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Thread: Hadoop short interview questions

  1. #11
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    Ans for Q1 :

    Yes...Hadoop always require digital data to be processed.

  2. #12
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    Ans for Q2 :

    Since Namenode has the metadata (information) related to all the data nodes, it knows which datanode is free. So that it sends data to the available datanode based on their available occupancy.

  3. #13
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    Ans for Q3 :

    Yes, Google owns a DFS known as “Google File System (GFS)” developed by Google Inc. for their own use.

  4. #14
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    Ans for Q4 :

    A user on HDFS is like you or me, who has some query or who needs some kind of data.

  5. #15
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    Answer for Q5 :

    No, the Client is an application which runs on your machine, which is used to interact with the Namenode (job tracker) or datanode (task tracker).

  6. #16
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    Answer for Q6 :

    The communication channel between client and namenode/datanode is SSH file transfer protocol.

  7. #17
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    Answer for Q7 : Do we need to place 2nd and 3rd data in rack 2 only?

    Yes, this is to avoid datanode failure.

  8. #18
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    Answer for Q8 :

    The HDFS cluster is the name given to the whole configuration of master and slaves where data is stored. Map Reduce Engine is the programming module which is used to retrieve and analyze data.

  9. #19
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    Answer for Q9 :

    No, Map is not like a pointer.

  10. #20
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    Answer for Q10 :

    No, a job can not split into maps. Spilt is created for the file. The file is placed on datanodes in blocks. For each split, a map is needed.

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