CCA-410 Question #3: Real Exam Question with Answer & Explanation

The correct answer is A. Resource pressure on the JobTrackr C. Ability to run frameworks other than MapReduce, such as MPI.. A: MapReduce has undergone a complete overhaul in hadoop-0.23 and we now have, what we call, MapReduce 2.0 (MRv2) or YARN. The fundamental idea of MRv2 is to split up the two major functionalities of the JobTracker, resource management and job scheduling/monitoring, into separate

Question

Identify two features/issues that MapReduce v2 (MRv2/YARN) is designed to address:

Options

AResource pressure on the JobTrackr
BHDFS latency.
CAbility to run frameworks other than MapReduce, such as MPI.
DReduce complexity of the MapReduce APIs.
ESingle point of failure in the NameNode.
FStandardize on a single MapReduce API.

Explanation

A: MapReduce has undergone a complete overhaul in hadoop-0.23 and we now have, what we call, MapReduce 2.0 (MRv2) or YARN. 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. The ResourceManager and per-node slave, the NodeManager (NM), form the data-computation framework. The ResourceManager is the ultimate authority that arbitrates resources among all the applications in the system. The per-application ApplicationMaster is, in effect, a framework specific library and is tasked with negotiating resources from the ResourceManager and working with the NodeManager(s) to execute and monitor the tasks. C: YARN, as an aspect of Hadoop, has two major kinds of benefits: The ability to use programming frameworks other than MapReduce. Scalability, no matter what programming framework you use.

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