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.
yarn.application.child.java.opts=-Xmx3072m
C.
mapreduce.map.java.opts=-Xms3072m
D.
mapreduce.map.java.opts=-Xmx3072m
Explanation:
http://hortonworks.com/blog/how-to-plan-and-configure-yarn-in-hdp-2-0/
I think D is correct ,-Xmx not -Xms ,find this in the document http://doc.mapr.com/display/MapR/mapred-site.xml
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Answer should be ‘D’
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correct answer is D
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Should be D i.e -Xmx3072m
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I have the same idea. C
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Could someone please confirm that CCA – 500 exam pattern is multi choice questions only, not practical one?
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CCA-500 was MCQ based exam. but it has been expired from 30 april. Now, new exam is CCA-131, which is a totally practical exam similar to Hortonworks HDPCA.
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