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NEW QUESTION: 1
Refer to the configuration exhibit.
What will happen when this router receives an IGMPv3 exclude none report for group 232.1.1.1?
A. The router will propagate a (*, 239.1.1.1) join towards RP if it exists
B. The router will randomly pick a source from 192.168.1.1 and 192.168.1.2 and send an (S, G)join
towards the source
C. The IGMPv3 report will be dropped and a log about misconfiguration will be generated
D. The router will send a PIM (192.168.1.1,232.1.1.1) Join
Answer: D
NEW QUESTION: 2
A Veritas Enterprise Vault 12.x administrator activated Auditing at the Directory level. During this process, the administrator created the audit database and can log onto the SQL server without errors. When checking the content of the audit database, the administrator notices that nothing is being audited.
How should the administrator resolve this issue?
A. after enabling on the Enterprise Vault Directory, restart the Enterprise Vault Admin Service level
B. enable Auditing in the Enterprise Vault Site properties in the VAC and select the auditing options
C. enable Auditing in the Exchange Server properties in the VAC and select the auditing options
D. enable Auditing in the Enterprise Vault Server properties in the VAC and select the auditing options
Answer: D
NEW QUESTION: 3
자신의 데이터를 분석하기 위해 데이터웨어 하우스를 지불하는 대안으로 Amazon Redshift를 고객에게 추천 한 후 고객은 Redshift를 추천하는 이유를 설명하도록 요청합니다. 다음 중 그의 요청에 대한 합리적인 답변은 무엇입니까?
A. 나열된 모든 답변은 그의 질문에 대한 합리적인 답변입니다.
B. 자체 데이터웨어 하우스를 실행하고 설정, 내구성, 모니터링, 확장 및 패치를 처리해야하는 관리 부담이 없습니다.
C. 데이터 및 쿼리 복잡성이 증가함에 따라 대규모의 성능을 제공합니다.
D. 보고 및 분석 처리가 OLTP 워크로드의 성능을 방해하지 못하게합니다.
Answer: A
Explanation:
설명:
Amazon Redshift는 열 스토리지 기술을 사용하여 I / O 효율성을 개선하고 여러 노드에서 쿼리를 병렬화함으로써 빠른 쿼리 성능을 제공합니다. Redshift는 표준 PostgreSQL JDBC 및 ODBC 드라이버를 사용하므로 다양한 친숙한 SQL 클라이언트를 사용할 수 있습니다.
데이터로드 속도는 Amazon S3, Amazon DynamoDB, Amazon Elastic MapReduce, Amazon Kinesis 또는 모든 SSH 지원 호스트에 통합되어 클러스터 크기에 따라 선형으로 확장됩니다. AWS는 다음과 같은 요구 사항이 조합 된 고객에게 Amazon Redshift를 권장합니다.
데이터 및 쿼리 복잡성이 증가함에 따라 대규모의 성능보고 및 분석 처리가 OLTP 워크로드의 성능을 방해하지 않도록하고자합니다. 표준 SQL 및 기존 BI 도구를 사용하여 유지 및 쿼리 할 대량의 구조화 된 데이터 자체 실행의 관리 부담 데이터웨어 하우스 및 설정, 내구성, 모니터링, 스케일링 및 패치 처리 참조 : https://aws.amazon.com/running_databases/#redshift_anchor
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