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

HADOOP-PR000007 real exams

Exam Code: HADOOP-PR000007

Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)

Updated: Jul 20, 2026

Q & A: 110 Questions and Answers

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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

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

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

                    1. How are keys and values presented and passed to the reducers during a standard sort and shuffle phase of MapReduce?

                    A) Keys are presented to reducer in sorted order; values for a given key are not sorted.
                    B) Keys are presented to reducer in sorted order; values for a given key are sorted in ascending order.
                    C) Keys are presented to a reducer in random order; values for a given key are sorted in ascending order.
                    D) Keys are presented to a reducer in random order; values for a given key are not sorted.


                    2. In a MapReduce job, you want each of your input files processed by a single map task. How do you
                    configure a MapReduce job so that a single map task processes each input file regardless of how many
                    blocks the input file occupies?

                    A) Increase the parameter that controls minimum split size in the job configuration.
                    B) Set the number of mappers equal to the number of input files you want to process.
                    C) Write a custom FileInputFormat and override the method isSplitable to always return false.
                    D) Write a custom MapRunner that iterates over all key-value pairs in the entire file.


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

                    A) 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.
                    B) The input file is split exactly at the line breaks, so each RecordReader will read a series of complete
                    lines.
                    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 RecordReaders of
                    both splits containing 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.


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


                    5. What does the following command do? register '/piggyban):/pig-files.jar';

                    A) Transforms Pig user-defined functions into a format that Hive can accept
                    B) Assigns a name to a user-defined function or streaming command
                    C) Invokes the user-defined functions contained in the jar file
                    D) Specifies the location of the JAR file containing the user-defined functions


                    Solutions:

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

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