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Dive deep into the fascinating world of Requirements as the Driving Force for Data warehousing with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Requirements as the Driving Force 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 Requirements as the Driving Force 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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Requirements as the Driving Force for Data warehousing MCQs | Page 3 of 8

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Q21.
What is the source of all the information needed to plan the architecture of a data warehouse?

a.

Business requirements

b.

Metadata

c.

Source data

d.

Data extraction

Discuss
Answer: (a).Business requirements Explanation:The source of all the information needed to plan the architecture of a data warehouse is business requirements.
Q22.
Why is business requirements information crucial for the architectural plan of a data warehouse?

a.

It helps in defining source data.

b.

It speeds up data extraction.

c.

It provides insights into the interfaces between components.

d.

It drives the size and content of the data warehouse components.

Discuss
Answer: (d).It drives the size and content of the data warehouse components. Explanation:Business requirements information is crucial for the architectural plan of a data warehouse because it drives the size and content of the data warehouse components.
Q23.
What type of information must be included in the requirements definition for the "Data Staging" component of a data warehouse?

a.

Departmental data such as files, documents, and spreadsheets

b.

Size of extracted and integrated data

c.

Data transformations

d.

Centralized for enterprise data warehouse

Discuss
Answer: (b).Size of extracted and integrated data Explanation:The "Data Staging" component requires information about the size of extracted and integrated data and details about data transformations.
Q24.
Which component of the data warehouse architecture focuses on the types and number of users, types of queries and reports, and front-end DSS applications?

a.

Data Storage

b.

Metadata

c.

Information Delivery

d.

Management and Control

Discuss
Answer: (c).Information Delivery Explanation:The "Information Delivery" component focuses on the types and number of users, types of queries and reports, and front-end DSS applications.
Q25.
What does the "Management and Control" component of the data warehouse architecture involve?

a.

Data loading and external sources

b.

Operational source systems and computing platforms

c.

Data storage size and DBMS features

d.

Types of queries and reports

Discuss
Answer: (a).Data loading and external sources Explanation:The "Management and Control" component involves aspects like data loading and external sources.
Q26.
Why is it important to pay special attention to special considerations in the requirements definition phase?

a.

To simplify the data warehouse architecture

b.

To avoid serious consequences in data warehouse implementation

c.

To reduce the number of users in the system

d.

To increase the size of the data storage component

Discuss
Answer: (b).To avoid serious consequences in data warehouse implementation Explanation:Paying special attention to special considerations in the requirements definition phase is important to avoid serious consequences in data warehouse implementation.
Q27.
Which components should receive special consideration during the requirements definition phase?

a.

Data Storage and Data Staging

b.

Source Data and Metadata

c.

Information Delivery and Management and Control

d.

Operational source systems and data transformations

Discuss
Answer: (c).Information Delivery and Management and Control Explanation:Specific functions deserving special consideration are Information Delivery and Management and Control.
Q28.
Why do ETL (Data Extraction, Transformation, and Loading) activities require special consideration in data warehousing?

a.

They are the least time-consuming activities.

b.

They are unrelated to data architecture.

c.

They are the most time-consuming and human-intensive activities.

d.

They are automated and don't require attention.

Discuss
Answer: (c).They are the most time-consuming and human-intensive activities. Explanation:ETL activities are the most time-consuming and human-intensive activities in data warehousing, requiring special consideration.
Q29.
What special considerations are needed for ETL in the requirements definition for real-time data warehousing?

a.

Techniques for real-time data extraction and integration

b.

Compatibility with external data sources

c.

Nightly updates to the data warehouse

d.

Data element normalization

Discuss
Answer: (a).Techniques for real-time data extraction and integration Explanation:Special considerations for real-time data warehousing ETL include techniques for real-time data extraction and integration.
Q30.
What is one of the functions required for data transformation in ETL?

a.

Data extraction from source systems

b.

Aggregation of data

c.

Data warehousing repository management

d.

Monitoring of source data sources

Discuss
Answer: (b).Aggregation of data Explanation:Aggregation is one of the functions required for data transformation in ETL.
Page 3 of 8

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