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NO.1 MapReduce v2 (MRv2/YARN) splits which major functions of the JobTracker into separate
daemons? Select two.
A. MapReduce metric reporting
B. Managing file system metadata
C. Job coordination between the ResourceManager and NodeManager
D. Job scheduling/monitoring
E. Managing tasks
F. Heath states checks (heartbeats)
G. Launching tasks
H. Resource management
Answer: D,H
HDPCD Study Materials
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
NO.2 Which one of the following statements describes the relationship between the NodeManager
and the ApplicationMaster?
A. The NodeManager requests resources from the ApplicationMaster
B. The NodeManager creates an instance of the ApplicationMaster
C. The ApplicationMaster starts the NodeManager in a Container
D. The ApplicationMaster starts the NodeManager outside of a Container
Answer: B
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Exam Code: HDPCDExam Name: Hortonworks Data Platform Certified Developer
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HDPCD Exam Questions Total Q&A: 110 Questions and Answers
Last Update: 2016-08-21
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