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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

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

Question 1

Which process describes the lifecycle of a Mapper?

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

Question 2

Which one of the following is NOT a valid Oozie action?

A. mapreduce
B. pig
C. mrunit
D. hive

Question 3

You've written a MapReduce job that will process 500 million input records and generated 500 million
key-value pairs. The data is not uniformly distributed. Your MapReduce job will create a significant
amount of intermediate data that it needs to transfer between mappers and reduces which is a potential
bottleneck. A custom implementation of which interface is most likely to reduce the amount of
intermediate data transferred across the network?

A. Partitioner
B. WritableComparable
C. OutputFormat
D. Combiner
E. InputFormat
F. Writable

Question 4

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

Question 5

Which Two of the following statements are true about hdfs? Choose 2 answers

A. Block sizes for all files must be the same size
B. Blocks are replicated to multiple datanodes
C. HDFS works best when storing a large number of relatively small files
D. An HDFS file that is larger than dfs.block.size is split into blocks

Solutions: