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Welcome to the Requirements as the Driving Force for Data warehousing MCQs Page

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 5 of 8

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Q41.
What is the role of middleware in data warehousing?

a.

Middleware is used for data extraction and transformation.

b.

Middleware is responsible for data quality assurance.

c.

Middleware acts as a bridge between different components of the architecture.

d.

Middleware is used for data mining operations.

Discuss
Answer: (c).Middleware acts as a bridge between different components of the architecture. Explanation:Middleware acts as a bridge between different components of the data warehousing architecture.
Q42.
What is the primary purpose of alert systems in data warehousing?

a.

Data extraction

b.

Data transformation

c.

Report writing

d.

Providing alerts and notifications based on predefined conditions

Discuss
Answer: (d).Providing alerts and notifications based on predefined conditions Explanation:Alert systems in data warehousing provide alerts and notifications based on predefined conditions.
Q43.
What are scorecards typically used for in data warehousing?

a.

Data extraction and transformation

b.

Query processing and reporting

c.

Monitoring and measuring key performance indicators

d.

Data quality assurance and load image creation

Discuss
Answer: (c).Monitoring and measuring key performance indicators Explanation:Scorecards in data warehousing are typically used for monitoring and measuring key performance indicators.
Q44.
What are the typical components for which data storage specifications are needed in a data warehouse?

a.

Data extraction, transformation, and loading (ETL) tools

b.

Data cleansing and conversion tools

c.

Data marts and multidimensional databases

d.

Information delivery tools and data staging area

Discuss
Answer: (c).Data marts and multidimensional databases Explanation:Data storage specifications are typically needed for data marts and multidimensional databases in a data warehouse.
Q45.
What is the usual structure of the overall corporate data warehouse and data marts?

a.

Both are typically based on the hierarchical model.

b.

The data warehouse is relational, and data marts are dimensional.

c.

The data warehouse is multidimensional, and data marts are relational.

d.

Both are typically based on the network model.

Discuss
Answer: (b).The data warehouse is relational, and data marts are dimensional. Explanation:The overall corporate data warehouse is typically based on the relational model, while data marts are usually structured on the dimensional model.
Q46.
What is one important criterion for selecting a database management system (DBMS) in the context of data warehousing?

a.

The DBMS must be closed and proprietary.

b.

The DBMS should be compatible with the back-end and front-end tools.

c.

The DBMS should come from the same vendor as the tools.

d.

The DBMS must be based on a hierarchical model.

Discuss
Answer: (b).The DBMS should be compatible with the back-end and front-end tools. Explanation:One important criterion for selecting a DBMS in data warehousing is that the DBMS should be compatible with the back-end and front-end tools.
Q47.
What is the role of back-end tools in the data warehousing context?

a.

Back-end tools are responsible for information delivery to users.

b.

Back-end tools are used for data extraction and transformation.

c.

Back-end tools are used for report writing and query processing.

d.

Back-end tools are used for managing data storage specifications.

Discuss
Answer: (b).Back-end tools are used for data extraction and transformation. Explanation:Back-end tools in the data warehousing context are used for data extraction and transformation.
Q48.
In the requirements definition phase, what specific aspect of the DBMS is not discussed during interviews and formal meetings with users?

a.

The type of DBMS to be selected

b.

The level of user experience

c.

The features for monitoring queries

d.

The type of tool kit component

Discuss
Answer: (a).The type of DBMS to be selected Explanation:The type of DBMS to be selected is not specifically discussed in the requirements definition phase during interviews and formal meetings with users.
Q49.
What may condition the choice of a DBMS in the context of business requirements?

a.

The type of queries users formulate

b.

The number of interviews conducted with users

c.

The complexity of the requirements definition document

d.

The availability of budget for DBMS selection

Discuss
Answer: (a).The type of queries users formulate Explanation:The type of queries users formulate may condition the choice of a DBMS based on business requirements.
Q50.
Which factor influences the degree of openness required in the selected DBMS?

a.

The complexity of the queries

b.

The frequency of data loads

c.

The type and extent of the metadata framework

d.

The number of interviews conducted with users

Discuss
Answer: (c).The type and extent of the metadata framework Explanation:The type and extent of the metadata framework influence the degree of openness required in the selected DBMS.
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