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

1. Which one of the following files is required in every Oozie Workflow application?

A) Workflow.xml
B) job.properties
C) Config-default.xml
D) Oozie.xml

2. Identify the MapReduce v2 (MRv2 / YARN) daemon responsible for launching application containers and monitoring application resource usage?

A) ApplicationMasterService
B) ApplicationMaster
C) NodeManager
D) ResourceManager
E) TaskTracker
F) JobTracker

3. Indentify which method in the Mapper you should use to implement code for reading the file and populating the associative array?

A) combine
B) init
C) configure
D) map

4. You've written a MapReduce job that will process 500 million input records and generated 500 million key-value pairs. The data is not uniformly distributed. Your MapReduce job will create a significant amount of intermediate data that it needs to transfer between mappers and reduces which is a potential bottleneck. A custom implementation of which interface is most likely to reduce the amount of intermediate data transferred across the network?

A) OutputFormat
B) Writable
C) InputFormat
D) WritableComparable
E) Partitioner
F) Combiner

5. A client application creates an HDFS file named foo.txt with a replication factor of 3. Identify which best describes the file access rules in HDFS if the file has a single block that is stored on data nodes A, B and C?

A) Each data node locks the local file to prohibit concurrent readers and writers of the file.
B) The file can be accessed if at least one of the data nodes storing the file is available.
C) Each data node stores a copy of the file in the local file system with the same name as the HDFS file.
D) The file will be marked as corrupted if data node B fails during the creation of the file.

Solutions: