Hortonworks HADOOP-PR000007 Q&A - in .pdf

  • HADOOP-PR000007 pdf
  • Exam Code: HADOOP-PR000007
  • Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
  • Updated: Jul 19, 2026
  • Q & A: 110 Questions and Answers
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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Warehousing with Hive- Advanced Hive features
  • 1. Metastore and HCatalog usage
    • 2. Joins and aggregations
      - HiveQL fundamentals
      • 1. Tables, partitions, and schemas
        • 2. SELECT queries and filtering
          Topic 2: Hadoop Ecosystem Integration- HDFS interaction
          - MapReduce basics
          - Data ingestion and ETL workflows
          Topic 3: 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

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

                    1. Which Hadoop component is responsible for managing the distributed file system metadata?

                    A) DataNode
                    B) Metanode
                    C) NameSpaceManager
                    D) NameNode


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

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


                    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) 3
                    B) 0
                    C) 6
                    D) 1
                    E) 5


                    4. For each intermediate key, each reducer task can emit:

                    A) One final key-value pair per value associated with the key; no restrictions on the type.
                    B) As many final key-value pairs as desired. There are no restrictions on the types of those key-value
                    pairs (i.e., they can be heterogeneous).
                    C) As many final key-value pairs as desired, but they must have the same type as the intermediate
                    key-value pairs.
                    D) As many final key-value pairs as desired, as long as all the keys have the same type and all the values
                    have the same type.
                    E) One final key-value pair per key; no restrictions on the type.


                    5. You want to Ingest log files Into HDFS, which tool would you use?

                    A) Flume
                    B) HCatalog
                    C) Sqoop
                    D) Ambari


                    Solutions:

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

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