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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 7 of 13

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Q61.
What is one limitation of the clusters architecture?

a.

High availability

b.

Low operating system overhead

c.

Scalability limited by bus bandwidth

d.

Shared memory among nodes

Discuss
Answer: (c).Scalability limited by bus bandwidth Explanation:One limitation of the clusters architecture is scalability limited by bus bandwidth.
Q62.
Which architecture is recommended for a data warehouse expected to grow in well-defined increments?

a.

Clusters

b.

SMP (Symmetric Multiprocessing)

c.

MPP (Massively Parallel Processing)

d.

NUMA (Non-Uniform Memory Access)

Discuss
Answer: (a).Clusters Explanation:Clusters architecture is recommended for data warehouses expected to grow in well-defined increments.
Q63.
Which of the following architecture can be described as a shared-nothing architecture that is more concerned with disk access than memory access?

a.

Clusters

b.

SMP (Symmetric Multiprocessing)

c.

MPP (Massively Parallel Processing)

d.

NUMA (Cache-Coherent Nonuniform Memory Architecture)

Discuss
Answer: (c).MPP (Massively Parallel Processing) Explanation:The described architecture is MPP (Massively Parallel Processing).
Q64.
Which benefit is associated with the MPP (Massively Parallel Processing) architecture?

a.

Highly scalable

b.

Restricted data access

c.

Low cost per node

d.

Shared memory among nodes

Discuss
Answer: (a).Highly scalable Explanation:One benefit of the MPP architecture is that it is highly scalable.
Q65.
Which architecture is the newest and developed in the 1990s, breaking a big SMP into smaller SMPs that are easier to build?

a.

Clusters

b.

SMP (Symmetric Multiprocessing)

c.

MPP (Massively Parallel Processing)

d.

NUMA (Cache-Coherent Nonuniform Memory Architecture)

Discuss
Answer: (d).NUMA (Cache-Coherent Nonuniform Memory Architecture) Explanation:The described architecture is NUMA (Cache-Coherent Nonuniform Memory Architecture).
Q66.
What does NUMA stand for in NUMA architecture?

a.

National Unified Memory Access

b.

Nonuniform Memory Access

c.

Networked Unified Memory Access

d.

New Universal Memory Architecture

Discuss
Answer: (b).Nonuniform Memory Access Explanation:NUMA stands for Nonuniform Memory Access in NUMA architecture.
Q67.
What benefit is associated with NUMA architecture?

a.

Low software support

b.

Simplified programming

c.

Maximum flexibility

d.

Limited scalability

Discuss
Answer: (c).Maximum flexibility Explanation:One benefit of NUMA architecture is that it provides maximum flexibility.
Q68.
Which option can be described as a more aggressive approach, involving a NUMA machine consisting of one or two SMP nodes?

a.

MPP (Massively Parallel Processing)

b.

Clusters

c.

SMP (Symmetric Multiprocessing)

d.

NUMA (Cache-Coherent Nonuniform Memory Architecture)

Discuss
Answer: (d).NUMA (Cache-Coherent Nonuniform Memory Architecture) Explanation:The described option is NUMA (Cache-Coherent Nonuniform Memory Architecture).
Q69.
Which type of indexing can be very effective in a data warehouse environment when indexing on fields with a smaller number of distinct values?

a.

B-tree indexing

b.

Hash indexing

c.

Bit-mapped indexing

d.

Clustered indexing

Discuss
Answer: (c).Bit-mapped indexing Explanation:Bit-mapped indexing can be effective in indexing fields with a smaller number of distinct values, such as geographic regions in a data warehouse.
Q70.
Which database software feature has been enhanced to assist in bulk refreshes and incremental loading of the data warehouse?

a.

Bit-mapped indexing

b.

Parallel processing

c.

Replication

d.

Aggregation

Discuss
Answer: (c).Replication Explanation:Replication features have been reinforced to assist in bulk refreshes and incremental loading of the data warehouse.
Page 7 of 13

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