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Welcome to the Data Warehousing and the Web MCQs Page

Dive deep into the fascinating world of Data Warehousing and the Web with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Data Warehousing and the Web, a crucial aspect of Data Warehousing and OLAP. In this section, you will encounter a diverse range of MCQs that cover various aspects of Data Warehousing and the Web, 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 Data Warehousing and OLAP.

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Check out the MCQs below to embark on an enriching journey through Data Warehousing and the Web. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Data Warehousing and OLAP.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Data Warehousing and the Web. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Data Warehousing and the Web MCQs | Page 7 of 13

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Q61.
What serious issues arise when opening a Web-enabled data warehouse to users throughout the enterprise and business partners?
Discuss
Answer: (b).Security issues Explanation:Opening a Web-enabled data warehouse raises serious security issues when providing access to users throughout the enterprise and business partners.
Q62.
What is a consideration at the network level to enhance security in a Web-enabled data warehouse?
Discuss
Answer: (b).Implementing data encryption and restricted transfer mechanisms Explanation:At the network level, security can be enhanced by implementing data encryption and restricted transfer mechanisms.
Q63.
What aspect of security management is crucial at the application level for a Web-enabled data warehouse?
Discuss
Answer: (c).Managing authorizations for access Explanation:At the application level, security management involves managing authorizations for access, determining who is allowed to access the application and what each user can access.
Q64.
What is a potential threat to the security of a Web-enabled data warehouse?
Discuss
Answer: (b).Information terrorist Explanation:An information terrorist, a disloyal or undependable employee with authorization to access secured information, is a potential threat to the security of the warehouse.
Discuss
Answer: (d).Authorization to access secured information Explanation:Plugging the security hole related to information terrorists is difficult due to the challenge of addressing the aspect of security related to authorization to access secured information.
Q66.
What is the goal of building data warehouses in terms of business intelligence?
Discuss
Answer: (c).Obtaining lasting value for strategic decisions Explanation:The goal of building data warehouses is to obtain lasting value for strategic decisions through business intelligence.
Discuss
Answer: (b).Limited to a small group of interested analysts Explanation:Early data warehouses started as small-scale decision support systems for a limited group of interested analysts.
Q68.
What was a limitation of second-generation decision support systems running on client/server architecture?
Discuss
Answer: (d).High deployment and maintenance costs Explanation:Second-generation decision support systems had limitations due to high deployment and maintenance costs, preventing extension to a larger number of users.
Q69.
What impact has the Web had on information delivery in Web-enabled data warehouses?
Discuss
Answer: (c).Dramatically different slant Explanation:The Web has put a dramatically different slant on information delivery in Web-enabled data warehouses, opening doors to a large group of users both within and outside the enterprise.
Discuss
Answer: (b).Can OLAP systems scale up to support a large number of concurrent users? Explanation:The question that arises regarding OLAP systems in a Web-enabled data warehouse is whether they can scale up to support a large number of concurrent users performing complex queries and intensive calculations.

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