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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

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

1. You need to run the same job many times with minor variations. Rather than hardcoding all job
configuration options in your drive code, you've decided to have your Driver subclass
org.apache.hadoop.conf.Configured and implement the org.apache.hadoop.util.Tool interface.
Indentify which invocation correctly passes.mapred.job.name with a value of Example to Hadoop?

A) hadoop setproperty mapred.job.name=Example MyDriver input output
B) hadoop MyDriver mapred.job.name=Example input output
C) hadoop MyDrive -D mapred.job.name=Example input output
D) hadoop setproperty ("mapred.job.name=Example") MyDriver input output
E) hadoop "mapred.job.name=Example" MyDriver input output

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

A) One final key-value pair per key; no restrictions on the type.
B) 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.
C) 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).
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, but they must have the same type as the intermediate
key-value pairs.

3. You are developing a combiner that takes as input Text keys, IntWritable values, and emits Text keys,
IntWritable values. Which interface should your class implement?

A) Combiner <Text, Text, IntWritable, IntWritable>
B) Combiner <Text, IntWritable, Text, IntWritable>
C) Reducer <Text, IntWritable, Text, IntWritable>
D) Reducer <Text, Text, IntWritable, IntWritable>
E) Mapper <Text, IntWritable, Text, IntWritable>

4. 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 beginning 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 RecordReaders of
both splits containing the broken line.
D) Input file splits may cross line breaks. A line that crosses file splits is ignored.
E) 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.

5. 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) 64
C) 100
D) 200

Solutions: