CCA-500.pdf - Cloudera CCA-500 Cloudera Certified Administrator for Apache Hadoop(CCAH http\/killexams.com\/exam-detail\/CCA-500 QUESTION 54 You have

CCA-500.pdf - Cloudera CCA-500 Cloudera Certified...

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CCA-500 Cloudera Cloudera Certified Administrator for Apache Hadoop (CCAH)
QUESTION: 54 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? A. MapReduce version 2 (MRv2) on YARN abstracts resource allocation away from the idea of “tasks” into memory and virtual cores, thus eliminating the need for a developer to specify the number of reduce tasks, and indeed preventing the developer from specifying the number of reduce tasks. B. In YARN, resource allocations is a function of megabytes of memory in multiples of 1024mb. Thus, they should specify the amount of memory resource they need by executing –D mapreducereduces. memory-mb-2048 C. In YARN, the ApplicationMaster is responsible for requesting the resource required for a specific launch. Thus, executing –D yarn.applicationmaster.reduce.tasks=2 will specify that the ApplicationMaster launch two task contains on the worker nodes. D. Developers specify reduce tasks in the exact same way for both MapReduce version 1 (MRv1) and MapReduce version 2 (MRv2) on YARN. Thus, executing – D mapreduce.job.reduces-2 will specify reduce tasks. E. In YARN, resource allocation is function of virtual cores specified by the

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