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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

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

1. What are the TWO main components of the YARN ResourceManager process? Choose 2 answers

A) Job Tracker
B) Scheduler
C) Task Tracker
D) Applications Manager

2. How are keys and values presented and passed to the reducers during a standard sort and shuffle phase of MapReduce?

A) Keys are presented to reducer in sorted order; values for a given key are sorted in ascending order.
B) Keys are presented to a reducer in random order; values for a given key are not sorted.
C) Keys are presented to a reducer in random order; values for a given key are sorted in ascending order.
D) Keys are presented to reducer in sorted order; values for a given key are not sorted.

3. Identify the tool best suited to import a portion of a relational database every day as files into HDFS, and generate Java classes to interact with that imported data?

A) Hue
B) Hive
C) Flume
D) Oozie
E) Pig
F) Sqoop
G) fuse-dfs

4. In the reducer, the MapReduce API provides you with an iterator over Writable values. What does calling the next () method return?

A) It returns a reference to the same Writable object each time, but populated with different data.
B) It returns a reference to a different Writable object time.
C) It returns a reference to a Writable object from an object pool.
D) It returns a reference to the same Writable object if the next value is the same as the previous value, or a new Writable object otherwise.
E) It returns a reference to a Writable object. The API leaves unspecified whether this is a reused object or a new object.

5. What is the disadvantage of using multiple reducers with the default HashPartitioner and distributing your workload across you cluster?

A) By using multiple reducers with the default HashPartitioner, output files may not be in globally sorted order.
B) You will longer be able to take advantage of a Combiner.
C) There are no concerns with this approach. It is always advisable to use multiple reduces.
D) You will not be able to compress the intermediate data.

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