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

2. You have just executed a MapReduce job. Where is intermediate data written to after being emitted from
the Mapper's map method?

A) Into in-memory buffers that spill over to the local file system of the TaskTracker node running the
Mapper.
B) Into in-memory buffers on the TaskTracker node running the Mapper that spill over and are written into
HDFS.
C) Intermediate data in streamed across the network from Mapper to the Reduce and is never written to
disk.
D) Into in-memory buffers that spill over to the local file system (outside HDFS) of the TaskTracker node
running the Reducer
E) Into in-memory buffers on the TaskTracker node running the Reducer that spill over and are written into
HDFS.

3. Which best describes what the map method accepts and emits?

A) It accepts a single key-value pairs as input and can emit only one key-value pair as output.
B) It accepts a single key-value pair as input and emits a single key and list of corresponding values as
output.
C) It accepts a single key-value pairs as input and can emit any number of key-value pair as output,
including zero.
D) It accepts a list key-value pairs as input and can emit only one key-value pair as output.

4. You have a directory named jobdata in HDFS that contains four files: _first.txt, second.txt, .third.txt and
# data.txt. How many files will be processed by the FileInputFormat.setInputPaths () command when it's
given a path object representing this directory?

A) Two, file names with a leading period or underscore are ignored
B) Four, all files will be processed
C) One, no special characters can prefix the name of an input file
D) Three, the pound sign is an invalid character for HDFS file names
E) None, the directory cannot be named jobdata

5. When can a reduce class also serve as a combiner without affecting the output of a MapReduce program?

A) Always. Code can be reused in Java since it is a polymorphic object-oriented programming language.
B) When the types of the reduce operation's input key and input value match the types of the reducer's output key and output value and when the reduce operation is both communicative and associative.
C) Always. The point of a combiner is to serve as a mini-reducer directly after the map phase to increase performance.
D) When the signature of the reduce method matches the signature of the combine method.
E) Never. Combiners and reducers must be implemented separately because they serve different purposes.

Solutions: