Hortonworks Apache-Hadoop-Developer Valid Dump : Hadoop 2.0 Certification exam for Pig and Hive Developer

Apache-Hadoop-Developer real exams

Exam Code: Apache-Hadoop-Developer

Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer

Updated: Sep 13, 2026

Q & A: 110 Questions and Answers

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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

SectionObjectives
Data Processing- End-to-end Hadoop workflows
  • 1. Analyze structured and semi-structured data
  • 2. Produce required output using Hadoop ecosystem tools
Data Ingestion- Import data into Hadoop
  • 1. Use Flume for log and event data ingestion
  • 2. Use Sqoop for relational data import
Data Analysis with Hive- Hive query development
  • 1. Write queries, joins, aggregations and partitions
  • 2. Create and manage databases and tables
Data Transformation with Pig- Pig Latin programming
  • 1. Load, filter, join, group and aggregate data
  • 2. Transform and process datasets

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

Question #1

Consider the following two relations, A and B.

A Pig JOIN statement that combined relations A by its first field and B by its second field would produce what output?

  • A. 2 cherry 2 cherry 3 orange 4 peach
  • B. 2 Jim Chris 2 3 Terry 3 4 Brian 4
  • C. 2 cherry Jim, Chris 3 orange Terry 4 peach Brian
  • D. 2 cherry Jim 2 2 cherry Chris 2 3 orange Terry 3 4 peach Brian 4
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #2

Identify the MapReduce v2 (MRv2 / YARN) daemon responsible for launching application containers and monitoring application resource usage?

  • A. JobTracker
  • B. ApplicationMaster
  • C. ResourceManager
  • D. ApplicationMasterService
  • E. NodeManager
  • F. TaskTracker
Reveal Solution  Discussion  0

Correct Answer: E  🗳️

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Question #3

For each input key-value pair, mappers can emit:

  • A. As many intermediate key-value pairs as designed. There are no restrictions on the types of those key-value pairs (i.e., they can be heterogeneous).
  • B. One intermediate key-value pair, but of the same type.
  • C. One intermediate key-value pair, of a different type.
  • D. As many intermediate key-value pairs as designed, but they cannot be of the same type as the input key-value pair.
  • E. As many intermediate key-value pairs as designed, as long as all the keys have the same types and all the values have the same type.
Reveal Solution  Discussion  0

Correct Answer: E  🗳️

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Question #4

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. Sqoop
  • B. Flume
  • C. Hue
  • D. fuse-dfs
  • E. Oozie
  • F. Hive
  • G. Pig
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #5

Assuming default settings, which best describes the order of data provided to a reducer's reduce method:

  • A. Both the keys and values passed to a reducer always appear in sorted order.
  • B. The keys given to a reducer aren't in a predictable order, but the values associated with those keys always are.
  • C. Neither keys nor values are in any predictable order.
  • D. The keys given to a reducer are in sorted order but the values associated with each key are in no predictable order
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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