Hortonworks Apache-Hadoop-Developer : Hadoop 2.0 Certification exam for Pig and Hive Developer

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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

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

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

A) Never. Combiners and reducers must be implemented separately because they serve different purposes.
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. Code can be reused in Java since it is a polymorphic object-oriented programming language.
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.

2. What is the disadvantage of using multiple reducers with the default HashPartitioner and distributing your workload across you cluster?

A) You will longer be able to take advantage of a Combiner.
B) By using multiple reducers with the default HashPartitioner, output files may not be in globally sorted order.
C) There are no concerns with this approach. It is always advisable to use multiple reduces.
D) You will not be able to compress the intermediate data.

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

4. Given the following Hive command:
INSERT OVERWRITE TABLE mytable SELECT * FROM myothertable;
Which one of the following statements is true?

A) Any existing data in mytable will be overwritten
B) The contents of myothertable are appended to mytable
C) A new table named mytable is created, and the contents of myothertable are copied into mytable
D) The statement is not a valid Hive command

5. Indentify the utility that allows you to create and run MapReduce jobs with any executable
or script as the mapper and/or the reducer?

A) Hadoop Streaming
B) Oozie
C) Flume
D) mapred
E) Sqoop

Solutions: