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

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

1. Your cluster's HDFS block size in 64MB. You have directory containing 100 plain text files, each of which is 100MB in size. The InputFormat for your job is TextInputFormat. Determine how many Mappers will run?

A) 640
B) 200
C) 64
D) 100

2. Which one of the following files is required in every Oozie Workflow application?

A) Workflow.xml
B) job.properties
C) Oozie.xml
D) Config-default.xml

3. In a large MapReduce job with m mappers and n reducers, how many distinct copy
operations will there be in the sort/shuffle phase?

A) n
B) m
C) mXn (i.e., m multiplied by n)
D) mn (i.e., m to the power of n)
E) m+n (i.e., m plus n)

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) When the signature of the reduce method matches the signature of the combine method.
C) 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.
D) Always. Code can be reused in Java since it is a polymorphic object-oriented programming language.
E) Never. Combiners and reducers must be implemented separately because they serve different purposes.

5. Can you use MapReduce to perform a relational join on two large tables sharing a key? Assume that the two tables are formatted as comma-separated files in HDFS.

A) No, but it can be done with either Pig or Hive.
B) Yes, so long as both tables fit into memory.
C) No, MapReduce cannot perform relational operations.
D) Yes, but only if one of the tables fits into memory
E) Yes.

Solutions: