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

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

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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

SectionObjectives
Topic 1: Hadoop Ecosystem Integration- MapReduce basics
- Data ingestion and ETL workflows
- HDFS interaction
Topic 2: 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 3: Data Processing with Pig- Pig Latin fundamentals
          • 1. Loading and storing data
            • 2. Data types and schemas
              • 3. Pig operators and transformations
                - 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. Which one of the following statements describes the relationship between the ResourceManager and the
                    ApplicationMaster?

                    A) The ApplicationMaster requests resources from the ResourceManager
                    B) The ApplicationMaster starts an instance of the ResourceManager within each Container
                    C) The ApplicationMaster starts a single instance of the ResourceManager
                    D) The ResourceManager monitors and restarts any failed Containers of the ApplicationMaster


                    2. Indentify which best defines a SequenceFile?

                    A) 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.
                    B) A SequenceFile contains a binary encoding of an arbitrary number of heterogeneous Writable objects
                    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 WritableComparable objects, in
                    sorted order.


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


                    4. Given a directory of files with the following structure:
                    line number, tab character, string:
                    Example:
                    1 abialkjfjkaoasdfjksdlkjhqweroij
                    2 kadfjhuwqounahagtnbvaswslmnbfgy
                    3 kjfteiomndscxeqalkzhtopedkfsikj
                    You want to send each line as one record to your Mapper. Which InputFormat should you use to complete
                    the line: conf.setInputFormat (____.class) ; ?

                    A) BDBInputFormat
                    B) SequenceFileAsTextInputFormat
                    C) SequenceFileInputFormat
                    D) KeyValueFileInputFormat


                    5. What is the disadvantage of using multiple reducers with the default HashPartitioner and distributing your
                    workload across you cluster?

                    A) By using multiple reducers with the default HashPartitioner, output files may not be in globally sorted
                    order.
                    B) You will longer be able to take advantage of a Combiner.
                    C) There are no concerns with this approach. It is always advisable to use multiple reduces.
                    D) You will not be able to compress the intermediate data.


                    Solutions:

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

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