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: Sep 09, 2026
  • Q & A: 110 Questions and Answers

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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

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

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

                    Question #1

                    Which one of the following statements describes a Hive user-defined aggregate function?

                    • A. Operates on multiple input rows and creates a single row as output
                    • B. Operates on a single input row and produces a single row as output
                    • C. Operates on a single input row and produces a table as output
                    • D. Operates on multiple input rows and produces a table as output
                    Answer: A
                    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. Sqoop
                    • B. Hue
                    • C. Pig
                    • D. Flume
                    • E. fuse-dfs
                    • F. Oozie
                    • G. Hive
                    Answer: A
                    Question #3

                    You have written a Mapper which invokes the following five calls to the OutputColletor.collect method:
                    output.collect (new Text ("Apple"), new Text ("Red") ) ;
                    output.collect (new Text ("Banana"), new Text ("Yellow") ) ;
                    output.collect (new Text ("Apple"), new Text ("Yellow") ) ;
                    output.collect (new Text ("Cherry"), new Text ("Red") ) ;
                    output.collect (new Text ("Apple"), new Text ("Green") ) ;
                    How many times will the Reducer's reduce method be invoked?

                    • A. 5
                    • B. 1
                    • C. 6
                    • D. 3
                    • E. 0
                    Answer: D
                    Question #4

                    In Hadoop 2.0, which one of the following statements is true about a standby NameNode?
                    The Standby NameNode:

                    • A. Communicates directly with the active NameNode to maintain the state of the active NameNode.
                    • B. Processes all client requests and block reports from the appropriate DataNodes.
                    • C. Receives the same block reports as the active NameNode.
                    • D. Runs on the same machine and shares the memory of the active NameNode.
                    Answer: C
                    Question #5

                    Which one of the following statements is true regarding a MapReduce job?

                    • A. The job's Partitioner shuffles and sorts all (key.value) pairs and sends the output to all reducers
                    • B. The reduce method is invoked once for each unique value
                    • C. The Mapper must sort its output of (key.value) pairs in descending order based on value
                    • D. The default Hash Partitioner sends key value pairs with the same key to the same Reducer
                    Answer: A

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