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

1. Which project gives you a distributed, Scalable, data store that allows you random, realtime read/write access to hundreds of terabytes of data?

A) Sqoop
B) Pig
C) HBase
D) Hive
E) Oozie
F) Hue
G) Flume

2. Examine the following Hive statements:

Assuming the statements above execute successfully, which one of the following statements is true?

A) Each reducer generates a file sorted by age
B) The output of each reducer is only the age column
C) The SORT BY command causes only one reducer to be used
D) The output is guaranteed to be a single file with all the data sorted by age

3. In Hadoop 2.0, which TWO of the following processes work together to provide automatic failover of the NameNode? Choose 2 answers

A) JournalNode
B) ZKFailoverController
C) QuorumManager
D) ZooKeeper

4. Which two of the following are true about this trivial Pig program' (choose Two)

A) Pig assumes the contents of myfile are comma delimited
B) myfile is read from the user's home directory in HDFS
C) ABC has a schema associated with it
D) The contents of myfile appear on stdout

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

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

Solutions: