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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

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

1. To use a lava user-defined function (UDF) with Pig what must you do?

A) Define an alias to shorten the function name
B) Pass arguments to the constructor of UDFs implementation class
C) Register the JAR file containing the UDF
D) Put the JAR file into the user's home folder in HDFS

2. Which best describes how TextInputFormat processes input files and line breaks?

A) Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the
split that contains the end of the broken line.
B) The input file is split exactly at the line breaks, so each RecordReader will read a series of complete
lines.
C) Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the
split that contains the beginning of the broken line.
D) Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReaders of
both splits containing the broken line.
E) Input file splits may cross line breaks. A line that crosses file splits is ignored.

3. In the reducer, the MapReduce API provides you with an iterator over Writable values. What does calling
the next () method return?

A) It returns a reference to a different Writable object time.
B) It returns a reference to the same Writable object if the next value is the same as the previous value, or
a new Writable object otherwise.
C) It returns a reference to a Writable object. The API leaves unspecified whether this is a reused object
or a new object.
D) It returns a reference to the same Writable object each time, but populated with different data.
E) It returns a reference to a Writable object from an object pool.

4. Which one of the following statements describes a Pig bag. tuple, and map, respectively?

A) Ordered collection of maps, ordered collection of bags, and unordered set of key/value pairs
B) Unordered collection of tuples, ordered set of fields, set of key value pairs
C) Unordered collection of maps, ordered collection of tuples, ordered set of key/value pairs
D) Ordered set of fields, ordered collection of tuples, ordered collection of maps

5. You want to count the number of occurrences for each unique word in the supplied input data. You've
decided to implement this by having your mapper tokenize each word and emit a literal value 1, and then
have your reducer increment a counter for each literal 1 it receives. After successful implementing this, it
occurs to you that you could optimize this by specifying a combiner. Will you be able to reuse your
existing Reduces as your combiner in this case and why or why not?

A) No, because the Combiner is incompatible with a mapper which doesn't use the same data type for
both the key and value.
B) No, because the Reducer and Combiner are separate interfaces.
C) No, because the sum operation in the reducer is incompatible with the operation of a Combiner.
D) Yes, because Java is a polymorphic object-oriented language and thus reducer code can be reused as
a combiner.
E) Yes, because the sum operation is both associative and commutative and the input and output types to
the reduce method match.

Solutions: