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Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:

1. You want to run Hadoop jobs on your development workstation for testing before you submit them to your production cluster. Which mode of operation in Hadoop allows you to most closely simulate a production cluster while using a single machine?

A) Run the hadoop command with the -jt local and the -fs file:///options.
B) Run all the nodes in your production cluster as virtual machines on your development workstation.
C) Run the DataNode, TaskTracker, NameNode and JobTracker daemons on a single machine.
D) Run simldooop, the Apache open-source software for simulating Hadoop clusters.

2. Which Two of the following statements are true about hdfs? Choose 2 answers

A) Blocks are replicated to multiple datanodes
B) An HDFS file that is larger than dfs.block.size is split into blocks
C) HDFS works best when storing a large number of relatively small files
D) Block sizes for all files must be the same size

3. Which YARN component is responsible for monitoring the success or failure of a Container?

A) JobTracker
B) NodeManager
C) ResourceManager
D) ApplicationMaster

4. What data does a Reducer reduce method process?

A) All the data in a single input file.
B) All data produced by a single mapper.
C) All data for a given key, regardless of which mapper(s) produced it.
D) All data for a given value, regardless of which mapper(s) produced it.

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

A) Standardize on a single MapReduce API.
B) HDFS latency.
C) Ability to run frameworks other than MapReduce, such as MPI.
D) Reduce complexity of the MapReduce APIs.
E) Single point of failure in the NameNode.
F) Resource pressure on the JobTracker.

Solutions: