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Welcome to the Data Warehouse Deployment MCQs Page

Dive deep into the fascinating world of Data Warehouse Deployment with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Data Warehouse Deployment, 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 Warehouse Deployment, 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 Warehouse Deployment. 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 Warehouse Deployment. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Data Warehouse Deployment MCQs | Page 3 of 9

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Q21.
Why is initial user support crucial in the early days of post-deployment for a data warehouse?

a.

To avoid user questions

b.

To focus on complex drill-down analysis

c.

Users need handholding for various queries

d.

To ignore hardware-related issues

Discuss
Answer: (c).Users need handholding for various queries Explanation:Initial user support is crucial in the early days of post-deployment because users may have a wide range of questions, and they need extensive handholding for tasks ranging from basic sign-on to performing complex drill-down analysis.
Q22.
Who is the first point of contact for users in each department during the initial user support?

a.

Technical support group

b.

Hotline support

c.

User representative

d.

End-users

Discuss
Answer: (c).User representative Explanation:The user representative in each department is the first point of contact for users during the initial user support.
Q23.
What is suggested as an effective method for deploying a data warehouse?

a.

Rapid deployment without any staging

b.

Deploying the entire data warehouse at once

c.

Deploying in well-defined stages

d.

Deploying only departmental data marts

Discuss
Answer: (c).Deploying in well-defined stages Explanation:Staging the deployment in well-defined stages is suggested as an effective method for deploying a data warehouse.
Q24.
In the top-down approach, what is the focus during the initial stages of deployment?

a.

Deploying data marts

b.

Building departmental data marts

c.

Building the overall enterprise-wide data warehouse

d.

Merging data marts together

Discuss
Answer: (c).Building the overall enterprise-wide data warehouse Explanation:In the top-down approach, the focus during the initial stages of deployment is on building the overall enterprise-wide data warehouse.
Q25.
What is the key to the success of the practical approach in data warehouse deployment?

a.

Rapid deployment without conforming dimensions

b.

Structured and refined bottom-up approach

c.

Building a group of data marts without conformity

d.

Conforming dimensions to preserve cohesion

Discuss
Answer: (d).Conforming dimensions to preserve cohesion Explanation:The key to the success of the practical approach in data warehouse deployment is conforming dimensions to preserve cohesion among the data marts that comprise the enterprise data warehouse.
Q26.
What is the primary purpose of deploying a pilot system before the full deployment of a data warehouse?

a.

To substitute the first full-fledged data mart

b.

To gain broad experience and specific experience with new technologies

c.

To test the users' knowledge of the data warehousing concept

d.

To throw away the pilot project after completion

Discuss
Answer: (b).To gain broad experience and specific experience with new technologies Explanation:The primary purpose of deploying a pilot system before the full deployment of a data warehouse is to gain broad experience, gain specific experience with new technologies, and demonstrate proof-of-concept to users.
Q27.
Under what conditions is a pilot deployment of a data warehouse useful?

a.

When the user community consists of seasoned veterans

b.

When the analysts are highly sophisticated

c.

When a failure is acceptable

d.

When the user community is new to the data warehousing concept

Discuss
Answer: (d).When the user community is new to the data warehousing concept Explanation:A pilot deployment of a data warehouse is useful under conditions where the user community is new to the data warehousing concept.
Q28.
What is NOT a condition indicating the usefulness of a pilot deployment?

a.

The users need to gain experience with new tools and technologies

b.

The analysts need to perceive the strengths of analytical features

c.

The IT designers and architects are already experienced in dimensional modeling

d.

The project team wants to confirm the working of new infrastructure components

Discuss
Answer: (c).The IT designers and architects are already experienced in dimensional modeling Explanation:The condition indicating the usefulness of a pilot deployment is not that the IT designers and architects are already experienced in dimensional modeling.
Q29.
Why might a pilot deployment be unnecessary in some cases?

a.

Users are familiar with the data warehousing concept

b.

Analysts do not need to perceive analytical strengths

c.

The project team does not want to confirm the working of new infrastructure components

d.

The IT team is comprised of seasoned veterans

Discuss
Answer: (d).The IT team is comprised of seasoned veterans Explanation:A pilot deployment might be unnecessary in some cases if the IT team is comprised of seasoned veterans and the users are familiar with the data warehousing concept.
Q30.
What is the primary goal of a Proof-of-Concept Pilot for a data warehouse?

a.

To test and prove a dimensional modeling tool

b.

To justify the concept to sponsors and senior executives

c.

To gain experience with new technologies and tools

d.

To work with a smaller database and verify data flow

Discuss
Answer: (b).To justify the concept to sponsors and senior executives Explanation:The primary goal of a Proof-of-Concept Pilot for a data warehouse is to justify the concept to sponsors and senior executives for funding the full data warehouse.
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