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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 3 of 13

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Q21.
In a data warehouse environment, why is memory protection a crucial feature for the operating system?

a.

To support parallel processing

b.

To protect the environment from application malfunctions

c.

To ensure the availability of the computing environment

d.

To prevent one task from violating the memory space of another

Discuss
Answer: (d).To prevent one task from violating the memory space of another Explanation:Memory protection in an operating system for a data warehouse prevents one task from violating the memory space of another, which is crucial when multiple queries are executing concurrently.
Q22.
Which of the following is NOT a common option for hardware and operating systems in a data warehouse environment?

a.

Mainframes

b.

Open System Servers

c.

NT Servers

d.

Leftover hardware from legacy applications

Discuss
Answer: (d).Leftover hardware from legacy applications Explanation:Leftover hardware from legacy applications is not a common option for hardware and operating systems in a data warehouse environment.
Q23.
What is the primary reason for mainframes being rarely used for data warehousing?

a.

Cost-effectiveness

b.

Compatibility with OLTP

c.

Scalability

d.

Robustness

Discuss
Answer: (b).Compatibility with OLTP Explanation:Mainframes are primarily designed for OLTP and not for decision support applications, which is why they are rarely used for data warehousing.
Q24.
Which option is generally robust and adapted for parallel processing, making it a common choice for data warehouses?

a.

NT Servers

b.

Mainframes

c.

Open System Servers (UNIX servers)

d.

Leftover hardware from legacy applications

Discuss
Answer: (c).Open System Servers (UNIX servers) Explanation:Open System Servers (UNIX servers) are generally robust and adapted for parallel processing, making them a common choice for data warehouses.
Q25.
What does a computing platform typically consist of?

a.

Only hardware components

b.

Hardware components and the operating system

c.

Hardware components, operating system, and network software

d.

Only network software

Discuss
Answer: (c).Hardware components, operating system, and network software Explanation:A computing platform consists of hardware components, the operating system, and network software.
Q26.
In the single platform option for data warehousing, where are all functions from data extraction to query processing performed?

a.

On a single computing platform

b.

On different computing platforms

c.

On the client workstations

d.

On separate network servers

Discuss
Answer: (a).On a single computing platform Explanation:In the single platform option for data warehousing, all functions from data extraction to query processing are performed on a single computing platform.
Q27.
What is a benefit of the single platform option for data warehousing?

a.

Compatibility and interface problems

b.

Data flows with platform-to-platform conversions

c.

The need for middleware

d.

Smooth data flow without platform-to-platform conversions

Discuss
Answer: (d).Smooth data flow without platform-to-platform conversions Explanation:The single platform option for data warehousing provides a smooth data flow from beginning to end without platform-to-platform conversions.
Q28.
In the context of the single platform option for data warehousing, what type of legacy systems are often used?

a.

Mainframes and minicomputers

b.

UNIX-based servers only

c.

Client/server environments

d.

ERP systems

Discuss
Answer: (a).Mainframes and minicomputers Explanation:In the single platform option for data warehousing, legacy systems often include mainframes and minicomputers, among others.
Q29.
Why do many companies not adopt the single-platform option for data warehousing?

a.

Lack of understanding about the benefits

b.

Legacy platform already fully stretched to capacity

c.

High cost associated with a single platform

d.

Unavailability of data warehousing vendors

Discuss
Answer: (b).Legacy platform already fully stretched to capacity Explanation:One of the reasons many companies do not adopt the single-platform option is that their existing legacy computing environment may already be fully stretched to capacity.
Q30.
What is a critical consideration for adopting the single-platform solution for data warehousing?

a.

The number of data warehouse vendors available

b.

The availability of low-cost solutions

c.

The presence of legacy mainframe or minicomputer platforms

d.

The corporate migration policy regarding computing platforms

Discuss
Answer: (d).The corporate migration policy regarding computing platforms Explanation:The corporate migration policy regarding computing platforms is a critical consideration for adopting the single-platform solution for data warehousing.
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