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CCA-410 · Question #70

You configure your hadoop development cluster with both mapreduce frameworks, mapreduceV1 (MRv1) and mapreduce v2 (MRv2/YARN). You plan to run only one set of mapreduce daemons at a time in this…

The correct answer is E. Resourcemanager F. Jobtracker. Jobtracker for mapreduce V1 (MRv1) and ResourceManager for mapreduce v2 (MRv2/YARN). Configure YARN daemons If you have decided to run YARN, you must configure the following services: ResourceManager (on a dedicated host) and NodeManager (on every host where you plan to run…

Deployment

Question

You configure your hadoop development cluster with both mapreduce frameworks, mapreduceV1 (MRv1) and mapreduce v2 (MRv2/YARN). You plan to run only one set of mapreduce daemons at a time in this development environment (running both simultaneously results in an unsuitable cluster but configure in both moving between them is fine). Which two mapreduce (capitation) daemons do you need to configure to run on your masternodes?

Options

  • AContainermanager
  • BNodemanager
  • CJournalnode
  • DApplicationmaster
  • EResourcemanager
  • FJobtracker

How the community answered

(27 responses)
  • A
    7% (2)
  • B
    4% (1)
  • D
    11% (3)
  • E
    78% (21)

Explanation

Jobtracker for mapreduce V1 (MRv1) and ResourceManager for mapreduce v2 (MRv2/YARN). * Configure YARN daemons If you have decided to run YARN, you must configure the following services: ResourceManager (on a dedicated host) and NodeManager (on every host where you plan to run MapReduce v2 * JobTracker is the daemon service for submitting and tracking MapReduce V1 (MRv1) jobs in * Make sure you are not trying to run MRv1 and YARN on the same set of nodes at the same time. This is not supported; it will degrade performance and may result in an unstable cluster * MapReduce has undergone a complete overhaul and CDH4 now includes MapReduce 2.0 (MRv2). The fundamental idea of MRv2's YARN architecture is to split up the two primary responsibilities of the JobTracker -- resource management and job scheduling/monitoring -- into separate daemons: a global ResourceManager (RM) and per-application ApplicationMasters Not C: JournalNode is for Quorum implementation.

Topics

#MapReduce daemons#MRv1#YARN#master node configuration

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