Ultimate Quiz Big Data

31 Questions
Ultimate Quiz Big Data

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Questions and Answers
  • 1. 
    • A. 

      True

    • B. 

      False

  • 2. 
    Many analytics tools are too complex for the average user, and this is one justification for Big Data.
    • A. 

      True

    • B. 

      False

  • 3. 
    Big Data uses commodity hardware, which is expensive, specialized hardware that is custom built for a client or application.
    • A. 

      True

    • B. 

      False

  • 4. 
    MapReduce can be easily understood by skilled programmers due to its procedural nature
    • A. 

      True

    • B. 

      False

  • 5. 
    Hadoop was designed to handle petabytes and extabytes of data distributed over multiple nodes in parallel.
    • A. 

      True

    • B. 

      False

  • 6. 
    Hadoop and MapReduce require each other to work.
    • A. 

      True

    • B. 

      False

  • 7. 
    In most cases, Hadoop is used to replace data warehouses
    • A. 

      True

    • B. 

      False

  • 8. 
    Despite their potential, many current NoSQL tools lack mature management and monitoring tools.
    • A. 

      True

    • B. 

      False

  • 9. 
    The data scientist is a profession for a field that is still largely being defined.
    • A. 

      True

    • B. 

      False

  • 10. 
    There is a current undersupply of data scientists for the Big Data market.
    • A. 

      True

    • B. 

      False

  • 11. 
    For low latency, interactive reports, a data warehouse is preferable to Hadoop.
    • A. 

      True

    • B. 

      False

  • 12. 
    If you have many flexible programming languages running in parallel, Hadoop is preferable to a datawarehouse.
    • A. 

      True

    • B. 

      False

  • 13. 
    It is important for Big Data and self-service business intelligence go hand in hand to get maximum valuefrom analytics 
    • A. 

      True

    • B. 

      False

  • 14. 
    Big Data simplifies data governance issues, especially for global firms.
    • A. 

      True

    • B. 

      False

  • 15. 
    Current total storage capacity lags behind the digital information being generated in the world.
    • A. 

      True

    • B. 

      False

  • 16. 
    Using data to understand customers/clients and business operations to sustain and foster growth and profitability is 
    • A. 

      now completely automated with no human intervention required.

    • B. 

      Essentially the same now as it has always been.

    • C. 

      An increasingly challenging task for today's enterprises.

    • D. 

      Easier with the advent of BI and Big Data.

  • 17. 
    A newly popular unit of data in the Big Data era is the petabyte (PB), which is 
    • A. 

      1012 bytes.

    • B. 

      1018 bytes.

    • C. 

      1015 bytes.

    • D. 

      109 bytes.

  • 18. 
    Which of the following sources is likely to produce Big Data the fastest? 
    • A. 

      Order entry clerks

    • B. 

      RFID tags

    • C. 

      online customers

    • D. 

      Cashiers

  • 19. 
    Data flows can be highly inconsistent, with periodic peaks, making data loads hard to manage. What is this feature of Big Data called? 
    • A. 

      variability

    • B. 

      Periodicity

    • C. 

      Inconsistency

    • D. 

      Volatility

  • 20. 
    Allowing Big Data to be processed in memory and distributed across a dedicated set of nodes can solvecomplex problems in near—real time with highly accurate insights. What is this process called? 
    • A. 

      in-database analytics

    • B. 

      Appliances

    • C. 

      In-memory analytics

    • D. 

      Grid computing

  • 21. 
    Which Big Data approach promotes efficiency, lower cost, and better performance by processing jobs in a shared, centrally managed pool of IT resources? 
    • A. 

      In-memory analytics

    • B. 

      In-database analytics

    • C. 

      appliances

    • D. 

      grid computing

  • 22. 
    How does Hadoop work?
    • A. 

      It integrates Big Data into a whole so large data elements can be processed as a whole on one computer

    • B. 

      It integrates Big Data into a whole so large data elements can be processed as a whole on multiple computers.

    • C. 

      It breaks up Big Data into multiple parts so each part can be processed and analyzed at the same time on multiple computers

    • D. 

      It breaks up Big Data into multiple parts so each part can be processed and analyzed at the same time on one computer.

  • 23. 
    What is the Hadoop Distributed File System (HDFS) designed to handle? 
    • A. 

      Unstructured and semistructured relational data

    • B. 

      structured and semistructured relational data

    • C. 

      Structured and semistructured non-relational data

    • D. 

      Unstructured and semistructured non-relational data

  • 24. 
    In a Hadoop "stack," what is a slave node? 
    • A. 

      A node where data is stored and processed

    • B. 

      A node where bits of programs are stored

    • C. 

      a node responsible for holding all the source programs

    • D. 

      A node where metadata is stored and used to organize data processing

  • 25. 
    In a Hadoop "stack," what node periodically replicates and stores data from the Name Node should it fail? 
    • A. 

      Backup node

    • B. 

      Slave node

    • C. 

      Secondary node

    • D. 

      substitute node

  • 26. 
    All of the following statements about MapReduce are true EXCEPT 
    • A. 

      MapReduce is a general-purpose execution engine

    • B. 

      MapReduce handles parallel programming.

    • C. 

      MapReduce handles the complexities of network communication.

    • D. 

      MapReduce runs without fault tolerance.

  • 27. 
    Traditional data warehouses have not been able to keep up with 
    • A. 

      expert systems that run on them.

    • B. 

      The evolution of the SQL language.

    • C. 

      OLAP

    • D. 

      the variety and complexity of data.

  • 28. 
    Under which of the following requirements would it be more appropriate to use Hadoop over a data warehouse? 
    • A. 

      ANSI 2003 SQL compliance is required

    • B. 

      Unrestricted, ungoverned sandbox explorations

    • C. 

      Analysis of provisional data

    • D. 

      Online archives alternative to tape

  • 29. 
    What is Big Data's relationship to the cloud? 
    • A. 

      Hadoop cannot be deployed effectively in the cloud just yet.

    • B. 

      IBM's homegrown Hadoop platform is the only option.

    • C. 

      Amazon and Google have working Hadoop cloud offerings.

    • D. 

      Only MapReduce works in the cloud; Hadoop does not.

  • 30. 
    Companies with the largest revenues from Big Data tend to be 
    • A. 

      The largest computer and IT services firms.

    • B. 

      Non-U.S. Big Data firms.

    • C. 

      Pure open source Big Data firms.

    • D. 

      Small computer and IT services firms

  • 31. 
    In the health sciences, the largest potential source of Big Data comes from 
    • A. 

      Research administration.

    • B. 

      Human resources.

    • C. 

      accounting systems.

    • D. 

      Patient monitoring