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CCD-410 – Cloudera Certified Developer for Apache Hadoop (CCDH)

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Showing 1–3 of 7 questions

Question 1

MapReduce v2 (MRv2/YARN) splits which major functions of the JobTracker into separate daemons? Select two.

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    Heath states checks (heartbeats)
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    Resource management
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    Job scheduling/monitoring
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    Job coordination between the ResourceManager and NodeManager
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    Launching tasks

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    Managing file system metadata
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    MapReduce metric reporting
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    Managing tasks

Question 2

MapReduce v2 (MRv2/YARN) is designed to address which two issues?

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    Single point of failure in the NameNode.
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    Resource pressure on the JobTracker.
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    HDFS latency.
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    Ability to run frameworks other than MapReduce, such as MPI.
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    Reduce complexity of the MapReduce APIs.
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    Standardize on a single MapReduce API.
Question 3

What is the disadvantage of using multiple reducers with the default HashPartitioner and distributing your workload across you cluster?

Select an option, then click Submit answer.

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    You will not be able to compress the intermediate data.
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    You will longer be able to take advantage of a Combiner.
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    By using multiple reducers with the default HashPartitioner, output files may not be in globally sorted order.
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    There are no concerns with this approach. It is always advisable to use multiple reduces.