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CSE MCQs :: Hadoop MCQs

  1. The output of the _______ is not sorted in the Mapreduce framework for Hadoop.
  2. A.
    Mapper
    B.
    Cascader
    C.
    Scalding
    D.
    None of the mentioned

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    Workspace

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  3. Which of the following phases occur simultaneously ?
  4. A.
    Shuffle and Sort
    B.
    Reduce and Sort
    C.
    Shuffle and Map
    D.
    All of the mentioned

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  5. HDFS and NoSQL file systems focus almost exclusively on adding nodes to :
  6. A.
    Scale out
    B.
    Scale up
    C.
    Both Scale out and up
    D.
    None of the mentioned

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  7. Which is the most popular NoSQL database for scalable big data store with Hadoop ?
  8. A.
    Hbase
    B.
    MongoDB
    C.
    Cassandra
    D.
    None of the mentioned

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  9. The ________ option allows you to copy jars locally to the current working directory of tasks and automatically unjar the files.
  10. A.
    archives
    B.
    files
    C.
    task
    D.
    None of the mentioned

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  11. ______________ class allows the Map/Reduce framework to partition the map outputs based on certain key fields, not the whole keys.
  12. A.
    KeyFieldPartitioner
    B.
    KeyFieldBasedPartitioner
    C.
    KeyFieldBased
    D.
    None of the mentioned

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  13. __________ is a variant of SequenceFileInputFormat that converts the sequence file's keys and values to Text objects
  14. A.
    SequenceFile
    B.
    SequenceFileAsTextInputFormat
    C.
    SequenceAsTextInputFormat
    D.
    All of the mentioned

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  15. __________ class allows you to specify the InputFormat and Mapper to use on a per-path basis.
  16. A.
    MultipleOutputs
    B.
    MultipleInputs
    C.
    SingleInputs
    D.
    None of the mentioned

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  17. An ___________ is responsible for creating the input splits, and dividing them into records.
  18. A.
    TextOutputFormat
    B.
    TextInputFormat
    C.
    OutputInputFormat
    D.
    InputFormat

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  19. ______________ is another implementation of the MapRunnable interface that runs mappers concurrently in a configurable number of threads.
  20. A.
    MultithreadedRunner
    B.
    MultithreadedMap
    C.
    MultithreadedMapRunner
    D.
    SinglethreadedMapRunner

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