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NEW QUESTION: 1
Which of the following descriptions of refactoring is incorrect?
A. reconstruction has an impact on RAID performance
B. Reconstruction will not interrupt RAID business
C. RAID 0,1,3,5,6 and 10 support reconstruction
D. Reconfiguration does not necessarily require hot spare disks
Answer: C

NEW QUESTION: 2
Which method of quantifying risk exposure can be used to calculate the maximum loss on a portfolio occurring within a period of time with a given probability?
A. Value at Risk
B. Simulation
C. Expected value
D. Regression analysis
Answer: C

NEW QUESTION: 3
会社には、異なるクラスタータイプを使用してデータを処理および分析するMicrosoft Azure HDInsightソリューションがあります。操作は継続的です。
レポートは、特定のライムウィンドウ中のスローダウンを示します。
最短時間で問題を追跡するには、監視ソリューションを決定する必要があります。
何を使うべきですか？
A. Azure Log Analytics alert rule query
B. HDInsight .NET SDK
C. Azure Log Analytics log search query
D. Ambari REST API
E. Azure Monitor Metrics
Answer: D
Explanation:
Explanation
Ambari is the recommended tool for monitoring the health for any given HDInsight cluster.
Note: Azure HDInsight is a high-availability service that has redundant gateway nodes, head nodes, and ZooKeeper nodes to keep your HDInsight clusters running smoothly. While this ensures that a single failure will not affect the functionality of a cluster, you may still want to monitor cluster health so you are alerted when an issue does arise. Monitoring cluster health refers to monitoring whether all nodes in your cluster and the components that run on them are available and functioning correctly.
Ambari is the recommended tool for monitoring utilization across the whole cluster. The Ambari dashboard shows easily glanceable widgets that display metrics such as CPU, network, YARN memory, and HDFS disk usage. The specific metrics shown depend on cluster type. The "Hosts" tab shows metrics for individual nodes so you can ensure the load on your cluster is evenly distributed.
References:
https://azure.microsoft.com/en-us/blog/monitoring-on-hdinsight-part-1-an-overview/