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

1. A combiner reduces:

A) The number of output files a reducer must produce.
B) The number of values across different keys in the iterator supplied to a single reduce method call.
C) The amount of intermediate data that must be transferred between the mapper and reducer.
D) The number of input files a mapper must process.

2. For each input key-value pair, mappers can emit:

A) As many intermediate key-value pairs as designed, but they cannot be of the same type as the input
key-value pair.
B) As many intermediate key-value pairs as designed. There are no restrictions on the types of those
key-value pairs (i.e., they can be heterogeneous).
C) One intermediate key-value pair, but of the same type.
D) One intermediate key-value pair, of a different type.
E) As many intermediate key-value pairs as designed, as long as all the keys have the same types and all
the values have the same type.

3. A NameNode in Hadoop 2.0 manages ______________.

A) A single namespace
B) Two namespaces: an active namespace and a backup namespace
C) No namespaces
D) An arbitrary number of namespaces

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

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

5. You need to create a job that does frequency analysis on input data. You will do this by writing a Mapper
that uses TextInputFormat and splits each value (a line of text from an input file) into individual characters.
For each one of these characters, you will emit the character as a key and an InputWritable as the value.
As this will produce proportionally more intermediate data than input data, which two resources should
you expect to be bottlenecks?

A) Processor and network I/O
B) Disk I/O and network I/O
C) Processor and RAM
D) Processor and disk I/O

Solutions: