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Hortonworks HADOOP-PR000007 Exam Braindumps - in .pdf Free Demo

  • Exam Code: HADOOP-PR000007
  • Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
  • , Last Updated: Sep 17, 2026
  • Q & A: 110 Questions and Answers
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  • Exam Code: HADOOP-PR000007
  • Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
  • , Last Updated: Sep 17, 2026
  • Q & A: 110 Questions and Answers
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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

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

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

                    Correct Answer: A  🗳️

                    Question #2

                    What are the TWO main components of the YARN ResourceManager process? Choose 2 answers

                    • A. Job Tracker
                    • B. Task Tracker
                    • C. Scheduler
                    • D. Applications Manager
                    Reveal Solution  Discussion  0

                    Correct Answer: C,D  🗳️

                    Question #3

                    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 no content until the whole file written and closed.
                    • B. They would see the current of the file through the last completed block.
                    • 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: B  🗳️

                    Question #4

                    Given a directory of files with the following structure:
                    line number, tab character, string:
                    Example:
                    1 abialkjfjkaoasdfjksdlkjhqweroij
                    2 kadfjhuwqounahagtnbvaswslmnbfgy
                    3 kjfteiomndscxeqalkzhtopedkfsikj
                    You want to send each line as one record to your Mapper. Which InputFormat should you use to complete
                    the line: conf.setInputFormat (____.class) ; ?

                    • A. SequenceFileInputFormat
                    • B. SequenceFileAsTextInputFormat
                    • C. KeyValueFileInputFormat
                    • D. BDBInputFormat
                    Reveal Solution  Discussion  0

                    Correct Answer: C  🗳️

                    Question #5

                    You need to perform statistical analysis in your MapReduce job and would like to call methods in the
                    Apache Commons Math library, which is distributed as a 1.3 megabyte Java archive (JAR) file. Which is
                    the best way to make this library available to your MapReducer job at runtime?

                    • A. Have your system administrator copy the JAR to all nodes in the cluster and set its location in the
                      HADOOP_CLASSPATH environment variable before you submit your job.
                    • B. Have your system administrator place the JAR file on a Web server accessible to all cluster nodes and
                      then set the HTTP_JAR_URL environment variable to its location.
                    • C. When submitting the job on the command line, specify the -libjars option followed by the JAR file path.
                    • D. Package your code and the Apache Commands Math library into a zip file named JobJar.zip
                    Reveal Solution  Discussion  0

                    Correct Answer: C  🗳️

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