CCA-500 · Question #48
Your cluster's mapred-start.xml includes the following parameters <name>mapreduce.map.memory.mb</name> <value>4096</value> <name>mapreduce.reduce.memory.mb</name> <value>8192</value> And any…
The correct answer is D. 8.2 GB. In order to get maximum amount of virtual memory allocated for each map task, you have to multiply mapreduce.map.memory.mb with yarn.nodemanager.vmen-pmen-ration. The result would be 8601.6 MB. So the nearest answer is 8.2 since 8.9 is more than 8601.6 MB…
Question
Your cluster's mapred-start.xml includes the following parameters <name>mapreduce.map.memory.mb</name> <value>4096</value> <name>mapreduce.reduce.memory.mb</name> <value>8192</value> And any cluster's yarn-site.xml includes the following parameters <name>yarn.nodemanager.vmen-pmen-ration</name> <value>2.1</value> What is the maximum amount of virtual memory allocated for each map task before YARN will kill its Container?
Options
- A4 GB
- B17.2 GB
- C8.9GB
- D8.2 GB
- E24.6 GB
How the community answered
(23 responses)- B9% (2)
- C9% (2)
- D78% (18)
- E4% (1)
Explanation
In order to get maximum amount of virtual memory allocated for each map task, you have to multiply mapreduce.map.memory.mb with yarn.nodemanager.vmen-pmen-ration. The result would be 8601.6 MB. So the nearest answer is 8.2 since 8.9 is more than 8601.6 MB. https://support.pivotal.io/hc/en-us/articles/201462036-Mapreduce-YARN-Memory-Parameters
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