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

Updated: Sep 07, 2026

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HADOOP-PR000007 Braindumps VCE
  • Exam Code: HADOOP-PR000007
  • Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)

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

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

                    Question 1

                    Which YARN component is responsible for monitoring the success or failure of a Container?

                    A. ResourceManager
                    B. NodeManager
                    C. ApplicationMaster
                    D. JobTracker


                    Question 2

                    For each input key-value pair, mappers can emit:

                    A. One intermediate key-value pair, but of the same type.
                    B. As many intermediate key-value pairs as designed. There are no restrictions on the types of those
                    key-value pairs (i.e., they can be heterogeneous).
                    C. As many intermediate key-value pairs as designed, as long as all the keys have the same types and all
                    the values have the same type.
                    D. One intermediate key-value pair, of a different type.
                    E. As many intermediate key-value pairs as designed, but they cannot be of the same type as the input
                    key-value pair.


                    Question 3

                    Which one of the following statements is true about a Hive-managed table?

                    A. Records can only be added to the table using the Hive INSERT command.
                    B. Hive dynamically defines the schema of the table based on the format of the underlying data.
                    C. Hive dynamically defines the schema of the table based on the FROM clause of a SELECT query.
                    D. When the table is dropped, the underlying folder in HDFS is deleted.


                    Question 4

                    You have a directory named jobdata in HDFS that contains four files: _first.txt, second.txt, .third.txt and
                    # data.txt. How many files will be processed by the FileInputFormat.setInputPaths () command when it's
                    given a path object representing this directory?

                    A. Two, file names with a leading period or underscore are ignored
                    B. Four, all files will be processed
                    C. One, no special characters can prefix the name of an input file
                    D. Three, the pound sign is an invalid character for HDFS file names
                    E. None, the directory cannot be named jobdata


                    Question 5

                    You want to run Hadoop jobs on your development workstation for testing before you submit them to your
                    production cluster. Which mode of operation in Hadoop allows you to most closely simulate a production
                    cluster while using a single machine?

                    A. Run the hadoop command with the -jt local and the -fs file:///options.
                    B. Run all the nodes in your production cluster as virtual machines on your development workstation.
                    C. Run simldooop, the Apache open-source software for simulating Hadoop clusters.
                    D. Run the DataNode, TaskTracker, NameNode and JobTracker daemons on a single machine.


                    Solutions:

                    Question 1
                    Answer: A
                    Question 2
                    Answer: C
                    Question 3
                    Answer: D
                    Question 4
                    Answer: A
                    Question 5
                    Answer: D

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