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which major functions of the JobTracker into separate daemons?

MapReduce v2 (MRv2/YARN) splits which major functions of the JobTracker into separate
daemons? Select two.

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A.
Heath states checks (heartbeats)

B.
Resource management

C.
Job scheduling/monitoring

D.
Job coordination between the ResourceManager and NodeManager

E.
Launching tasks

F.
Managing file system metadata

G.
MapReduce metric reporting

H.
Managing tasks

Explanation:
The fundamental idea of MRv2 is to split up the two major functionalities of the
JobTracker, resource management and job scheduling/monitoring, into separate daemons. The
idea is to have a global ResourceManager (RM) and per-application ApplicationMaster (AM). An
application is either a single job in the classical sense of Map-Reduce jobs or a DAG of jobs.
Note:
The central goal of YARN is to clearly separate two things that are unfortunately smushed together
in current Hadoop, specifically in (mainly) JobTracker:
/ Monitoring the status of the cluster with respect to which nodes have which resources available.
Under YARN, this will be global.
/ Managing the parallelization execution of any specific job. Under YARN, this will be done
separately for each job.
Reference: Apache Hadoop YARN – Concepts & Applications

11 Comments on “which major functions of the JobTracker into separate daemons?

  1. dd says:

    Option B and C are correct

    The JobTracker is responsible for resource management (managing the worker nodes i.e. TaskTrackers), tracking resource consumption/availability and also job life-cycle management (scheduling individual tasks of the job, tracking progress, providing fault-tolerance for tasks etc).

    Source :Apache Hadoop YARN – Background and an Overview




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  2. Nosse says:

    Have someone actually managed to pass the exam with this question and answers. Cause there is no HiveQL questions that it says that are on the real exam?!

    /Nosse




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