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Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:
1. What is the disadvantage of using multiple reducers with the default HashPartitioner and distributing your
workload across you cluster?
A) You will not be able to compress the intermediate data.
B) By using multiple reducers with the default HashPartitioner, output files may not be in globally sorted
order.
C) You will longer be able to take advantage of a Combiner.
D) There are no concerns with this approach. It is always advisable to use multiple reduces.
2. A NameNode in Hadoop 2.0 manages ______________.
A) No namespaces
B) A single namespace
C) An arbitrary number of namespaces
D) Two namespaces: an active namespace and a backup namespace
3. Which one of the following statements describes the relationship between the ResourceManager and the
ApplicationMaster?
A) The ApplicationMaster starts a single instance of the ResourceManager
B) The ResourceManager monitors and restarts any failed Containers of the ApplicationMaster
C) The ApplicationMaster starts an instance of the ResourceManager within each Container
D) The ApplicationMaster requests resources from the ResourceManager
4. The Hadoop framework provides a mechanism for coping with machine issues such as faulty
configuration or impending hardware failure. MapReduce detects that one or a number of machines are
performing poorly and starts more copies of a map or reduce task. All the tasks run simultaneously and
the task finish first are used. This is called:
A) IdentityReducer
B) IdentityMapper
C) Default Partitioner
D) Speculative Execution
E) Combine
5. In a MapReduce job, the reducer receives all values associated with same key. Which statement best
describes the ordering of these values?
A) Since the values come from mapper outputs, the reducers will receive contiguous sections of sorted
values.
B) The values are in sorted order.
C) The values are arbitrarily ordered, and the ordering may vary from run to run of the same MapReduce
job.
D) The values are arbitrary ordered, but multiple runs of the same MapReduce job will always have the
same ordering.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: C |
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