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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

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

Question 2

Given the following Hive commands:

Which one of the following statements Is true?

A. The file mydata.txt is moved to a subfolder of /apps/hive/warehouse
B. The file mydata.txt does not move from Its current location in HDFS
C. The file mydata.txt is copied into Hive's underlying relational database 0.
D. The file mydata.txt is copied to a subfolder of /apps/hive/warehouse

Question 3

Which one of the following statements is false about HCatalog?

A. Provides a shared schema mechanism
B. Designed to be used by other programs such as Pig, Hive and MapReduce
C. Exists as a subproject of Hive
D. Stores HDFS data in a database for performing SQL-like ad-hoc queries

Question 4

What is the term for the process of moving map outputs to the reducers?

A. Shuffling and sorting
B. Partitioning
C. Combining
D. Reducing

Question 5

What types of algorithms are difficult to express in MapReduce v1 (MRv1)?

A. Text analysis algorithms on large collections of unstructured text (e.g, Web crawls).
B. Algorithms that require global, sharing states.
C. Algorithms that require applying the same mathematical function to large numbers of individual binary
records.
D. Relational operations on large amounts of structured and semi-structured data.
E. Large-scale graph algorithms that require one-step link traversal.

Solutions: