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Updated: Oct 25, 2026

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Hortonworks HADOOP-PR000007 Exam Overview:

Certification Vendor:Hortonworks
Exam Name:Hortonworks-Certified-Apache-Hadoop-2.0-Developer (Pig and Hive Developer)
Exam Number:HADOOP-PR000007
Exam Format:Scenario-based Questions, Multiple Choice Questions
Real Exam Qty:44-110
Related Certifications:Hortonworks HDP Certified Developer (HDPCD)
Available Languages:English
Exam Duration:120 minutes
Recommended Training:Hortonworks Training Catalog (HDP Developer Training)
Exam Registration:Hortonworks Official Site
Sample Questions:Hortonworks HADOOP-PR000007 Sample Questions
Exam Way:Online proctored / testing platform (varies by provider)
Pre Condition:Basic understanding of Hadoop ecosystem, Pig Latin, and HiveQL is recommended.
Official Syllabus URL:https://hortonworks.com

Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

SectionObjectives
Data Processing with Pig- Pig Latin fundamentals
  • 1. Pig operators and transformations
    • 2. Data types and schemas
      • 3. Loading and storing data
        - Advanced Pig processing
        • 1. Joins and grouping
          • 2. User Defined Functions (UDFs)
            Hadoop Ecosystem Integration- HDFS interaction
            - Data ingestion and ETL workflows
            - MapReduce basics
            Data Warehousing with Hive- HiveQL fundamentals
            • 1. Tables, partitions, and schemas
              • 2. SELECT queries and filtering
                - Advanced Hive features
                • 1. Metastore and HCatalog usage
                  • 2. Joins and aggregations

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

                    Question #1

                    Consider the following two relations, A and B.

                    Which Pig statement combines A by its first field and B by its second field?

                    • A. C = DOIN B BY a1, A by b2;
                    • B. C = JOIN A SO, B $1;
                    • C. C = JOIN A by al, B by b2;
                    • D. C = JOIN A a1, B b2;
                    Reveal Solution  Discussion  0

                    Correct Answer: C  🗳️

                    Question #2

                    Which process describes the lifecycle of a Mapper?

                    • A. The JobTracker spawns a new Mapper to process all records in a single file.
                    • B. The TaskTracker spawns a new Mapper to process all records in a single input split.
                    • C. The JobTracker calls the TaskTracker's configure () method, then its map () method and finally its close () method.
                    • D. The TaskTracker spawns a new Mapper to process each key-value pair.
                    Reveal Solution  Discussion  0

                    Correct Answer: B  🗳️

                    Question #3

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

                    Correct Answer: A  🗳️

                    Question #4

                    Which best describes how TextInputFormat processes input files and line breaks?

                    • A. The input file is split exactly at the line breaks, so each RecordReader will read a series of complete
                      lines.
                    • B. Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReaders of
                      both splits containing the broken line.
                    • C. Input file splits may cross line breaks. A line that crosses file splits is ignored.
                    • D. Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the
                      split that contains the beginning of the broken line.
                    • E. Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the
                      split that contains the end of the broken line.
                    Reveal Solution  Discussion  0

                    Correct Answer: D  🗳️

                    Question #5

                    Which one of the following statements is false about HCatalog?

                    • A. Stores HDFS data in a database for performing SQL-like ad-hoc queries
                    • B. Exists as a subproject of Hive
                    • C. Provides a shared schema mechanism
                    • D. Designed to be used by other programs such as Pig, Hive and MapReduce
                    Reveal Solution  Discussion  0

                    Correct Answer: A  🗳️

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