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Welcome to the Big Textual Data Analytics and Knowledge Management MCQs Page

Dive deep into the fascinating world of Big Textual Data Analytics and Knowledge Management with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Big Textual Data Analytics and Knowledge Management, a crucial aspect of Big Data Computing. In this section, you will encounter a diverse range of MCQs that cover various aspects of Big Textual Data Analytics and Knowledge Management, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Big Data Computing.

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Check out the MCQs below to embark on an enriching journey through Big Textual Data Analytics and Knowledge Management. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Big Data Computing.

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Big Textual Data Analytics and Knowledge Management MCQs | Page 10 of 11

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Q91.
What are the two essential phases in the knowledge life cycles according to Firestone's approach to knowledge management?

a.

Knowledge generation and knowledge assessment

b.

Knowledge generation and knowledge dissemination

c.

Knowledge production and knowledge verification

d.

Knowledge utilization and knowledge storage

Discuss
Answer: (b).Knowledge generation and knowledge dissemination Explanation:According to Firestone's approach, the two essential phases in the knowledge life cycles are knowledge generation and knowledge dissemination.
Q92.
What activities are part of knowledge production?

a.

Codified knowledge claims and knowledge integration

b.

Broadcasting, searching, teaching, and knowledge sharing

c.

Information acquisition and learning

d.

Knowledge utilization and hypothesis confirmation

Discuss
Answer: (c).Information acquisition and learning Explanation:Knowledge production activities include information acquisition (integrating information from various sources) and learning (generating and testing hypotheses relevant to the problem to be solved).
Q93.
What is the key task of knowledge production in the overall knowledge life cycle?

a.

Broadcasting knowledge claims

b.

Generating hypotheses

c.

Producing codified knowledge claims

d.

Codifying knowledge assets

Discuss
Answer: (c).Producing codified knowledge claims Explanation:The key task of knowledge production in the overall knowledge life cycle is producing codified knowledge claims.
Q94.
What does it mean when a validated knowledge claim is adopted?

a.

It is rejected.

b.

It is confirmed as a hypothesis.

c.

It becomes a knowledge asset.

d.

It is shared with a community of practice.

Discuss
Answer: (c).It becomes a knowledge asset. Explanation:When a validated knowledge claim is adopted, it means that the knowledge produced becomes a knowledge asset or part of the organization's intellectual capital.
Q95.
What processes are part of knowledge integration in Firestone's approach?

a.

Broadcasting and searching

b.

Searching and knowledge sharing

c.

Teaching and knowledge dissemination

d.

Retrieving and information capture

Discuss
Answer: (b).Searching and knowledge sharing Explanation:Knowledge integration processes in Firestone's approach include searching and knowledge sharing.
Q96.
In a business context, how can unstructured information processing contribute to the knowledge production phase of the knowledge life cycle?

a.

By supporting the adoption of knowledge claims

b.

By enhancing knowledge sharing within organizations

c.

By aiding in information extraction on the relational level

d.

By facilitating knowledge integration processes

Discuss
Answer: (c).By aiding in information extraction on the relational level Explanation:Unstructured information processing can contribute to the knowledge production phase by aiding in information extraction on the relational level, helping to formulate meaningful sentences and gathering evidence for or against hypotheses.
Q97.
What does content syndication offer in terms of knowledge integration processes?

a.

Enhanced searching and retrieving capabilities

b.

Support for knowledge sharing within communities

c.

Dynamic reorganization of textual material

d.

Broadcasting of knowledge claims

Discuss
Answer: (c).Dynamic reorganization of textual material Explanation:Content syndication in knowledge integration processes offers dynamic reorganization of textual material with respect to the needs of specific interests and user communities.
Q98.
How can text clustering contribute to the knowledge production phase?

a.

By directly validating knowledge claims

b.

By summarizing knowledge assets

c.

By identifying topics of interest and proximity relationships

d.

By enhancing broadcasting and knowledge sharing

Discuss
Answer: (c).By identifying topics of interest and proximity relationships Explanation:Text clustering can contribute to the knowledge production phase by identifying topics of interest and estimating their proximity and interrelationships, helping to formulate specific hypotheses relevant to the knowledge life cycle.
Q99.
What advantage does unstructured information processing provide in knowledge integration for teaching?

a.

Increased reliability of knowledge sharing

b.

Monitoring and control over knowledge transfer

c.

Dynamic reorganization of textual material

d.

Improved content syndication capabilities

Discuss
Answer: (b).Monitoring and control over knowledge transfer Explanation:Unstructured information processing can offer monitoring and control over knowledge transfer, making it more effective for teaching purposes.
Q100.
How can unstructured information processing enhance knowledge dissemination?

a.

By creating new knowledge claims

b.

By enabling better searching and retrieving processes

c.

By facilitating knowledge sharing within communities

d.

By providing dynamic reorganization of textual material

Discuss
Answer: (b).By enabling better searching and retrieving processes Explanation:Unstructured information processing can enhance knowledge dissemination by enabling better searching and retrieving processes, allowing more comprehensive sets of knowledge resources to be integrated.
Page 10 of 11

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