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Hortonworks-Certified-Apache-Hadoop-2.0-Developer(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) Oozie
B) Sqoop
C) Pig
D) Flume
E) Hive
F) Hue
G) HBase

2. You want to Ingest log files Into HDFS, which tool would you use?

A) Sqoop
B) HCatalog
C) Flume
D) Ambari

3. Examine the following Pig commands:

Which one of the following statements is true?

A) The SAMPLE command generates an "unexpected symbol" error
B) The reducers will only output the first 20% of the data passed from the mappers
C) A random sample of approximately 20% of the data will be output
D) Each MapReduce task will terminate after executing for 0.2 minutes

4. To use a lava user-defined function (UDF) with Pig what must you do?

A) Define an alias to shorten the function name
B) Pass arguments to the constructor of UDFs implementation class
C) Register the JAR file containing the UDF
D) Put the JAR file into the user's home folder in HDFS

5. Workflows expressed in Oozie can contain:

A) Sequences of MapReduce and Pig. These sequences can be combined with other actions including
forks, decision points, and path joins.
B) Sequences of MapReduce job only; on Pig on Hive tasks or jobs. These MapReduce sequences can
be combined with forks and path joins.
C) Sequences of MapReduce and Pig jobs. These are limited to linear sequences of actions with
exception handlers but no forks.
D) Iterntive repetition of MapReduce jobs until a desired answer or state is reached.

Solutions: