separate daemons called JournalNodes. When any namespace modification is performed by the Active node, it durably logs a record of the modification to a majority of these JournalNodes. The Standby node is capable of reading the edits from the JournalNodes, and is constantly watching them for changes to the edit log. As the Standby Node sees the edits, it applies them to its own namespace. In the event of a failover, the Standby will ensure that it has read all of the edits from the JournalNodes before promoting itself to the Active state. This ensures that the namespace state is fully synchronized before a failover occurs.
In order to provide a fast failover, it is also necessary that the Standby node has up-to-date information regarding the location of blocks in the cluster. In order to achieve this, the DataNodes are configured with the location of both NameNodes, and they send block location information and heartbeats to both.

NEW QUESTION: 2
How does managed .NET code use an unmanaged COM object?
A. The CLR uses events to create asynchronous calls to unmanaged code.
B. The CLR runs managed code and unmanaged code in separate threads.
C. The CLR uses shared assemblies to communicate between managed code and unmanaged code.
D. The CLR creates a runtime callable wrapper (RCW) that acts as a proxy for the unmanaged object.
Answer: D

NEW QUESTION: 3
한 마케팅 회사가 PostgreSQL 데이터베이스의 온 프레미스에 데이터를 저장하는 애플리케이션을 m-grating하고 있습니다. 회사는 데이터베이스를 Amazon Aurora PostgreSQL로 마이그레이션하려고 합니다. 데이터베이스 크기는 매일 평균 5GB의 속도로 증가하며 현재는 50TB입니다. 데이터 센터는 50Mbps의 사용 가능한 대역폭으로 인터넷에 연결되어 있습니다. AWS 로의 마이그레이션은 다음 45 일 이내에 가능한 한 빨리 완료되어야 합니다.
애플리케이션 다운 타임을 최소화 하면서 이러한 요구 사항을 충족하는 데이터 전송 전략은 무엇입니까?
A. 응용 프로그램을 오프라인으로 전환합니다. 공유 로컬 파일 시스템으로 데이터베이스를 백업합니다. 데이터 센터의 VM에 AWS DataSync 에이전트를 설치합니다. 파일 시스템을 원본 위치로 구성하고 Amazon S3 버킷을 대상으로 구성합니다. 기본 데이터베이스 도구를 사용하여 백업을 새 데이터베이스로 복원하십시오. 데이터베이스 연결 문자열을 수정하고 응용 프로그램을 온라인 상태로 만듭니다.
B. 애플리케이션을 오프라인으로 전환합니다. 데이터베이스의 로컬 백업을 만듭니다. Amazon S3 버킷에 대한 기존 연결을 통해 데이터베이스 백업 파일을 전송합니다. 기본 데이터베이스 도구를 사용하여 백업을 새 데이터베이스로 복원하고 복제를 설정합니다. 백업 이후 모든 변경 사항을 캡처합니다. 데이터베이스 연결 문자열을 수정하고 응용 프로그램을 온라인 상태로 만듭니다.
C. 로컬 데이터 센터에 서버 마이그레이션 커넥터 VM을 설치합니다. AWS Server Migraton 서비스 (AWS SMS) 콘솔을 사용하여 온 프레미스 데이터베이스를 새 데이터베이스에 복제합니다. 새 데이터베이스를 가리 키도록 DNS 레코드를 수정합니다.
D. 데이터베이스의 로컬 백업을 생성하고 백업을 AWS Snowball Edge Storage Optimized 디바이스에 복사합니다. 디바이스를 AWS로 캡처합니다. 기본 데이터베이스 도구를 사용하여 Amazon S3에서 새 데이터베이스로 백업을 복원하고 원본 데이터베이스로 복제를 설정하여 '.he 백업 이후의 모든 변경 사항을 캡처합니다. DNS 레코드를 수정하여 새 데이터베이스에 보관합니다.
Answer: D