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

1. To process input key-value pairs, your mapper needs to lead a 512 MB data file in memory. What is the best way to accomplish this?

A) Place the data file in the DistributedCache and read the data into memory in the configure method of the mapper.
B) Serialize the data file, insert in it the JobConf object, and read the data into memory in the configure method of the mapper.
C) Place the data file in the DataCache and read the data into memory in the configure method of the mapper.
D) Place the data file in the DistributedCache and read the data into memory in the map method of the mapper.

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

A) One intermediate key-value pair, but of the same type.
B) 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.
C) One intermediate key-value pair, of a different type.
D) 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).
E) As many intermediate key-value pairs as designed, but they cannot be of the same type as the input key-value pair.

3. Your client application submits a MapReduce job to your Hadoop cluster. Identify the Hadoop daemon on which the Hadoop framework will look for an available slot schedule a MapReduce operation.

A) DataNode
B) TaskTracker
C) JobTracker
D) Secondary NameNode
E) NameNode

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

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

5. What does Pig provide to the overall Hadoop solution?

A) Database table and storage management services
B) Legacy language Integration with MapReduce framework
C) C++ interface to MapReduce and data warehouse infrastructure
D) Simple scripting language for writing MapReduce programs

Solutions: