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

Apache-Hadoop-Developer Exam Questions
  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Updated: Oct 30, 2026
  • Q & A: 110 Questions and Answers
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About Hortonworks Apache-Hadoop-Developer Exam Guide

The gap between deciding and doing should be one minute long. TorrentExam delivers the Apache-Hadoop-Developer package by instant download, with an email copy inside one minute of payment — 110 practice questions for the Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer on your desk before the day moves on.

Hortonworks Apache-Hadoop-Developer Exam Overview:

Certification Vendor:Hortonworks
Exam Name:Hadoop 2.0 Certification Exam for Pig and Hive Developer
Exam Number:Hadoop-PR000007
Exam Price:$250 USD
Exam Duration:120 minutes
Related Certifications:HDP Certified Java Developer
HDP Certified Developer (HDPCD)
HDP Certified Administrator (HDPCA)
Available Languages:English
Exam Format:Live Hadoop cluster tasks, Hands-on lab, Performance-based
Real Exam Qty:Performance-based tasks
Sample Questions:Hortonworks Apache-Hadoop-Developer exam demo
Exam Way:Online remotely proctored, performance-based examination conducted on a live Hadoop cluster.
Pre Condition:No mandatory prerequisite exam. Candidates are expected to have practical experience with Hortonworks Data Platform, Pig, Hive, Sqoop and Flume.
Official Syllabus URL:https://www.cloudera.com/services-and-support/training/certification/hdp-cert-exam-faq.html

Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

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

Hortonworks Apache-Hadoop-Developer Exam — Read This First

The Apache-Hadoop-Developer exam — officially the Hadoop 2.0 Certification exam for Pig and Hive Developer — is Hortonworks's certification test for professionals working with its technologies, and passing it earns the HCAHD certification at the Professional level. Because it is vendor-issued and skills-based, employers can compare candidates on it directly — that is what keeps it valuable. It also connects naturally to HDP Certified Developer (HDPCD), HDP Certified Administrator (HDPCA), HDP Certified Java Developer.

Yes — TorrentExam publishes a free PDF demo of the Apache-Hadoop-Developer practice questions, printable if you prefer paper, so you can evaluate the content and verified answers before paying anything. Once you purchase, 365 days of free updates are included, and if the product expires, the update service renews at a 50% discount from your member zone.

The Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer syllabus spans 4 domains, led by Data Processing, Data Analysis with Hive, and Data Transformation with Pig. The complete weighted outline is in the syllabus section above — it is the map your preparation should follow.

No mandatory prerequisite exam. Candidates are expected to have practical experience with Hortonworks Data Platform, Pig, Hive, Sqoop and Flume.

Vendor criteria do change, so before scheduling, verify the latest requirements on the official Hortonworks exam page.

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You will face Performance-based tasks questions within 120 minutes on the Apache-Hadoop-Developer exam. That ratio makes time management a scored skill, and it is best trained offline where you cannot be distracted: run timed mocks in the TorrentExam Windows engine or app, and let the pacing rhythm settle in before exam day.

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

Question #1

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. Four
  • C. Five
  • D. Two
  • E. Six
  • F. Three
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #2

Which describes how a client reads a file from HDFS?

  • A. The client queries the NameNode for the block location(s). The NameNode returns the block location(s) to the client. The client reads the data directory off the DataNode(s).
  • B. The client queries all DataNodes in parallel. The DataNode that contains the requested data responds directly to the client. The client reads the data directly off the DataNode.
  • C. The client contacts the NameNode for the block location(s). The NameNode then queries the DataNodes for block locations. The DataNodes respond to the NameNode, and the NameNode redirects the client to the DataNode that holds the requested data block(s). The client then reads the data directly off the DataNode.
  • D. The client contacts the NameNode for the block location(s). The NameNode contacts the DataNode that holds the requested data block. Data is transferred from the DataNode to the NameNode, and then from the NameNode to the client.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #3

In a large MapReduce job with m mappers and n reducers, how many distinct copy
operations will there be in the sort/shuffle phase?

  • A. m
  • B. n
  • C. mn (i.e., m to the power of n)
  • D. m+n (i.e., m plus n)
  • E. mXn (i.e., m multiplied by n)
Reveal Solution  Discussion  0

Correct Answer: E  🗳️

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Question #4

Which best describes what the map method accepts and emits?

  • A. It accepts a single key-value pair as input and emits a single key and list of corresponding values as output.
  • B. It accepts a single key-value pairs as input and can emit only one key-value pair as output.
  • C. It accepts a single key-value pairs as input and can emit any number of key-value pair as output, including zero.
  • D. It accepts a list key-value pairs as input and can emit only one key-value pair as output.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #5

Examine the following Hive statements:

Assuming the statements above execute successfully, which one of the following statements is true?

  • A. The contents of File1 are parsed as comma-delimited rows and stored in a database
  • B. The contents of File1 are parsed as comma-delimited rows and loaded into /user/joe/x/
  • C. The file named File1 is moved to to/user/joe/x/
  • D. Hive reformats File1 into a structure that Hive can access and moves into to/user/joe/x/
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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