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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 4 of 13

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Q31.
What is the main challenge when trying to implement a single-platform solution for data warehousing in corporations with multiple legacy platforms?

a.

Lack of vendor support

b.

Incompatibility of data warehousing tools

c.

High cost of hardware and software

d.

Resistance from employees

Discuss
Answer: (b).Incompatibility of data warehousing tools Explanation:The main challenge in implementing a single-platform solution for data warehousing in corporations with multiple legacy platforms is the incompatibility of data warehousing tools.
Q32.
What do most corporations follow in terms of the path of computing platforms?

a.

Direct transition from mainframes to client/server architecture

b.

Simultaneous use of mainframes, minicomputers, and PCs

c.

Mainframes to minicomputers, then to PCs

d.

Transition from minicomputers to cloud-based systems

Discuss
Answer: (c).Mainframes to minicomputers, then to PCs Explanation:Most corporations follow the path of transitioning from mainframes to minicomputers and then to PCs.
Q33.
What is the conclusion that most companies come to after examining legacy systems and modern applications in their corporations?

a.

A single-platform solution is always feasible.

b.

A hybrid option is not worth considering.

c.

A single-platform approach is the only option.

d.

A single-platform solution is not workable for the data warehouse.

Discuss
Answer: (d).A single-platform solution is not workable for the data warehouse. Explanation:The conclusion that most companies come to after examining legacy systems and modern applications is that a single-platform solution is not workable for the data warehouse.
Q34.
Where is it best to perform the data extraction function in a data warehouse?

a.

On the mainframe platform

b.

On the platform of the source system

c.

On the platform where the staging area resides

d.

On a separate data extraction platform

Discuss
Answer: (b).On the platform of the source system Explanation:Data extraction is best performed from each source system on its own computing platform.
Q35.
In which step is the data from all sources reconciled and consolidated in some data warehouses?

a.

Initial Reformatting and Merging

b.

Preliminary Data Cleansing

c.

Transformation and Consolidation

d.

Validation and Final Quality Check

Discuss
Answer: (c).Transformation and Consolidation Explanation:In some data warehouses, data reconciliation and consolidation happen in the Transformation and Consolidation step.
Q36.
Where is the best place to perform the Transformation and Consolidation step in data acquisition?

a.

On the source platform

b.

On the mainframe

c.

In the staging area

d.

On a separate transformation platform

Discuss
Answer: (c).In the staging area Explanation:The Transformation and Consolidation step is best performed in the staging area, on the platform where the staging area resides.
Q37.
Where is the Validation and Final Quality Check step usually performed in data acquisition?

a.

On the mainframe

b.

On the platform of the source system

c.

In the staging area

d.

On a separate validation platform

Discuss
Answer: (c).In the staging area Explanation:The Validation and Final Quality Check step usually occurs in the staging area.
Q38.
Which step creates load images for the database files of the data warehouse repository?

a.

Data Extraction

b.

Initial Reformatting and Merging

c.

Transformation and Consolidation

d.

Creation of Load Images

Discuss
Answer: (d).Creation of Load Images Explanation:The step that creates load images for the data warehouse repository typically happens in the Creation of Load Images step.
Q39.
What is the ideal platform for the staging area in a data warehouse?

a.

Mainframe

b.

Data Storage Platform

c.

Legacy Platform

d.

A Separate Optimal Platform

Discuss
Answer: (d).A Separate Optimal Platform Explanation:The ideal platform for the staging area can be a separate optimal platform, especially when complex data transformations and data cleansing are required.
Q40.
If most of your legacy data sources are on the same platform with extra capacity, where should you consider keeping your data staging area?

a.

On a Separate Optimal Platform

b.

On the Data Storage Platform

c.

In One of the Legacy Platforms

d.

On a dedicated cloud server

Discuss
Answer: (c).In One of the Legacy Platforms Explanation:If most of your legacy data sources are on the same platform and extra capacity is available, consider keeping your data staging area in that legacy platform.
Page 4 of 13

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