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    MCQ - Bda

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    ShanthiniSampath
    The document contains questions about big data, Hadoop, and related technologies. It asks about the uses of traditional IT systems when integrated with big data technologies like Hadoop (big data management and data mining), the components of Hadoop (MapReduce, HDFS, YARN), features of big data analytics (scalability, open source, data recovery), Facebook's use of Hadoop (Project Prism), and common Hadoop tools (MapReduce, Hive, HBase). The questions cover topics like the five V's of big data (volume, velocity, variety), the world's largest Hadoop cluster (Facebook), and units of data that flow through Flume agents (events).

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    MCQ - Bda

    Uploaded by

    ShanthiniSampath
    2K views3 pages
    The document contains questions about big data, Hadoop, and related technologies. It asks about the uses of traditional IT systems when integrated with big data technologies like Hadoop (big data management and data mining), the components of Hadoop (MapReduce, HDFS, YARN), features of big data analytics (scalability, open source, data recovery), Facebook's use of Hadoop (Project Prism), and common Hadoop tools (MapReduce, Hive, HBase). The questions cover topics like the five V's of big data (volume, velocity, variety), the world's largest Hadoop cluster (Facebook), and units of data that flow through Flume agents (events).

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    The document contains questions about big data, Hadoop, and related technologies. It asks about the uses of traditional IT systems when integrated with big data technologies like Hadoop (big data management and data mining), the components of Hadoop (MapReduce, HDFS, YARN), features of big data analytics (scalability, open source, data recovery), Facebook's use of Hadoop (Project Prism), and common Hadoop tools (MapReduce, Hive, HBase). The questions cover topics like the five V's of big data (volume, velocity, variety), the world's largest Hadoop cluster (Facebook), and units of data that flow through Flume agents (events).

    Copyright:

    © All Rights Reserved
    Download as DOCX, PDF, TXT or read online from Scribd
    Download as docx, pdf, or txt
    2K views3 pages

    MCQ - Bda

    Uploaded by

    ShanthiniSampath
    The document contains questions about big data, Hadoop, and related technologies. It asks about the uses of traditional IT systems when integrated with big data technologies like Hadoop (big data management and data mining), the components of Hadoop (MapReduce, HDFS, YARN), features of big data analytics (scalability, open source, data recovery), Facebook's use of Hadoop (Project Prism), and common Hadoop tools (MapReduce, Hive, HBase). The questions cover topics like the five V's of big data (volume, velocity, variety), the world's largest Hadoop cluster (Facebook), and units of data that flow through Flume agents (events).

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    UNIT 1

    According to analysts, for what can traditional IT systems provide a foundation when
    they’re integrated with big data technologies like Hadoop?

     A. Big data management and data mining

     B. Data warehousing and business intelligence

     C. Management of Hadoop clusters

     D. Collecting and storing unstructured data

    All of the following accurately describe Hadoop, EXCEPT:

     A. Open source

     B. Real-time

     C. Java-based

     D. Distributed computing approach

    __________ has the world’s largest Hadoop cluster.

     A. Apple

     B. Datamatics

     C. Facebook

     D. None of the mentioned

    What are the five V’s of Big Data?

     A. Volume

     B. Velocity

     C. Variety

     D. All the above

    what are the main components of Big Data?

     A. MapReduce

     B. HDFS

     C. YARN
     D. All of these

    What are the Definitive features of Big Data Analytics?

     A. Open-Source

     B. Scalability

     C. Data Recovery

     D. All the above

    Facebook Tackles Big Data With _______ based on Hadoop

     A. Project Prism

     B. Prism

     C. ProjectData

     D. ProjectBid

    What is a unit of data that flows through a Flume agent?

     A. Record

     B. Event

     C. Row

     D. Log

    Match the following

    NLP

    Sl.no A Answer Sl.no B


    1 NLP 12 7 Content Analytics
    2 Text Analytics 9 8 Uses methods at the intersection of
    statistics , AI, Machine learning & DBs

    3 UIMA 7 9 Chats
    4 Noisy unstructured Data 9 10 Text Mining
    5 Data Mining 8 11 UIMA
    6 IBM 11 12 Comprehend human or natural
    language Input
    Unit II

    Hadoop is a frame work that works with a variety of related tools, Common cohorts include

    A. MapReduce, Hive and HBase


    B. Map reduce, MYSEL nad Googl Apps
    C. MapReduce, Hummer and lguana
    D. MapReduce, Heron and Trumpet.

     http://www.objectivequiz.com/objective-questions/computer-science/big-data-hadoop

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