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Welcome to the Growth and Maintenance MCQs Page

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

Growth and Maintenance MCQs | Page 4 of 5

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Q31.
What are the two principal functions of data warehouse management after the deployment of the initial version?

a.

Design and construction

b.

Maintenance management and change management

c.

Testing and user acceptance

d.

Deployment and enhancement

Discuss
Answer: (b).Maintenance management and change management Explanation:After the deployment of the initial version, data warehouse management focuses on maintenance management and change management.
Q32.
What is the primary focus of maintenance management in data warehouse administration?

a.

Initial deployment

b.

Performance monitoring and fine-tuning

c.

User acceptance testing

d.

Data warehouse design

Discuss
Answer: (b).Performance monitoring and fine-tuning Explanation:The primary focus of maintenance management in data warehouse administration is performance monitoring and fine-tuning to ensure optimal functioning.
Q33.
What is one of the areas covered in post-deployment administration of a data warehouse?

a.

Design and construction

b.

User acceptance testing

c.

Performance monitoring and fine-tuning

d.

Initial deployment planning

Discuss
Answer: (c).Performance monitoring and fine-tuning Explanation:Performance monitoring and fine-tuning is one of the areas covered in post-deployment administration of a data warehouse.
Q34.
Why is proper planning essential for applying new releases of platform components in a data warehouse environment?

a.

To resist initiatives from vendors

b.

To minimize disruption to normal work

c.

To delay upgrades indefinitely

d.

To discourage users from seeking support

Discuss
Answer: (b).To minimize disruption to normal work Explanation:Proper planning is essential for applying new releases of platform components to minimize disruption to normal work in a data warehouse environment.
Q35.
What does platform upgrades encompass in a data warehouse deployment?

a.

Only database components

b.

Only computer hardware

c.

All infrastructure components, including hardware, operating systems, databases, GUIs, and application support software

d.

Only end-user information delivery components

Discuss
Answer: (c).All infrastructure components, including hardware, operating systems, databases, GUIs, and application support software Explanation:Platform upgrades in a data warehouse deployment encompass all infrastructure components, including hardware, operating systems, databases, GUIs, and application support software.
Q36.
Why is managing data growth crucial in a data warehouse?

a.

To increase historical data

b.

To maintain consistency with operational systems

c.

To prevent substantial additional data volume

d.

To encourage analysts to create more summaries

Discuss
Answer: (c).To prevent substantial additional data volume Explanation:Managing data growth in a data warehouse is crucial to prevent substantial additional data volume, especially considering the already large volumes of data.
Q37.
What is one reason for restricting unnecessary drill-down functions in a data warehouse?

a.

To increase historical data

b.

To eliminate summary tables

c.

To decrease data volume

d.

To archive old data

Discuss
Answer: (c).To decrease data volume Explanation:Restricting unnecessary drill-down functions in a data warehouse helps decrease data volume.
Q38.
How can you effectively manage storage in a data warehouse?

a.

Increase historical data

b.

Use modular storage systems

c.

Discourage analysts from creating summaries

d.

Eliminate drill-down functions

Discuss
Answer: (b).Use modular storage systems Explanation:Using modular storage systems is one effective way to manage storage in a data warehouse.
Q39.
Why are storage costs in a data warehouse considered significant?

a.

Storage costs are minimal in a data warehouse.

b.

Storage costs are a substantial percentage of overall costs.

c.

Storage costs are irrelevant in data warehousing.

d.

Storage costs do not contribute to the total cost.

Discuss
Answer: (b).Storage costs are a substantial percentage of overall costs. Explanation:Storage costs are considered significant in a data warehouse as they are a substantial percentage of overall costs.
Q40.
What is a consideration for storage management to minimize access bottlenecks?

a.

Eliminate storage diagnostics

b.

Use distributed environments with individual storage pools

c.

Prevent the addition of storage capacity

d.

Spread data over multiple volumes

Discuss
Answer: (d).Spread data over multiple volumes Explanation:To minimize access bottlenecks in storage management, consider spreading data over multiple volumes.
Page 4 of 5

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