Hortonworks Apache-Hadoop-Developer exam - in .pdf

Apache-Hadoop-Developer pdf
  • 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
  • PDF Price: $49.99
  • PDF Demo

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  • 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
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $99.98  $69.99
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Hortonworks Apache-Hadoop-Developer exam - Testing Engine

Apache-Hadoop-Developer Testing Engine
  • 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
  • Software Price: $49.99
  • Testing Engine

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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

SectionObjectives
Data Ingestion- Import data into Hadoop
  • 1. Use Flume for log and event data ingestion
  • 2. Use Sqoop for relational data import
Data Processing- End-to-end Hadoop workflows
  • 1. Analyze structured and semi-structured data
  • 2. Produce required output using Hadoop ecosystem tools
Data Transformation with Pig- Pig Latin programming
  • 1. Transform and process datasets
  • 2. Load, filter, join, group and aggregate data
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

What data does a Reducer reduce method process?

  • A. All the data in a single input file.
  • B. All data for a given key, regardless of which mapper(s) produced it.
  • C. All data produced by a single mapper.
  • D. All data for a given value, regardless of which mapper(s) produced it.
Answer: B

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Question #2

In a MapReduce job with 500 map tasks, how many map task attempts will there be?

  • A. Between 500 and 1000.
  • B. It depends on the number of reduces in the job.
  • C. At most 500.
  • D. At least 500.
  • E. Exactly 500.
Answer: D

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Question #3

You have the following key-value pairs as output from your Map task:
(the, 1) (fox, 1) (faster, 1) (than, 1) (the, 1) (dog, 1)
How many keys will be passed to the Reducer's reduce method?

  • A. One
  • B. Two
  • C. Five
  • D. Six
  • E. Four
  • F. Three
Answer: C

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Question #4

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

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Question #5

Given the following Pig commands:

Which one of the following statements is true?

  • A. The severe relation is not valid
  • B. The $1 variable represents the second column of data in 'my.log'
  • C. The grouped relation is not valid
  • D. The $1 variable represents the first column of data in 'my.log'
Answer: B

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