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

1. Which of the following tool was designed to import data from a relational database into HDFS?

A) Sqoop
B) HCatalog
C) Flume
D) Ambari

2. You have written a Mapper which invokes the following five calls to the OutputColletor.collect method:
output.collect (new Text ("Apple"), new Text ("Red") ) ;
output.collect (new Text ("Banana"), new Text ("Yellow") ) ;
output.collect (new Text ("Apple"), new Text ("Yellow") ) ;
output.collect (new Text ("Cherry"), new Text ("Red") ) ;
output.collect (new Text ("Apple"), new Text ("Green") ) ;
How many times will the Reducer's reduce method be invoked?

A) 5
B) 0
C) 3
D) 1
E) 6

3. Review the following 'data' file and Pig code.

Which one of the following statements is true?

A) The code executes successfully but there is not output because the D relation is empty
B) The Output Of the DUMP D command IS (M,{(M,62.95102),(M,38,95111)})
C) The code does not execute successfully because D is not a valid relation
D) The output of the dump d command is (M, {(38,95in),(62,95i02)})

4. For each intermediate key, each reducer task can emit:

A) As many final key-value pairs as desired. There are no restrictions on the types of those key-value
pairs (i.e., they can be heterogeneous).
B) One final key-value pair per key; no restrictions on the type.
C) As many final key-value pairs as desired, but they must have the same type as the intermediate
key-value pairs.
D) One final key-value pair per value associated with the key; no restrictions on the type.
E) As many final key-value pairs as desired, as long as all the keys have the same type and all the values
have the same type.

5. You have just executed a MapReduce job. Where is intermediate data written to after being emitted from
the Mapper's map method?

A) Into in-memory buffers that spill over to the local file system (outside HDFS) of the TaskTracker node
running the Reducer
B) Intermediate data in streamed across the network from Mapper to the Reduce and is never written to
disk.
C) Into in-memory buffers on the TaskTracker node running the Mapper that spill over and are written into
HDFS.
D) Into in-memory buffers that spill over to the local file system of the TaskTracker node running the
Mapper.
E) Into in-memory buffers on the TaskTracker node running the Reducer that spill over and are written into
HDFS.

Solutions: