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Hortonworks HADOOP-PR000007 exam : Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)

HADOOP-PR000007 Exam Questions
  • Exam Code: HADOOP-PR000007
  • Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
  • Updated: Nov 10, 2026
  • Q & A: 110 Questions and Answers
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About Hortonworks HADOOP-PR000007 Exam Guide

Targeted preparation beats scattered reading every time, especially for a structured certification exam. TorrentExam keeps your HADOOP-PR000007 preparation targeted with 110 practice questions mapped to the Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) objectives, so you study exactly what the exam tests.

Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

SectionObjectives
Topic 1: Hadoop Core Concepts- HDFS architecture and commands
- YARN and MapReduce fundamentals
Topic 2: Hadoop Ecosystem Tools- Workflow and processing frameworks
- Sqoop and data ingestion
Topic 3: Hive Development- Hive table definitions and queries
- Hive optimization and execution
Topic 4: Pig Development- Pig data types and UDFs
- Pig Latin scripting

HADOOP-PR000007 Exam FAQs

We believe useful study material should be accessible to every candidate, whatever their budget. That is why our prices are kept reasonable, why a free demo is open to everyone, and why discounts run from time to time β€” quality preparation should never be a privilege reserved for the few.

This package includes 110 practice questions for the Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) exam. Every answer is verified by an experienced team of experts, so you can trust what you study.

You can contact our customer service online or describe your problem by email, and you will receive a reply with a solution as quickly as possible. Whether your question is about purchasing, downloading, or using the material, our staff treats your time as a priority and works the issue through with you until it is resolved.

The Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) exam contains 104-110 questions, and you will have 120 minutes minutes to complete them. Practicing under the same time pressure makes the real exam feel like a rehearsal.

Familiarity with Hadoop ecosystem and development tools.

You can confirm the current eligibility requirements on the official HADOOP-PR000007 exam page before you register.

The Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) practice questions are organized around the official exam objectives. Key topics include:

  • Hadoop Ecosystem Tools ()
  • Hadoop Core Concepts ()
  • Pig Development ()

Targeted practice against these topics is far more efficient than unfocused reading.

Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:

Question #1

Which Hadoop component is responsible for managing the distributed file system metadata?

  • A. NameNode
  • B. DataNode
  • C. Metanode
  • D. NameSpaceManager
Reveal Solution  Discussion  0

Correct Answer: A  πŸ—³οΈ

Question #2

Which one of the following Hive commands uses an HCatalog table named x?

  • A. SELECT x.-FROM org.apache.hcatalog.hive.HCatLoader('x');
  • B. SELECT * FROM org.apache.hcatalog.hive.HCatLoader('x');
  • C. Hive commands cannot reference an HCatalog table
  • D. SELECT * FROM x;
Reveal Solution  Discussion  0

Correct Answer: B  πŸ—³οΈ

Question #3

Which one of the following classes would a Pig command use to store data in a table defined in
HCatalog?

  • A. org.apache.hcatalog.pig.HCatStorer
  • B. org.apache.hcatalog.pig.HCatOutputFormat
  • C. No special class is needed for a Pig script to store data in an HCatalog table
  • D. Pig scripts cannot use an HCatalog table
Reveal Solution  Discussion  0

Correct Answer: A  πŸ—³οΈ

Question #4

To process input key-value pairs, your mapper needs to lead a 512 MB data file in memory. What is the
best way to accomplish this?

  • A. Place the data file in the DistributedCache and read the data into memory in the configure method of
    the mapper.
  • B. Place the data file in the DataCache and read the data into memory in the configure method of the
    mapper.
  • C. Place the data file in the DistributedCache and read the data into memory in the map method of the
    mapper.
  • D. Serialize the data file, insert in it the JobConf object, and read the data into memory in the configure
    method of the mapper.
Reveal Solution  Discussion  0

Correct Answer: B  πŸ—³οΈ

Question #5

You use the hadoop fs -put command to write a 300 MB file using and HDFS block size of 64 MB. Just
after this command has finished writing 200 MB of this file, what would another user see when trying to
access this life?

  • A. They would see the current of the file through the last completed block.
  • B. They would see no content until the whole file written and closed.
  • C. They would see Hadoop throw an ConcurrentFileAccessException when they try to access this file.
  • D. They would see the current state of the file, up to the last bit written by the command.
Reveal Solution  Discussion  0

Correct Answer: A  πŸ—³οΈ

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