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NEW QUESTION: 1

A. Option C
B. Option B
C. Option D
D. Option A
Answer: B

NEW QUESTION: 2
Was sind zwei Gründe, die dazu führen, dass späte Kollisionen auf einer Ethernet-Schnittstelle zunehmen? (Wähle zwei)
A. Wenn Carrier Sense Multiple Access / Collision Detection verwendet wird
B. Wenn eine Kollision auftritt, nachdem das 32. Byte eines Frames übertragen wurde
C. Wenn eine Seite der Verbindung für Halbduplex konfiguriert ist
D. Wenn die Kabellängenbeschränkungen überschritten werden
E. Wenn das sendende Gerät 15 Sekunden wartet, bevor der Frame erneut gesendet wird
Answer: C,D
Explanation:
The usual possible causes are full-duplex/half-duplex mismatch, exceeded Ethernet cable length limits, or defective hardware such as incorrect cabling, non-compliant number of hubs in the network, or a bad NIC.

NEW QUESTION: 3
MapReduce v2 (MRv2/YARN) splits which major functions of the JobTracker into separate daemons? Select two.
A. MapReduce metric reporting
B. Resource management
C. Job coordination between the ResourceManager and NodeManager
D. Managing tasks
E. Managing file system metadata
F. Launching tasks
G. Job scheduling/monitoring
H. Heath states checks (heartbeats)
Answer: B,G
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

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