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

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

2. You want to perform analysis on a large collection of images. You want to store this data in HDFS and
process it with MapReduce but you also want to give your data analysts and data scientists the ability to
process the data directly from HDFS with an interpreted high-level programming language like Python.
Which format should you use to store this data in HDFS?

A) Avro
B) SequenceFiles
C) JSON
D) HTML
E) XML
F) CSV

3. Assuming default settings, which best describes the order of data provided to a reducer's reduce method:

A) Both the keys and values passed to a reducer always appear in sorted order.
B) The keys given to a reducer aren't in a predictable order, but the values associated with those keys
always are.
C) The keys given to a reducer are in sorted order but the values associated with each key are in no
predictable order
D) Neither keys nor values are in any predictable order.

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

Which one of the following statements is true?

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

5. Which project gives you a distributed, Scalable, data store that allows you random, realtime read/write
access to hundreds of terabytes of data?

A) Sqoop
B) Pig
C) Flume
D) Oozie
E) HBase
F) Hue
G) Hive

Solutions:

Question # 1 Answer: B

Question # 2 Answer: A

Question # 3 Answer: C

Question # 4 Answer: C

Question # 5 Answer: E