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

  • Exam Code: HADOOP-PR000007
  • Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
  • Updated: Oct 14, 2026
  • Q & A: 110 Questions and Answers

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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

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

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

                    Question #1

                    In the reducer, the MapReduce API provides you with an iterator over Writable values. What does calling
                    the next () method return?

                    • A. It returns a reference to a different Writable object time.
                    • B. It returns a reference to the same Writable object if the next value is the same as the previous value, or
                      a new Writable object otherwise.
                    • C. It returns a reference to a Writable object. The API leaves unspecified whether this is a reused object
                      or a new object.
                    • D. It returns a reference to a Writable object from an object pool.
                    • E. It returns a reference to the same Writable object each time, but populated with different data.
                    Reveal Solution  Discussion  0

                    Correct Answer: E  🗳️

                    Question #2

                    Identify the tool best suited to import a portion of a relational database every day as files into HDFS, and
                    generate Java classes to interact with that imported data?

                    • A. Pig
                    • B. Hue
                    • C. fuse-dfs
                    • D. Hive
                    • E. Oozie
                    • F. Flume
                    • G. Sqoop
                    Reveal Solution  Discussion  0

                    Correct Answer: G  🗳️

                    Question #3

                    Given the following Hive command:
                    INSERT OVERWRITE TABLE mytable SELECT * FROM myothertable;
                    Which one of the following statements is true?

                    • A. Any existing data in mytable will be overwritten
                    • B. The contents of myothertable are appended to mytable
                    • C. A new table named mytable is created, and the contents of myothertable are copied into mytable
                    • D. The statement is not a valid Hive command
                    Reveal Solution  Discussion  0

                    Correct Answer: A  🗳️

                    Question #4

                    Identify the MapReduce v2 (MRv2 / YARN) daemon responsible for launching application containers and
                    monitoring application resource usage?

                    • A. TaskTracker
                    • B. JobTracker
                    • C. ApplicationMasterService
                    • D. ResourceManager
                    • E. NodeManager
                    • F. ApplicationMaster
                    Reveal Solution  Discussion  0

                    Correct Answer: E  🗳️

                    Question #5

                    Which HDFS command displays the contents of the file x in the user's HDFS home directory?

                    • A. hadoop fs -cp x
                    • B. hdfs fs -get x
                    • C. hadoop fs -cat x
                    • D. hadoop fs -Is x
                    Reveal Solution  Discussion  0

                    Correct Answer: C  🗳️

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