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Welcome to the Infrastructure as the Foundation for Data Warehousing MCQs Page

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

Infrastructure as the Foundation for Data Warehousing MCQs | Page 5 of 13

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Q41.
What advantage can be gained by keeping the data staging area on the Data Storage Platform in a data warehouse?

a.

Reduction of data transformation complexity

b.

Elimination of the need for a data staging area

c.

Faster data extraction from source systems

d.

Direct application of load images to the database

Discuss
Answer: (d).Direct application of load images to the database Explanation:Keeping the data staging area on the Data Storage Platform allows for the direct application of load images to the database, reducing intermediary steps.
Q42.
Why might a separate platform for data staging be advantageous in a data warehouse?

a.

It simplifies data transformations and cleansing.

b.

It eliminates the need for tracking entries.

c.

It optimizes data extraction from source systems.

d.

It allows for specialized tools and dedicated personnel for data preparation.

Discuss
Answer: (d).It allows for specialized tools and dedicated personnel for data preparation. Explanation:A separate platform for data staging allows for specialized tools and dedicated personnel to optimize data preparation, transformation, and cleansing.
Q43.
What is the shared disk method used for in data movement between computing platforms?

a.

Real-time connection

b.

Mass data transmission

c.

Manual methods

d.

All of the above

Discuss
Answer: (c).Manual methods Explanation:The shared disk method is used for data movement between computing platforms in a data warehouse.
Q44.
Which option for data movement involves establishing a real-time connection between two platforms for program interactions?

a.

Shared Disk

b.

Mass Data Transmission

c.

Real-Time Connection

d.

Manual Methods

Discuss
Answer: (c).Real-Time Connection Explanation:Real-time connection involves establishing a real-time connection between two platforms for program interactions in data movement.
Q45.
What is the purpose of mass data transmission in data movement across computing platforms?

a.

Enabling massive data transfers through data ports

b.

Sharing data on a common disk

c.

Real-time interactions between platforms

d.

Simplified data storage

Discuss
Answer: (a).Enabling massive data transfers through data ports Explanation:Mass data transmission is used to enable massive data transfers through data ports when moving data across computing platforms.
Q46.
What is the significance of real-time connection in data movement between computing platforms?

a.

It provides a simple and manual method of data transfer.

b.

It facilitates data sharing on a common disk.

c.

It enables near real-time interactions between platforms.

d.

It reduces the need for external storage devices.

Discuss
Answer: (c).It enables near real-time interactions between platforms. Explanation:Real-time connection allows for near real-time interactions between platforms in data movement, which is crucial for certain types of data warehouses.
Q47.
When might manual methods be used for data movement in a data warehouse?

a.

As the primary method for real-time data transfer

b.

As a last resort when other options are not feasible

c.

To establish a shared disk for data storage

d.

For mass data transmission through data ports

Discuss
Answer: (b).As a last resort when other options are not feasible Explanation:Manual methods are typically used as a last resort for data movement when other options are not feasible.
Q48.
In contemporary data warehouse implementations, which architecture is predominantly used?

a.

Mainframe architecture

b.

Minicomputer architecture

c.

Client/server architecture

d.

Legacy architecture

Discuss
Answer: (c).Client/server architecture Explanation:Client/server architecture is predominantly used in modern data warehouse implementations.
Q49.
In a typical client/server architecture for a data warehouse, where does the data warehouse DBMS execute?

a.

On the application server

b.

On the client workstations

c.

On the data server component

d.

On the data repository

Discuss
Answer: (c).On the data server component Explanation:The data warehouse DBMS executes on the data server component in a typical client/server architecture for a data warehouse.
Q50.
What is the role of application servers in the middle tier of a client/server architecture for data warehouses?

a.

To execute management and control software

b.

To handle data access from the Web

c.

To manage metadata

d.

All of the above

Discuss
Answer: (d).All of the above Explanation:Application servers in the middle tier of a client/server architecture for data warehouses serve various purposes, including executing management and control software, handling data access from the Web, managing metadata, and more.
Page 5 of 13

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