CCA-500 · Question #41
You have recently converted your Hadoop cluster from a MapReduce 1 (MRv1) architecture to MapReduce 2 (MRv2) on YARN architecture. Your developers are accustomed to specifying map and reduce tasks…
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Question
You have recently converted your Hadoop cluster from a MapReduce 1 (MRv1) architecture to MapReduce 2 (MRv2) on YARN architecture. Your developers are accustomed to specifying map and reduce tasks (resource allocation) tasks when they run jobs: A developer wants to know how specify to reduce tasks when a specific job runs. Which method should you tell that developers to implement?
Options
- AMapReduce version 2 (MRv2) on YARN abstracts resource allocation away from the idea of
- BIn YARN, resource allocations is a function of megabytes of memory in multiples of 1024mb.
- CIn YARN, the ApplicationMaster is responsible for requesting the resource required for a specific
- DDevelopers specify reduce tasks in the exact same way for both MapReduce version 1 (MRv1)
- EIn YARN, resource allocation is function of virtual cores specified by the ApplicationManager
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