Microsoft 70-775 Online Practice Questions and Exam Preparation

Microsoft 70-775 Online Questions & Answers

• Question 31:

  HOTSPOT

  You install the Microsoft Hive ODBC Driver on a computer that runs Windows 10 and has the 64-bit version of Microsoft Office 2016 installed.

  You deploy a new Apache Interactive Hive cluster in Azure HDInsight. The cluster is hosted at myHDICluster.azurehdinsight.net and contains a Hive table name hivesampletable that has 200,000 rows.

  You plan to use HiveQL exclusively for the queries. The queries will return from 6,000 to 10,000 rows 90 percent of the time.

  You need to configure a data source to ensure that you can use Microsoft Excel to access the data. The solution must ensure that the Hive queries execute as quickly as possible.

  How should you configure the Advanced Options from the Microsoft Hive ODBC Driver DSN Setup dialog box? To answer, select the appropriate options in the answer area.

  NOTE: Each correct selection is worth one point.

  Hot Area:

  

  

• Question 32:

  Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is

  exactly the same in each question in this series.

  You are planning a big data infrastructure by using an Apache Spark cluster in Azure HDInsight. The cluster has 24 processor cores and 512 GB of memory.

  The architecture of the infrastructure is shown in the exhibit. (Click the Exhibit button.)

  

  The architecture will be used by the following users:

  The data sources in the batch layer share a common storage container. The following data sources are used:

  The business analysts report that they experience performance issues when they run the monitoring queries.

  You troubleshoot the performance issues and discover that the intermediate tables generated when the analysts run the queries cause pressure for the Java Virtual Machine (JVM) garbage collection per job.

  Which configuration settings should you modify to alleviate the performance issues?

  A. spark.sql.inMemoryColumnarStorage.batchSize
  B. spark.sql.broadcastTimeout
  C. spark.sql.files.openCostInBytes
  D. spark.sql.shuffle.partitions
  D. spark.sql.shuffle.partitions

• Question 33:

  Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.

  You need to deploy an enterprise data warehouse that will support in-memory analytics. The data warehouse must support connections that use the Microsoft Hive ODBC Driver and Beeline. The data warehouse will be managed by using Apache Amrabi only.

  What should you do?

  A. Use an Azure PowerShell script to create and configure a premium HDInsight cluster. Specify Apache Hadoop as the cluster type and use Linux as the operating system.
  B. Use the Azure portal to create a standard HDInsight cluster. Specify Apache Spark as the cluster type and use Linux as the operating system.
  C. Use an Azure PowerShell script to create a standard HDInsight cluster. Specify Apache HBase as the cluster type and use Windows as the operating system.
  D. Use an Azure PowerShell script to create a standard HDInsight cluster. Specify Apache Storm as the cluster type and use Windows as the operating system.
  E. Use an Azure PowerShell script to create a premium HDInsight cluster. Specify Apache HBase as the cluster type and use Linux as the operating system.
  F. Use an Azure portal to create a standard HDInsight cluster. Specify Apache Interactive Hive as the cluster type and use Linux as the operating system.
  G. Use an Azure portal to create a standard HDInsight cluster. Specify Apache HBase as the cluster type and use Linux as the operating system.
  F. Use an Azure portal to create a standard HDInsight cluster. Specify Apache Interactive Hive as the cluster type and use Linux as the operating system.

• Question 34:

  You have an Apache Spark cluster in Azure HDInsight.

  You plan to join a large table and a lookup table.

  You need to minimize data transfers during the join operation.

  What should you do?

  A. Use the reduceByKey function.
  B. Use a Broadcast variable.
  C. Repartition the data.
  D. Use the DISK_ONLY storage level.
  B. Use a Broadcast variable.

• Question 35:

  You have an Apache Hive table that contains one billion rows.

  You plan to use queries that will filter the data by using the WHERE clause. The values of the columns will be known only while the data loads into a Hive table.

  You need to decrease the query runtime.

  What should you configure?

  A. static partitioning
  B. bucket sampling
  C. parallel execution
  D. dynamic partitioning
  C. parallel execution