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Question ID 20591

Which of the following statements arc accurate in describing features of Hadoop rack
awareness? (Choose 2)

Option A

HDFS is rack aware but MapReduce daemons are not.

Option B

 Rack location is considered in the HDFS block placement policy.

Option C

 Hadoop gives preference to intra-rack data transfer In order to conserve bandwidth.

Option D

Even for small clusters on a single rack, configuring rack awareness will improve performance.

Option E

Configuration of rack awareness is accomplished using a configuration file. You cannot use a rack topology script.

Correct Answer B,C
Explanation


Question ID 20592

You have a cluster running with the Fair Scheduler enabled and configured. You submit
multiple jobs to cluster. Each job is assigned to a pool. How are jobs scheduled? (Choose2).

Option A

Each pool's share of task slots may change throughout the course of job execution.

Option B

Pools get a dynamically-allocated share of the available task slots (subject to additional constraints).

Option C

 Each pool gets 1/M of the total available task slots, where M is the number of nodes in the cluster

Option D

Pools are assigned priorities. Pools with higher priorities are executed before pools with lower priorities.

Option E

Each pool gets 1/N of the total available task slots, where N is the number of jobs running on the cluster.

Option F

Each pool's share of task slots remains static within the execution of any individual job.

Correct Answer B,D
Explanation

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