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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:

Question 1

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. SequenceFiles
B. JSON
C. XML
D. CSV
E. Avro
F. HTML

Question 2

Which two of the following are true about this trivial Pig program' (choose Two)

A. ABC has a schema associated with it
B. myfile is read from the user's home directory in HDFS
C. The contents of myfile appear on stdout
D. Pig assumes the contents of myfile are comma delimited

Question 3

You want to run Hadoop jobs on your development workstation for testing before you submit them to your production cluster. Which mode of operation in Hadoop allows you to most closely simulate a production cluster while using a single machine?

A. Run simldooop, the Apache open-source software for simulating Hadoop clusters.
B. Run the hadoop command with the -jt local and the -fs file:///options.
C. Run all the nodes in your production cluster as virtual machines on your development workstation.
D. Run the DataNode, TaskTracker, NameNode and JobTracker daemons on a single machine.

Question 4

Which Hadoop component is responsible for managing the distributed file system metadata?

A. NameSpaceManager
B. NameNode
C. DataNode
D. Metanode

Question 5

Can you use MapReduce to perform a relational join on two large tables sharing a key? Assume that the two tables are formatted as comma-separated files in HDFS.

A. Yes, so long as both tables fit into memory.
B. No, but it can be done with either Pig or Hive.
C. No, MapReduce cannot perform relational operations.
D. Yes.
E. Yes, but only if one of the tables fits into memory

Solutions: