Exam 12: Managing Big Data and Knowledge

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Some Internet of Things-related services are automated, but many others are not.

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False

A person's digital footprint refers to

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B

Infographics and user-friendly graphs and charts are features of the big data analysis technique known as data visualisation.

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Knowledge gained from past cases should not be difficult to transfer to the current situation.

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Knowledge resides in and is generated by people. Therefore, knowledge management

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After-action review is defined as a systematic process to extract the learning from an event or activity.

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The organisation allows individuals to apply knowledge-management practices to themselves, their role in the organisation and their career development.

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While big data analysis provides insights to customer-focused organisations, it has not yet proven to be useful in other areas of society.

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An organisation provides knowledge workers with opportunities to engage in problem solving and decision making by

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The purpose of data visualisation is to access, examine and integrate large amounts of historical data from multiple data sources.

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The three critical success factors in knowledge-management programs are

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The process of thinking in a logical way based on proof in order to form a conclusion or judgment is known as

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The difference between tacit knowledge and explicit knowledge is

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What are the two factors that are important for the successful implementation of the knowledge-management process?

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The life cycle of big data is the sequence of stages that a particular unit of data goes through.

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Artificial intelligence programs that simulate interactive human conversation are known as

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Knowledge management is the process through which organisations generate value by gathering, organising and sharing their intellectual and knowledge-based assets.

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It is often believed that tacit knowledge is more valuable than explicit knowledge.

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The purpose of knowledge management in a business is to

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Arnold is a software developer for a popular social networking company. He is monitoring how many unique posts users generate per minute. Considering the five Vs of big data, which is Arnold most concerned with during this exercise?

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