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Updated: Aug 15, 2026

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Hortonworks HADOOP-PR000007 Exam Overview:

Certification Vendor:Hortonworks
Exam Name:Hortonworks-Certified-Apache-Hadoop-2.0-Developer (Pig and Hive Developer)
Exam Number:HADOOP-PR000007
Exam Duration:120 minutes
Related Certifications:Hortonworks HDP Certified Developer (HDPCD)
Exam Format:Multiple Choice Questions, Scenario-based Questions
Available Languages:English
Real Exam Qty:44-110
Recommended Training:Hortonworks Training Catalog (HDP Developer Training)
Exam Registration:Hortonworks Official Site
Sample Questions:Hortonworks HADOOP-PR000007 Sample Questions
Exam Way:Online proctored / testing platform (varies by provider)
Pre Condition:Basic understanding of Hadoop ecosystem, Pig Latin, and HiveQL is recommended.
Official Syllabus URL:https://hortonworks.com

Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

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

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

                    1. Review the following data and Pig code:

                    What command to define B would produce the output (M,62,95l02) when invoking the DUMP operator on
                    B?

                    A) B= GROUP A BY (zip = = '95102' AND gender = = 'M');
                    B) B= FOREACH A BY (gender = = 'M' AND zip = = '95102');
                    C) B = FILTER A BY (zip = = '95102' AND gender = = M");
                    D) B = JOIN A BY (gender = = 'M' AND zip = = '95102');


                    2. What is the term for the process of moving map outputs to the reducers?

                    A) Reducing
                    B) Partitioning
                    C) Shuffling and sorting
                    D) Combining


                    3. Your client application submits a MapReduce job to your Hadoop cluster. Identify the Hadoop daemon on
                    which the Hadoop framework will look for an available slot schedule a MapReduce operation.

                    A) TaskTracker
                    B) DataNode
                    C) Secondary NameNode
                    D) JobTracker
                    E) NameNode


                    4. What is a SequenceFile?

                    A) A SequenceFile contains a binary encoding of an arbitrary number of WritableComparable objects, in
                    sorted order.
                    B) A SequenceFile contains a binary encoding of an arbitrary number key-value pairs. Each key must be
                    the same type. Each value must be same type.
                    C) A SequenceFile contains a binary encoding of an arbitrary number of heterogeneous writable objects.
                    D) A SequenceFile contains a binary encoding of an arbitrary number of homogeneous writable objects.


                    5. For each input key-value pair, mappers can emit:

                    A) As many intermediate key-value pairs as designed, as long as all the keys have the same types and all
                    the values have the same type.
                    B) As many intermediate key-value pairs as designed, but they cannot be of the same type as the input
                    key-value pair.
                    C) One intermediate key-value pair, but of the same type.
                    D) One intermediate key-value pair, of a different type.
                    E) As many intermediate key-value pairs as designed. There are no restrictions on the types of those
                    key-value pairs (i.e., they can be heterogeneous).


                    Solutions:

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

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