Big Data Quiz ChallengeVersion en ligne Test your knowledge on the 4 Vs of Big Data: volume, velocity, variety, and veracity! par sarah ayyad 1 What does 'volume' refer to in Big Data? a The diversity of data types. b The speed of data processing. c The accuracy of data. d The amount of data generated. 2 Which 'V' of Big Data describes the speed at which data is generated? a Variety. b Velocity. c Veracity. d Volume. 3 What does 'variety' in Big Data signify? a The different types of data available. b The amount of data. c The reliability of data. d The speed of data transfer. 4 What is meant by 'veracity' in the context of Big Data? a The speed of data processing. b The variety of data types. c The volume of data. d The trustworthiness and accuracy of data. 5 Which of the following is NOT one of the 4 Vs of Big Data? a Velocity. b Variety. c Value. d Volume. 6 How does 'velocity' impact data analysis? a It requires real-time processing capabilities. b It reduces data accuracy. c It limits data types. d It increases data storage needs. 7 Why is 'variety' important in Big Data? a It simplifies data storage. b It speeds up data processing. c It allows for richer insights from different data sources. d It ensures data accuracy. 8 Which aspect of Big Data focuses on the reliability of data sources? a Veracity. b Variety. c Velocity. d Volume. 9 What challenge does 'volume' present in Big Data? a Processing data quickly. b Managing and storing large amounts of data. c Ensuring data accuracy. d Integrating different data types. 10 In Big Data, which 'V' is crucial for making timely decisions? a Veracity. b Velocity. c Volume. d Variety.
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