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MS103 Term Exam (Midterm and Finals)

Quiz by Christopher Marmol

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30 questions
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  • Q1
    Which of the following is a primary benefit of using Big Data applications?
    Increased data storage costs
    Improved decision-making
    Less data analysis
    Longer processing times
    30s
  • Q2
    Which of the following technologies is commonly used in Big Data processing?
    Microsoft Word
    Apache Hadoop
    Google Docs
    Adobe Photoshop
    30s
  • Q3
    What is the primary purpose of data visualization in Big Data applications?
    To increase data collection speed
    To eliminate the need for data analysis
    To make complex data accessible and understandable
    To store data more securely
    30s
  • Q4
    Which of the following best describes 'volume' in the context of Big Data?
    The speed at which data is processed
    The validity of data sources
    The variety of data types
    The amount of data generated
    30s
  • Q5
    What does the term 'data mining' refer to in Big Data applications?
    The process of discovering patterns and insights from large datasets
    The direct collection of user data
    The storage of data in a database
    The method of deleting unnecessary data
    30s
  • Q6
    Which of the following is an example of a Big Data source?
    Printed books
    Local hard drives
    Microsoft Excel spreadsheets
    Social media platforms
    30s
  • Q7
    What role do machine learning algorithms play in Big Data applications?
    They help analyze and predict outcomes based on data patterns
    They replace traditional databases
    They store data securely
    They are used for data entry
    30s
  • Q8
    What is 'data quality' in the context of Big Data?
    The accuracy, completeness, and reliability of data
    The speed of data processing
    The number of users accessing data
    The size of the dataset
    30s
  • Q9
    What are 'predictive analytics' used for in Big Data applications?
    To increase data storage capacity
    To improve user interface design
    To forecast future trends and behaviors based on historical data
    To simplify data collection methods
    30s
  • Q10
    Which of the following describes the 'variety' aspect of Big Data?
    The accuracy of the data collected
    The speed at which data is generated
    The different types and sources of data
    The size of the data being processed
    30s
  • Q11
    Which of the following is a popular framework used for processing large datasets in Big Data applications?
    Notepad
    Apache Spark
    Google Docs
    Microsoft Excel
    30s
  • Q12
    What type of data is Big Data often associated with?
    Static data
    Structured data
    Unstructured data
    Small data
    30s
  • Q13
    Which tool is commonly used for data visualization in Big Data analytics?
    Tableau
    Photoshop
    Microsoft Word
    VLC Media Player
    30s
  • Q14
    What is the primary purpose of Hadoop in Big Data applications?
    Spreadsheet management
    Word processing
    Distributed storage and processing
    Email communication
    30s
  • Q15
    Which of the following is a key characteristic of Big Data?
    Color
    Volume
    Weight
    Material
    30s

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