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Welcome to the Architectural Components MCQs Page

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

Architectural Components MCQs | Page 4 of 9

Explore more Topics under Data Warehousing and OLAP

Q31.
How does the Management and Control Module handle data warehouse administration functions?

a.

It uses a variety of specialized tools for data warehouse administration.

b.

It delegates administration to data warehouse users.

c.

It performs administration functions using tools available in the data warehouse DBMS.

d.

It outsources administration to third-party service providers.

Discuss
Answer: (c).It performs administration functions using tools available in the data warehouse DBMS. Explanation:The Management and Control Module in data warehouse architecture typically performs administration functions using tools available in the data warehouse DBMS.
Q32.
What does the technical architecture of a data warehouse encompass?

a.

The set of tools needed to perform specific functions

b.

The architecture of the data warehouse

c.

The data sources for the data warehouse

d.

The procedures and rules required to perform functions and provide services

Discuss
Answer: (d).The procedures and rules required to perform functions and provide services Explanation:The technical architecture of a data warehouse includes the procedures, rules, and data stores required to perform functions and provide services within its component structures.
Q33.
What comes first in the data warehousing process, architecture or tools?

a.

Architecture

b.

Tools

c.

Data extraction

d.

Data source

Discuss
Answer: (a).Architecture Explanation:Architecture comes first in the data warehousing process, and tools are selected to implement the architecture.
Q34.
When selecting tools for a data warehouse, what should you consider first?

a.

The cost of the tools

b.

The availability of third-party tools

c.

The architecture of the data warehouse

d.

The functionality and requirements of the data warehouse

Discuss
Answer: (c).The architecture of the data warehouse Explanation:When selecting tools for a data warehouse, you should consider the architecture of the data warehouse and its functionality and requirements.
Q35.
What is the purpose of the architectural plan for a data warehouse?

a.

To serve as a blueprint for the design and development of the data warehouse

b.

To outline the cost of tools and resources required

c.

To select the data sources for the data warehouse

d.

To define the business requirements for the data warehouse

Discuss
Answer: (a).To serve as a blueprint for the design and development of the data warehouse Explanation:The architectural plan for a data warehouse serves as a blueprint for the design and development of the data warehouse. It details the extent and complexity of functions, services, procedures, and data stores for each architectural component.
Q36.
The technical architecture in each of the three major areas of the data warehouse includes:

a.

Information delivery, data staging, and metadata

b.

Data acquisition, data storage, and information delivery

c.

Data extraction, data transformation, and data cleansing

d.

Data source, data destination, and data transformation

Discuss
Answer: (b).Data acquisition, data storage, and information delivery Explanation:The technical architecture in each of the three major areas of the data warehouse includes data acquisition, data storage, and information delivery components.
Q37.
What does the data acquisition area of a data warehouse cover?

a.

Data storage and information delivery

b.

Data extraction and information retrieval

c.

Data transformation and data cleansing

d.

Data extraction, moving data to the staging area, and data preparation for loading into the data warehouse repository

Discuss
Answer: (d).Data extraction, moving data to the staging area, and data preparation for loading into the data warehouse repository Explanation:The data acquisition area of a data warehouse covers the processes of data extraction, moving data to the staging area, and data preparation for loading into the data warehouse repository.
Q38.
What are the two major architectural components in the data acquisition area?

a.

Data sources and data transformation

b.

Data cleansing and data integration

c.

Source data and data staging

d.

Information delivery and data flow

Discuss
Answer: (c).Source data and data staging Explanation:The two major architectural components in the data acquisition area are source data and data staging.
Q39.
Which of the following is true regarding the data sources in data acquisition?

a.

Data sources consist exclusively of legacy systems.

b.

Data sources in modern organizations are primarily relational DBMSs.

c.

Data sources may include a variety of operational systems, including legacy systems, client/server systems, and ERP systems.

d.

Data sources do not require any data extraction tools.

Discuss
Answer: (c).Data sources may include a variety of operational systems, including legacy systems, client/server systems, and ERP systems. Explanation:Data sources in the data acquisition area may include a variety of operational systems, including legacy systems, client/server systems, and ERP systems.
Q40.
What may be a drawback to using ERP data sources in a data warehouse?

a.

ERP data sources are not consolidated and integrated.

b.

ERP systems do not require proprietary tools for data extraction.

c.

ERP data sources do not contain a large number of source data tables.

d.

You may need to use the ERP vendor's proprietary tool for data extraction.

Discuss
Answer: (d).You may need to use the ERP vendor's proprietary tool for data extraction. Explanation:A drawback to using ERP data sources in a data warehouse is that you may need to use the ERP vendor's proprietary tool for data extraction.
Page 4 of 9

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