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NEW QUESTION: 1
Which two types and configurations of clustering are supported with Symantec Enterprise Vault 10 .0 for Exchange? (Select two.)
A. Windows Server Failover in an active/passive and N+1 configuration
B. Windows Server Failover in an active/active and N+1 configuration
C. Windows Server Failover and Veritas Cluster Server in a mixed mode
D. Veritas Cluster Server in an active/passive and N+1 configuration
E. Veritas Cluster Server in an active/active and N+1 configuration
Answer: A,D

NEW QUESTION: 2

A. Option C
B. Option A
C. Option D
D. Option B
Answer: D
Explanation:
When you press f and place an asterisk next to each field that you want displayed, esxtop will definitely display performance issues, if any.

NEW QUESTION: 3
Your customer wants an account balance-based allocation setup, with the source of selection being at the business unit master.
What are the steps to implement this?
A. Define Index Computations From and To business > Run Index Computation Compute and Print > Set Data selection
B. Define Index Computations From and To business Unit Object Range, and Rate Factor > Run Index Computation Compute and Print > Set Processing Option
C. Define Index Computations From and To business Unit Object Range, and Rate Factor > Run Index Computation Compute and Print > Set Data selection > Set Processing Option
D. Define Index Computations To business Unit Object Range, and Rate Factor > Run Index Computation Compute and Print > Set Data selection > Set Processing Option
Answer: B
Explanation:
Explanation/Reference:
Reference: https://docs.oracle.com/cd/E15156_01/e1apps90pbr0/eng/psbooks/1aga/chapter.htm?File=1aga/htm/1aga16.htm

NEW QUESTION: 4
あなたの会社は、ローカルデータセンターで実行されるApache SparkおよびHadoopジョブの数とサイズの急激な増加を予測しています。クラウドを利用して、最小限の運用作業とコード変更でこの今後の需要を拡大できるようにします。どの製品を使用する必要がありますか？
A. Google Cloud Dataflow
B. Google Compute Engine
C. Google Cloud Dataproc
D. Google Container Engine
Answer: C
Explanation:
Explanation
Google Cloud Dataproc is a fast, easy-to-use, low-cost and fully managed service that lets you run the Apache Spark and Apache Hadoop ecosystem on Google Cloud Platform. Cloud Dataproc provisions big or small clusters rapidly, supports many popular job types, and is integrated with other Google Cloud Platform services, such as Google Cloud Storage and Stackdriver Logging, thus helping you reduce TCO.
References: https://cloud.google.com/dataproc/docs/resources/faq