Which scheduler would you deploy to ensure that your cluster allows short jobs to finish within a
reasonable time without starting long-running jobs?
A.
Complexity Fair Scheduler (CFS)
B.
Capacity Scheduler
C.
Fair Scheduler
D.
FIFO Scheduler
Explanation:
http://hadoop.apache.org/docs/r1.2.1/fair_scheduler.html
C- correct –
Fair scheduling is a method of assigning resources to jobs such that all jobs get, on average, an equal share of resources over time. When there is a single job running, that job uses the entire cluster. When other jobs are submitted, tasks slots that free up are assigned to the new jobs, so that each job gets roughly the same amount of CPU time. Unlike the default Hadoop scheduler, which forms a queue of jobs, this lets short jobs finish in reasonable time while not starving long jobs.- http://hadoop.apache.org/docs/r1.2.1/fair_scheduler.html
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C
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C
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C
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C
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C, absolutely
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Correct answer is C
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