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

Hortonworks Apache-Hadoop-Developer test insides dumps
  • 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
Topic 1: Data Transformation with Pig- Pig Latin programming
  • 1. Transform and process datasets
  • 2. Load, filter, join, group and aggregate data
Topic 2: Data Ingestion- Import data into Hadoop
  • 1. Use Flume for log and event data ingestion
  • 2. Use Sqoop for relational data import
Topic 3: Data Processing- End-to-end Hadoop workflows
  • 1. Analyze structured and semi-structured data
  • 2. Produce required output using Hadoop ecosystem tools
Topic 4: Data Analysis with Hive- Hive query development
  • 1. Create and manage databases and tables
  • 2. Write queries, joins, aggregations and partitions
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
Question #1

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

  • A. As many intermediate key-value pairs as designed, but they cannot be of the same type as the input key-value pair.
  • B. 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.
  • C. 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).
  • D. One intermediate key-value pair, of a different type.
  • E. One intermediate key-value pair, but of the same type.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #2

All keys used for intermediate output from mappers must:

  • A. Override isSplitable.
  • B. Implement a comparator for speedy sorting.
  • C. Implement a splittable compression algorithm.
  • D. Implement WritableComparable.
  • E. Be a subclass of FileInputFormat.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #3

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

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

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Question #4

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. Oozie
  • C. mapred
  • D. Flume
  • E. Sqoop
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #5

Which HDFS command uploads a local file X into an existing HDFS directory Y?

  • A. hadoop scp X Y
  • B. hadoop fs -localPut X Y
  • C. hadoop fs -get X Y
  • D. hadoop fs-put X Y
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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