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Welcome to the Building Blocks of Data Warehouse MCQs Page

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

Building Blocks of Data Warehouse MCQs | Page 3 of 10

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Q21.
What is the finer data granularity in a data warehouse?

a.

High level of detail

b.

Middle level of detail

c.

Low level of detail

d.

Summary data

Discuss
Answer: (c).Low level of detail Explanation:Finer data granularity in a data warehouse refers to a low level of detail.
Q22.
What is the single most important issue facing IT managers when considering data warehousing, according to Bill Inmon?

a.

Choosing the right data warehouse software

b.

Deciding whether to build a data warehouse first or a data mart first

c.

Determining the ideal data warehouse size

d.

Selecting data integration tools

Discuss
Answer: (b).Deciding whether to build a data warehouse first or a data mart first Explanation:Bill Inmon identified the decision of whether to build a data warehouse first or a data mart first as a critical issue facing IT managers.
Q23.
Which approach focuses on individual departmental requirements and building departmental data marts?

a.

Top-down approach

b.

Enterprise-wide approach

c.

Bottom-up approach

d.

Independent data mart approach

Discuss
Answer: (c).Bottom-up approach Explanation:The bottom-up approach focuses on individual departmental requirements and building departmental data marts.
Q24.
What is the main focus of the top-down approach in data warehousing?

a.

Building departmental data marts

b.

Creating fragmented islands of information

c.

Centralized repository for the entire enterprise

d.

Implementing a dimensional data model

Discuss
Answer: (c).Centralized repository for the entire enterprise Explanation:The top-down approach in data warehousing focuses on creating a centralized repository for the entire enterprise.
Q25.
What does Bill Inmon's top-down approach emphasize?

a.

Independent data marts

b.

An iterative implementation method

c.

The Corporate Information Factory (CIF)

d.

A union of disparate data marts

Discuss
Answer: (c).The Corporate Information Factory (CIF) Explanation:Bill Inmon's top-down approach emphasizes the Corporate Information Factory (CIF) as the logical framework for delivering business intelligence to the enterprise.
Q26.
What are the advantages of the top-down approach?

a.

Quick results with low risk

b.

Centralized rules and control

c.

Low outlay without proof of concept

d.

Fragmented islands of information

Discuss
Answer: (b).Centralized rules and control Explanation:The top-down approach offers advantages like centralized rules and control.
Q27.
What are the disadvantages of the top-down approach?

a.

Inherently architected with proof of concept

b.

Quick implementation with low risk

c.

High outlay without proof of concept

d.

A union of disparate data marts

Discuss
Answer: (c).High outlay without proof of concept Explanation:One of the disadvantages of the top-down approach is that it often requires a high outlay without a proof of concept.
Q28.
Which approach is characterized by the building of departmental data marts that later combine into a data warehouse?

a.

Top-down approach

b.

Bottom-up approach

c.

Independent data mart approach

d.

Centralized repository approach

Discuss
Answer: (b).Bottom-up approach Explanation:The bottom-up approach involves building departmental data marts that later combine into a data warehouse.
Q29.
What is the primary focus of the bottom-up approach?

a.

Centralized repository for the entire enterprise

b.

Departmental data marts

c.

The Corporate Information Factory (CIF)

d.

A union of disparate data marts

Discuss
Answer: (b).Departmental data marts Explanation:The primary focus of the bottom-up approach is on departmental data marts.
Q30.
What is the primary focus of the bottom-up approach in data warehousing?

a.

Building a centralized data warehouse for the entire enterprise

b.

Creating a collection of conformed data marts

c.

Centralized repository for the entire enterprise

d.

Inherently architected data warehouse

Discuss
Answer: (b).Creating a collection of conformed data marts Explanation:The bottom-up approach focuses on creating a collection of conformed data marts.
Page 3 of 10

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