Podcast
Questions and Answers
Which component is a necessity in a model-based Decision Support System (DSS)?
Which component is a necessity in a model-based Decision Support System (DSS)?
What must be included in a Decision Support System (DSS)?
What must be included in a Decision Support System (DSS)?
Which of the following defines a structured collection of interrelated data for an organization?
Which of the following defines a structured collection of interrelated data for an organization?
Which factor does not contribute to the trend of big data?
Which factor does not contribute to the trend of big data?
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Which characteristic is not associated with Big Data?
Which characteristic is not associated with Big Data?
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What type of storage technology offers minimal features and maximizes storage space while minimizing costs?
What type of storage technology offers minimal features and maximizes storage space while minimizing costs?
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What is the primary definition of big data?
What is the primary definition of big data?
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In the context of big data, what does the term 'Velocity' primarily refer to?
In the context of big data, what does the term 'Velocity' primarily refer to?
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Which of the following is NOT categorized under unstructured data?
Which of the following is NOT categorized under unstructured data?
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Which of the following best describes the 'Volume' aspect of the 3Vs of big data?
Which of the following best describes the 'Volume' aspect of the 3Vs of big data?
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Which challenge is primarily associated with big data processing?
Which challenge is primarily associated with big data processing?
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Which one of the following is a key characteristic of big data's 'Variety'?
Which one of the following is a key characteristic of big data's 'Variety'?
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Which data type is generally not considered a part of big data?
Which data type is generally not considered a part of big data?
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Study Notes
Multiple Choice Questions - Big Data & DSS
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DSS Key Element: A key element in most Decision Support Systems (DSS) and a necessity in a model-based DSS is an analytical model.
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DSS Component: A Decision Support System (DSS) must include a user interface.
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Data Repository: A database is a collection of interrelated data, organized to serve multiple users and applications.
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Big Data Trend: The cost of storing and retaining big data is a factor that does not propel the trend.
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Big Data Characteristic: Verified data flows are not a characteristic of Big Data. It focuses on volume, velocity, variety, veracity.
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Big Data Analysis Technique: Tiered storage is not a technique used in big data analysis. Techniques include distributed storage and parallel processing.
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Data Warehouse: A data warehouse is a central repository that collects data from various sources.
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Big Data Storage Selection: Scalability is a crucial characteristic of big data when selecting storage.
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Big Data Storage Technology: Object storage is a big data storage technology that emphasizes cost-effective massive storage space.
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Big Data Application: Big Data is about gathering and analyzing massive amounts of data.
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Definition of Big Data: Big Data refers to extremely large datasets that exceed the capabilities of traditional data processing systems.
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Big Data Velocity: The main characteristic of big data known as "Velocity" is the speed of data generation and processing.
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Unstructured Data: Emails, social media posts, and images are examples of unstructured data.
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3Vs of Big Data: The 3Vs of Big Data are Variety, Velocity, and Volume.
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Big Data Processing Challenge: The primary challenge in big data processing is real-time processing.
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3Vs of Big Data (Variety): The "Variety" of big data refers to the different types of data it encompasses.
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Not Big Data: Relational databases are not considered part of big data, although they can contain data that forms part of big data.
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Description
Test your knowledge on Decision Support Systems and Big Data concepts! This quiz covers essential components, characteristics, and analysis techniques related to big data and DSS. Challenge yourself and deepen your understanding of these critical areas in data management.
