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CSE MCQs :: Big Data Analytics

Big Data Analytics -
  1. According to analysts, for what can traditional IT systems provide a foundation when they're integrated with big data technologies like Hadoop?
    2. A.
    Big data management and data mining
    B.
    Data warehousing and business intelligence
    C.
    Management of Hadoop clusters
    D.
    Collecting and storing unstructured data

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  2. All of the following accurately describe Hadoop, EXCEPT:
    3. A.
    Open source
    B.
    Real-time
    C.
    Java-based
    D.
    Distributed computing approach

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  3. __________ has the world's largest Hadoop cluster.
    4. A.
    Apple
    B.
    Datamatics
    C.
    Facebook
    D.
    None of the mentioned

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  4. What are the five V's of Big Data?
    5. A.
    Volume
    B.
    Velocity
    C.
    Variety
    D.
    All the above

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  5. _________ hides the limitations of Java behind a powerful and concise Clojure API for Cascading.
    6. A.
    Scalding
    B.
    Cascalog
    C.
    Hcatalog
    D.
    Hcalding

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  6. What are the main components of Big Data?
    7. A.
    MapReduce
    B.
    HDFS
    C.
    YARN
    D.
    All of these

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  7. What are the different features of Big Data Analytics?
    8. A.
    Open-Source
    B.
    Scalability
    C.
    Data Recovery
    D.
    All the above

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  8. Define the Port Numbers for NameNode, Task Tracker and Job Tracker.
    9. A.
    NameNode
    B.
    Task Tracker
    C.
    Job Tracker
    D.
    All of the above

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  9. Facebook Tackles Big Data With _______ based on Hadoop
    10. A.
    Project Prism
    B.
    Prism
    C.
    ProjectData
    D.
    ProjectBid

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  10. What is a unit of data that flows through a Flume agent?
    11. A.
    Record
    B.
    Event
    C.
    Row
    D.
    Log

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