775html Support analysts who run applications that will

775html support analysts who run applications that

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* Support analysts who run applications that will use REST to submitSpark jobs.* Business analysts who use JDBC and ODBC client applications froma real-time view. The business analysts run monitoring quires toaccess aggregate result for 15 minutes. The result will be referencedby subsequent quires.* Data analysts who publish notebooks drawn from batch layer, servinglayer and speed layer queries. All of the notebooks must support nativeinterpreters for data sources that are bath processed. The serving layerqueries are written in Apache Hive and must support multiple sessions.Unique GUIDs are used across the data sources, which allow the dataanalysts to use Spark SQL.The data sources in the batch layer share a common storagecontainer. The Following data sources are used:* Hive for sales data* Apache HBase for operations data* HBase for logistics data by suing a single region server.End of Repeated scenario.You need to ensure that the analysts can query the logistics data byusing JDBC APIs and SQL APIs. Which technology should youimplement? A.Apache PhoenixB.Apache SparkC.Apache StormD.Apache HiveAnswer: D 11.You are configuring the Hive views on an Azure HDInsight clusterthat is configured to use Kerberos.You plan to use the YARN loos to troubleshoot a query that runsagainst Apache Hadoop. You need to view the method, the service,and the authenticated account used to run the query. Which methodcall should you view in the YARN logs?
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12.Note: This question is part of a series of questions that present thesame Scenario. Each question I the series contains a unique solutionthat might meet the stated goals. Some question sets might have morethan one correct solution while others might not have correct solution.Start of Repeated Scenario:You are planning a big data infrastructure by using an Apache SparkCluster in Azure HDInsight. The cluster has 24 processor cores and512 GB of memory.The Architecture of the infrastructure is shown in the exhibit:The architecture will be used by the following users:* Support analysts who run applications that will use REST to submitSpark jobs.* Business analysts who use JDBC and ODBC client applications froma real-time view. The business analysts run monitoring quires toaccess aggregate result for 15 minutes. The result will be referencedby subsequent quires.* Data analysts who publish notebooks drawn from batch layer, servinglayer and speed layer queries. All of the notebooks must support nativepage 10 / 18
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