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Welcome to the Architectural Components MCQs Page

Dive deep into the fascinating world of Architectural Components with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Architectural Components, a crucial aspect of Data Warehousing and OLAP. In this section, you will encounter a diverse range of MCQs that cover various aspects of Architectural Components, 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 Architectural Components. 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 Architectural Components. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Architectural Components MCQs | Page 7 of 9

Explore more Topics under Data Warehousing and OLAP

Q61.
What might an executive information system (EIS) be used for in a data warehouse?

a.

Data extraction from source systems

b.

Printing physical reports

c.

Downstream decision support applications

d.

Data cleansing and transformation

Discuss
Answer: (c).Downstream decision support applications Explanation:An executive information system (EIS) in a data warehouse can be used for downstream decision support applications.
Q62.
What is one of the functions related to the information delivery component of a data warehouse architecture?

a.

Data extraction from source systems

b.

Data transformation and cleansing

c.

Allowing users to browse data warehouse content

d.

Resolving inconsistencies in data

Discuss
Answer: (c).Allowing users to browse data warehouse content Explanation:Allowing users to browse data warehouse content is one of the functions related to the information delivery component of a data warehouse architecture.
Q63.
What is the purpose of enabling queries to be aware of aggregate tables in a data warehouse?

a.

To govern and control runaway queries

b.

To provide self-service report generation for users

c.

To simplify access by hiding internal complexities of data storage

d.

To speed up query execution with faster results

Discuss
Answer: (d).To speed up query execution with faster results Explanation:Enabling queries to be aware of aggregate tables in a data warehouse is done to speed up query execution by providing faster results.
Q64.
What does OLAP stand for in the context of data warehouse information delivery?

a.

Overly Large Archive of Pictures

b.

Online and Local Analysis Procedure

c.

Online Analytical Processing

d.

Optimized Load and Performance

Discuss
Answer: (c).Online Analytical Processing Explanation:OLAP stands for Online Analytical Processing in the context of data warehouse information delivery.
Q65.
What is one of the functions related to the management and control component in a data warehouse architecture?

a.

Providing multiple levels of data granularity

b.

Monitoring user access to improve service and for future enhancements

c.

Allowing users to browse data warehouse content

d.

Resolving inconsistencies in data

Discuss
Answer: (b).Monitoring user access to improve service and for future enhancements Explanation:Monitoring user access to improve service and for future enhancements is one of the functions related to the management and control component in a data warehouse architecture.
Q66.
In the "Centralized Corporate Data Warehouse" architecture type, where does all the information delivery come from?

a.

Dependent Data Marts

b.

Independent Data Marts

c.

Centralized Data Warehouse

d.

Source Systems

Discuss
Answer: (c).Centralized Data Warehouse Explanation:In the "Centralized Corporate Data Warehouse" architecture type, all information delivery comes from the Centralized Data Warehouse.
Q67.
In the "Independent Data Marts" architecture type, how are data marts typically connected in such organizations?

a.

They are connected with a centralized data repository.

b.

They are connected with a distributed network.

c.

They are unconnected and disparate.

d.

They are connected through a cloud-based system.

Discuss
Answer: (c).They are unconnected and disparate. Explanation:In the "Independent Data Marts" architecture type, data marts are typically unconnected and disparate, each serving specific departments or purposes.
Q68.
What is the primary characteristic of the "Dependent Data Marts" architecture type?

a.

Each data mart serves a specific department or purpose.

b.

Data marts evolve over time without overall planning.

c.

Data marts are disconnected from source systems.

d.

Data marts are not used for information delivery.

Discuss
Answer: (a).Each data mart serves a specific department or purpose. Explanation:The primary characteristic of the "Dependent Data Marts" architecture type is that each data mart serves a specific department or purpose.
Q69.
In the "Hub-and-Spoke Data Warehouse" architecture type, how are data marts connected to the centralized data warehouse?

a.

Each data mart is connected directly to the centralized data warehouse.

b.

Each data mart is connected through a separate central hub.

c.

Data marts are not connected to the centralized data warehouse.

d.

Data marts are connected through a cloud-based system.

Discuss
Answer: (b).Each data mart is connected through a separate central hub. Explanation:In the "Hub-and-Spoke Data Warehouse" architecture type, each data mart is connected through a separate central hub to the centralized data warehouse.
Q70.
What is the central hub in the "Hub-and-Spoke Data Warehouse" architecture type?

a.

A highly specialized data mart

b.

The centralized data warehouse

c.

A cloud-based system

d.

An independent data mart

Discuss
Answer: (b).The centralized data warehouse Explanation:In the "Hub-and-Spoke Data Warehouse" architecture type, the central hub is the centralized data warehouse that connects to individual data marts.
Page 7 of 9

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