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NO.1 You are running a Hadoop cluster with MapReduce version 2 (MRv2) on YARN. You consistently
see that MapReduce map tasks on your cluster are running slowly because of excessive garbage
collection of JVM, how do you increase JVM heap size property to 3GB to optimize performance?
A. yarn.application.child.java.opts=-Xsx3072m
B. mapreduce.map.java.opts=-Xmx3072m
C. yarn.application.child.java.opts=-Xmx3072m
D. mapreduce.map.java.opts=-Xms3072m
Answer: D

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Reference: http://hortonworks.com/blog/how-to-plan-and-configure-yarn-in-hdp-2-0/

NO.2 During the execution of a MapReduce v2 (MRv2) job on YARN, where does the Mapper place
the intermediate data of each Map Task?
A. The Mapper stores the intermediate data on the underlying filesystem of the local disk in the
directories yarn.nodemanager.locak-DIFS
B. The Mapper stores the intermediate data on the node running the Job's ApplicationMaster so that
it is available to YARN ShuffleService before the data is presented to the Reducer
C. The Mapper transfers the intermediate data immediately to the reducers as it is generated by the
Map Task
D. The Mapper stores the intermediate data in HDFS on the node where the Map tasks ran in the
HDFS /usercache/&(user)/apache/application_&(appid) directory for the user who ran the job
E. YARN holds the intermediate data in the NodeManager's memory (a container) until it is
transferred to the Reducer
Answer: A

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Exam Code: CCA-500
Exam Name: Cloudera Certified Administrator for Apache Hadoop (CCAH)
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CCA-500 Training Materials Total Q&A: 60 Questions and Answers
Last Update: 2016-11-13

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