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NEW QUESTION: 1
An administrator enables vSphere High Availability (HA) on an existing cluster with a large number of hosts
and virtual machines.
The administrator notices that the setup of vSphere HA on some of the hosts is failing.
What step, if taken, might resolve this issue?
A. Increase the value of the config.vpxd.das.electionWaitTimeSec setting.
B. Increase the value of the das.iostatsinterval setting.
C. Set the value of vpxd.das.aamMemoryLimit to 256.
D. Set the value of the das.useDefaultIsolationAddress setting to False.
Answer: A
NEW QUESTION: 2
You have an Azure SQL Database elastic database pool that contains two databases named database1 and database2.
Users of database1 report poor performance during peak business hours.
You discover that database2 consumes most of the available resources.
You need to resolve the performance issue.
What are two possible ways to achieve this goal? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Increase the number of elastic database transaction units (eDTUs) for the pool.
B. Lower the max value of the elastic database transaction units (eDTUs) for database2.
C. Decrease the number of elastic database transaction units (eDTUs) for the pool.
D. Increase the min value of the elastic database transaction units (eDTUs) for database2.
E. Change the value of the Max Degree Of Parallelism.
Answer: A,B
NEW QUESTION: 3
Which of the following statement about QoS in DiffServ mode is false?
A. Every device on the packet transmission paths can learn the service request types by analyzing the IP packet header.
B. DiffServ is a QoS solution based on packets.
C. Before sending packets, the application program needs to confirm that the network has reserved resources for packet transmission.
D. The parameter field in the IP packet header informs devices on the network of the QoS requirements of the application.
Answer: C
NEW QUESTION: 4
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 are implementing a batch processing solution by using Azure HDInsight.
You have two tables. Each table is larger than 250 TB. Both tables have approximately the same number of rows and columns.
You need to match the tables based on a key column. You must minimize the size of the data table that is produced.
What should you do?
A. Use an Azure Data Factory linked service that stores the data in an Azure DocumentDB database.
B. Use an Azure Data Factory linked service that stores the data in Azure Data Lake.
C. Increase the number of spark.executor.instances in an Apache Spark job that stores the data in a text format.
D. Use an action in an Apache Oozie workflow that stores the data in a text format.
E. Decrease the level of parallelism in an Apache Spark job that stores the data in a text format.
F. Use a broadcast join in an Apache Hive query that stores the data in an ORC format.
G. Use a shuffle join in an Apache Hive query that stores the data in a JSON format.
H. Increase the number of spark.executor.cores in an Apache Spark job that stores the data in a text format.
Answer: G
Explanation:
References: http://www.openkb.info/2014/11/understanding-hive-joins-in-explain.html