Each node in your Hadoop cluster, running YARN, has 64GB memory and 24 cores. Your
yarn.site.xml has the following configuration:
<property>
<name>yarn.nodemanager.resource.memory-mb</name>
<value>32768</value>
</property>
<property>
<name>yarn.nodemanager.resource.cpu-vcores</name>
<value>12</value>
</property>
You want YARN to launch no more than 16 containers per node. What should you do?

A.
Modify yarn-site.xml with the following property:
<name>yarn.scheduler.minimum-allocation-mb</name>
<value>2048</value>
B.
Modify yarn-sites.xml with the following property:
<name>yarn.scheduler.minimum-allocation-mb</name>
<value>4096</value>
C.
Modify yarn-site.xml with the following property:
<name>yarn.nodemanager.resource.cpu-vccores</name>
D.
No action is needed: YARN’s dynamic resource allocation automatically optimizes the node
memory and cores
A is the right one
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A, 32768/12 = 2048
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A, 32768/(16) = 2048
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Answer is A
Maximum memory YARN can utilize on the node
———————————————– = minimum memory per container
Number of containers
32768
—— = 2048
16
http://hortonworks.com/blog/how-to-plan-and-configure-yarn-in-hdp-2-0/
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but with the configuration, you dont have enough vcores to support 16 tasks. need to change vcores to 16 so that each task has one vcore
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Thanks Sijo,
your ref. link is definitely
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A is correct almost 32/2=16
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A is correct
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http://hortonworks.com/blog/how-to-plan-and-configure-yarn-in-hdp-2-0/
The link posted by Sijo has Exact information required.
The Answer is A
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