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Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:

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

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

2. Given the following Hive command:

Which one of the following statements is true?

A) The files in the mydata folder are copied to a subfolder of /apps/hlve/warehouse
B) The files in the mydata folder are copied into Hive's underlying relational database
C) The files in the mydata folder are moved to a subfolder of /apps/hive/wa re house
D) The files in the mydata folder do not move from their current location In HDFS

3. Workflows expressed in Oozie can contain:

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

4. Table metadata in Hive is:

A) Stored along with the data in HDFS.
B) Stored as metadata on the NameNode.
C) Stored in ZooKeeper.
D) Stored in the Metastore.

5. You write MapReduce job to process 100 files in HDFS. Your MapReduce algorithm uses
TextInputFormat: the mapper applies a regular expression over input values and emits key-values pairs
with the key consisting of the matching text, and the value containing the filename and byte offset.
Determine the difference between setting the number of reduces to one and settings the number of
reducers to zero.

A) With zero reducers, all instances of matching patterns are gathered together in one file on HDFS. With
one reducer, instances of matching patterns are stored in multiple files on HDFS.
B) With zero reducers, no reducer runs and the job throws an exception. With one reducer, instances of
matching patterns are stored in a single file on HDFS.
C) With zero reducers, instances of matching patterns are stored in multiple files on HDFS. With one
reducer, all instances of matching patterns are gathered together in one file on HDFS.
D) There is no difference in output between the two settings.

Solutions: