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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 map 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 configure method of the mapper.

2. Indentify which method in the Mapper you should use to implement code for reading the file and populating the associative array?

A) combine
B) configure
C) map
D) init

3. Which project gives you a distributed, Scalable, data store that allows you random, realtime read/write access to hundreds of terabytes of data?

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

4. Which one of the following statements is FALSE regarding the communication between DataNodes and a federation of NameNodes in Hadoop 2.0?

A) DataNodes send periodic heartbeats to all the NameNodes.
B) Each DataNode registers with all the NameNodes.
C) DataNodes send periodic block reports to all the NameNodes.
D) Each DataNode receives commands from one designated master NameNode.

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

Solutions: