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Hortonworks Apache-Hadoop-Developer Braindumps - in .pdf Free Demo

  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Last Updated: Sep 17, 2026
  • Q & A: 110 Questions and Answers
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  • Exam Code: Apache-Hadoop-Developer
  • Exam Name: Hadoop 2.0 Certification exam for Pig and Hive Developer
  • Last Updated: Sep 17, 2026
  • Q & A: 110 Questions and Answers
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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

SectionObjectives
Topic 1: Apache Hive- HiveQL Query Language
  • 1. Schema definition and tables
    • 2. SELECT, JOIN, and aggregation queries
      - Hive architecture
      • 1. Metastore and query execution engine
        Topic 2: Apache Pig- Pig execution model
        • 1. MapReduce translation of Pig scripts
          - Pig Latin Programming
          • 1. Filtering, grouping, and joining data
            • 2. Data loading and transformation
              Topic 3: Data Processing and Integration- Data ingestion and ETL workflows
              • 1. Batch processing concepts
                - Hadoop data formats
                • 1. Text, SequenceFile, and columnar formats
                  Topic 4: Hadoop Ecosystem Fundamentals- YARN and Resource Management
                  • 1. Cluster resource allocation
                    • 2. Resource scheduling concepts
                      - HDFS Architecture and Data Storage Concepts
                      • 1. NameNode and DataNode roles
                        • 2. Data replication and fault tolerance

                          Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:

                          Question #1

                          Assuming the following Hive query executes successfully:

                          Which one of the following statements describes the result set?

                          • A. An 80-value ngram of sentences that contain the words "you" or "are" in the lines column of the inputdata table.
                          • B. A frequency distribution of the top 80 words that follow the subsequence "you are" in the lines column of the inputdata table.
                          • C. A trigram of the top 80 sentences that contain "you are" followed by a null space in the lines column of the inputdata table.
                          • D. A bigram of the top 80 sentences that contain the substring "you are" in the lines column of the input data A1 table.
                          Reveal Solution  Discussion  0

                          Correct Answer: B  🗳️

                          Question #2

                          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. Partitioner
                          • B. WritableComparable
                          • C. Writable
                          • D. OutputFormat
                          • E. Combiner
                          • F. InputFormat
                          Reveal Solution  Discussion  0

                          Correct Answer: E  🗳️

                          Explanation: Only visible for VCE4Dumps members. You can sign-up / login (it's free).

                          Question #3

                          You have just executed a MapReduce job. Where is intermediate data written to after being emitted from the Mapper's map method?

                          • A. Into in-memory buffers on the TaskTracker node running the Mapper that spill over and are written into HDFS.
                          • B. Into in-memory buffers that spill over to the local file system of the TaskTracker node running the Mapper.
                          • C. Into in-memory buffers that spill over to the local file system (outside HDFS) of the TaskTracker node running the Reducer
                          • D. Intermediate data in streamed across the network from Mapper to the Reduce and is never written to disk.
                          • E. Into in-memory buffers on the TaskTracker node running the Reducer that spill over and are written into HDFS.
                          Reveal Solution  Discussion  0

                          Correct Answer: B  🗳️

                          Explanation: Only visible for VCE4Dumps members. You can sign-up / login (it's free).

                          Question #4

                          Which one of the following files is required in every Oozie Workflow application?

                          • A. Config-default.xml
                          • B. job.properties
                          • C. Workflow.xml
                          • D. Oozie.xml
                          Reveal Solution  Discussion  0

                          Correct Answer: C  🗳️

                          Question #5

                          Indentify which best defines 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 the same type.
                          • C. A SequenceFile contains a binary encoding of an arbitrary number of homogeneous Writable objects
                          • D. A SequenceFile contains a binary encoding of an arbitrary number of heterogeneous Writable objects
                          Reveal Solution  Discussion  0

                          Correct Answer: B  🗳️

                          Explanation: Only visible for VCE4Dumps members. You can sign-up / login (it's free).

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