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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 6 of 13

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Q51.
What are some of the key considerations when configuring client workstations for data warehouse access?

a.

Workstation operating system

b.

Tool support

c.

Network and data transport

d.

All of the above

Discuss
Answer: (d).All of the above Explanation:Key considerations for configuring client workstations for data warehouse access include the operating system, tool support, network and data transport, and other factors.
Q52.
How can the configuration of workstations for data warehouse users be made more practical?

a.

By providing unique configurations for each user type

b.

By selecting a minimum configuration that supports a standard set of information delivery tools

c.

By avoiding power user configurations

d.

By using a single universal configuration for all users

Discuss
Answer: (b).By selecting a minimum configuration that supports a standard set of information delivery tools Explanation:To make the configuration of workstations for data warehouse users practical, it is best to select a minimum configuration that supports a standard set of information delivery tools for most users and add more functions as necessary.
Q53.
What tends to happen to the platform choices for data staging and data storage as a data warehouse matures?

a.

They remain fixed

b.

They become less relevant

c.

They may need to be recast

d.

They become more complex

Discuss
Answer: (c).They may need to be recast Explanation:As a data warehouse matures, the platform choices for data staging and data storage may need to be recast to meet changing needs.
Q54.
Which factors drive the need for server hardware scalability in a data warehouse?

a.

Decreasing number of users

b.

Decreasing complexity of queries

c.

Increasing number of users and queries

d.

Stable data warehouse content

Discuss
Answer: (c).Increasing number of users and queries Explanation:Server hardware scalability in a data warehouse is driven by an increasing number of users and queries.
Q55.
What is the primary purpose of a data warehouse's existence?

a.

To store data

b.

To run complex queries

c.

To provide information to users

d.

To automate business processes

Discuss
Answer: (c).To provide information to users Explanation:The primary purpose of a data warehouse is to provide information to its users.
Q56.
Which of the following is NOT a key phrase when selecting server hardware for a data warehouse?

a.

Scalability

b.

Optimal query performance

c.

Cost-effectiveness

d.

Complexity

Discuss
Answer: (c).Cost-effectiveness Explanation:Cost-effectiveness, while important, is not one of the key phrases when selecting server hardware for a data warehouse.
Q57.
What is one of the main benefits of using parallel architecture for server hardware in a data warehouse?

a.

Reduced query complexity

b.

Slower query processing

c.

Improved query performance and scalability

d.

Fewer users

Discuss
Answer: (c).Improved query performance and scalability Explanation:One of the main benefits of using parallel architecture for server hardware in a data warehouse is improved query performance and scalability.
Q58.
Which architecture is described as a shared-everything architecture with each processor having full access to shared memory through a common bus?

a.

Clusters

b.

MPP (Massively Parallel Processing)

c.

SMP (Symmetric Multiprocessing)

d.

NUMA (Non-Uniform Memory Access)

Discuss
Answer: (c).SMP (Symmetric Multiprocessing) Explanation:The described architecture is SMP (Symmetric Multiprocessing).
Q59.
What is one benefit of SMP (Symmetric Multiprocessing) architecture?

a.

High availability

b.

Low operating system overhead

c.

Shared memory among nodes

d.

Scalable performance by adding more processors

Discuss
Answer: (d).Scalable performance by adding more processors Explanation:One benefit of SMP architecture is scalable performance; you can add more processors to the system for improved performance.
Q60.
In which architecture is memory not shared among nodes, and communication occurs over a high-speed bus?

a.

Clusters

b.

SMP (Symmetric Multiprocessing)

c.

MPP (Massively Parallel Processing)

d.

NUMA (Non-Uniform Memory Access)

Discuss
Answer: (a).Clusters Explanation:The described architecture is clusters.
Page 6 of 13

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