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

1. You write MapReduce job to process 100 files in HDFS. Your MapReduce algorithm uses
TextInputFormat: the mapper applies a regular expression over input values and emits key-values pairs
with the key consisting of the matching text, and the value containing the filename and byte offset.
Determine the difference between setting the number of reduces to one and settings the number of
reducers to zero.

A) With zero reducers, all instances of matching patterns are gathered together in one file on HDFS. With
one reducer, instances of matching patterns are stored in multiple files on HDFS.
B) There is no difference in output between the two settings.
C) With zero reducers, instances of matching patterns are stored in multiple files on HDFS. With one
reducer, all instances of matching patterns are gathered together in one file on HDFS.
D) With zero reducers, no reducer runs and the job throws an exception. With one reducer, instances of
matching patterns are stored in a single file on HDFS.

2. Which two of the following statements are true about Pig's approach toward data? Choose 2 answers

A) Accepts only data that is defined by metadata tables stored in a database
B) Accepts any data: structured or unstructured
C) Accepts only data that has a key/value pair structure
D) Accepts data whether it has metadata or not
E) Accepts tab-delimited text data only

3. 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) 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.
C) Input file splits may cross line breaks. A line that crosses file splits is ignored.
D) The input file is split exactly at the line breaks, so each RecordReader will read a series of complete
lines.
E) 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.

4. Assuming the following Hive query executes successfully:

Which one of the following statements describes the result set?

A) A trigram of the top 80 sentences that contain "you are" followed by a null space in the lines column of
the inputdata table.
B) An 80-value ngram of sentences that contain the words "you" or "are" in the lines column of the
inputdata table.
C) A bigram of the top 80 sentences that contain the substring "you are" in the lines column of the input
data A1 table.
D) A frequency distribution of the top 80 words that follow the subsequence "you are" in the lines column
of the inputdata table.

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

Solutions: