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Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer - Apache-Hadoop-Developer real prep

Apache-Hadoop-Developer
  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Updated: Sep 26, 2024
  • Q & A: 110 Questions and Answers
  • PDF Version

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  • PDF Price: $49.98
  • Hortonworks Apache-Hadoop-Developer Value Pack

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  • Value Pack Total: $69.98

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

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


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


3. When can a reduce class also serve as a combiner without affecting the output of a MapReduce program?

A) Never. Combiners and reducers must be implemented separately because they serve different purposes.
B) Always. Code can be reused in Java since it is a polymorphic object-oriented programming language.
C) When the signature of the reduce method matches the signature of the combine method.
D) When the types of the reduce operation's input key and input value match the types of the reducer's output key and output value and when the reduce operation is both communicative and associative.
E) Always. The point of a combiner is to serve as a mini-reducer directly after the map phase to increase performance.


4. Which process describes the lifecycle of a Mapper?

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


5. A NameNode in Hadoop 2.0 manages ______________.

A) No namespaces
B) An arbitrary number of namespaces
C) Two namespaces: an active namespace and a backup namespace
D) A single namespace


Solutions:

Question # 1
Answer: B
Question # 2
Answer: A
Question # 3
Answer: D
Question # 4
Answer: C
Question # 5
Answer: D

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