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

2. Indentify the utility that allows you to create and run MapReduce jobs with any executable or script as the
mapper and/or the reducer?

A) Sqoop
B) Hadoop Streaming
C) mapred
D) Oozie
E) Flume

3. In a MapReduce job, the reducer receives all values associated with same key. Which statement best
describes the ordering of these values?

A) The values are in sorted order.
B) The values are arbitrary ordered, but multiple runs of the same MapReduce job will always have the
same ordering.
C) Since the values come from mapper outputs, the reducers will receive contiguous sections of sorted
values.
D) The values are arbitrarily ordered, and the ordering may vary from run to run of the same MapReduce
job.

4. Which process describes the lifecycle of a Mapper?

A) The TaskTracker spawns a new Mapper to process each key-value pair.
B) The TaskTracker spawns a new Mapper to process all records in a single input split.
C) The JobTracker calls the TaskTracker's configure () method, then its map () method and finally its close () method.
D) The JobTracker spawns a new Mapper to process all records in a single file.

5. To process input key-value pairs, your mapper needs to lead a 512 MB data file in memory. What is the
best way to accomplish this?

A) Serialize the data file, insert in it the JobConf object, and read the data into memory in the configure
method of the mapper.
B) Place the data file in the DataCache and read the data into memory in the configure method of the
mapper.
C) Place the data file in the DistributedCache and read the data into memory in the map method of the
mapper.
D) Place the data file in the DistributedCache and read the data into memory in the configure method of
the mapper.

Solutions: