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

HADOOP-PR000007 Exam Simulator
  • Exam Code: HADOOP-PR000007
  • Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
  • Updated: Aug 01, 2026
  • Q & A: 110 Questions and Answers

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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

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

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

                    1. In a MapReduce job with 500 map tasks, how many map task attempts will there be?

                    A) Between 500 and 1000.
                    B) Exactly 500.
                    C) At least 500.
                    D) At most 500.
                    E) It depends on the number of reduces in the job.


                    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) Sqoop
                    B) Hue
                    C) Pig
                    D) Flume
                    E) fuse-dfs
                    F) Oozie
                    G) Hive


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


                    4. You've written a MapReduce job that will process 500 million input records and generated 500 million
                    key-value pairs. The data is not uniformly distributed. Your MapReduce job will create a significant
                    amount of intermediate data that it needs to transfer between mappers and reduces which is a potential
                    bottleneck. A custom implementation of which interface is most likely to reduce the amount of
                    intermediate data transferred across the network?

                    A) Combiner
                    B) InputFormat
                    C) WritableComparable
                    D) Partitioner
                    E) OutputFormat
                    F) Writable


                    5. Which one of the following is NOT a valid Oozie action?

                    A) hive
                    B) pig
                    C) mrunit
                    D) mapreduce


                    Solutions:

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

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