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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 11 of 13

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Q101.
What task can be assigned to local groups of participants in a distributed data Webhouse environment?

a.

Query optimization

b.

Fact table creation

c.

Conforming dimensions and facts

d.

Data distribution

Discuss
Answer: (c).Conforming dimensions and facts Explanation:In a distributed data Webhouse environment, the task of conforming dimensions and facts can be assigned to local groups of participants.
Q102.
How can all units in a data Webhouse become aware of the complete set of definitions for dimensions and facts?

a.

Centralized documentation

b.

Local publications

c.

Physical centralization

d.

Publishing on the Web

Discuss
Answer: (d).Publishing on the Web Explanation:All units in a data Webhouse can become aware of the complete set of definitions for dimensions and facts by publishing them on the Web.
Q103.
How are conformed dimension tables and conformed fact tables often implemented in a data Webhouse?

a.

They are always physically duplicated.

b.

They are centralized in a single location.

c.

Dimension tables are often physically duplicated, while fact tables are rarely duplicated.

d.

Both dimension and fact tables are always physically centralized.

Discuss
Answer: (c).Dimension tables are often physically duplicated, while fact tables are rarely duplicated. Explanation:In a data Webhouse, dimension tables are often physically duplicated, while fact tables are rarely duplicated.
Q104.
In a distributed data Webhouse, how can the query tool or report writer make the distributed collection work as a cohesive whole?

a.

By centralizing all dimensions and facts

b.

By executing a multi-pass sort-merge

c.

By retrieving result sets from a single provider

d.

By conjoining fact tables without considering dimensions

Discuss
Answer: (b).By executing a multi-pass sort-merge Explanation:In a distributed data Webhouse, the query tool or report writer can make the distributed collection work as a cohesive whole by executing a single-pass sort-merge.
Q105.
What is essential for the query tool to do in a distributed data Webhouse configuration?

a.

Centralizing dimensions

b.

Sorting fact tables

c.

Combining result sets using a multi-pass sort-merge

d.

Retrieving result sets from a single provider

Discuss
Answer: (c).Combining result sets using a multi-pass sort-merge Explanation:In a distributed data Webhouse configuration, the query tool must combine result sets using a multi-pass sort-merge to make the distributed collection work cohesively.
Q106.
Why is true thin-client technology like Java likely to provide a zero-administration client setup in a data Webhouse?

a.

It eliminates the need for client machines.

b.

It requires minimal client-side configuration and maintenance.

c.

It relies on centralized administration.

d.

It supports distributed computing.

Discuss
Answer: (b).It requires minimal client-side configuration and maintenance. Explanation:True thin-client technology like Java is likely to provide a zero-administration client setup in a data Webhouse because it requires minimal client-side configuration and maintenance.
Q107.
What is the expectation regarding the client technology in a data Webhouse?

a.

Sole reliance on full clients

b.

Use of thick clients only

c.

A combination of thin clients and full clients

d.

Exclusively thin clients

Discuss
Answer: (c).A combination of thin clients and full clients Explanation:In a data Webhouse, the expectation regarding the client technology is a combination of thin clients and full clients.
Q108.
What role does the HTTP server play in many Web applications, and why might it be a point of congestion?

a.

It handles metadata integration, leading to congestion.

b.

It supports database queries, causing congestion.

c.

It serves as a point of data distribution.

d.

It may become a point of congestion as all data from a session is fed to the browser through this server.

Discuss
Answer: (d).It may become a point of congestion as all data from a session is fed to the browser through this server. Explanation:In many Web applications, the HTTP server may become a point of congestion as all data from a session is fed to the browser through this server.
Q109.
What is a recommendation for handling complex analysis in a data Webhouse?

a.

Use HTML exclusively.

b.

Rely on plug-ins for all analysis.

c.

Use Java or plug-ins for complex ad hoc analysis and reserve HTML for simpler tasks.

d.

Avoid complex analysis in a Web-enabled environment.

Discuss
Answer: (c).Use Java or plug-ins for complex ad hoc analysis and reserve HTML for simpler tasks. Explanation:A recommendation for handling complex analysis in a data Webhouse is to use Java or plug-ins for complex ad hoc analysis and reserve HTML for simpler tasks.
Q110.
What sets apart the architecture of Web-enabled data warehousing from traditional two-tier or three-tier client/server architectures?

a.

Reduced complexity

b.

Additional tiers, including a Web server

c.

Elimination of firewalls

d.

Exclusion of browser clients

Discuss
Answer: (b).Additional tiers, including a Web server Explanation:The architecture for Web-enabled data warehousing is more complex than traditional architectures, requiring additional tiers such as a Web server to facilitate communication between browser clients and the database.
Page 11 of 13

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