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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 2 of 8

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Q11.
What do users measure their success in terms of for automaker sales?
Discuss
Answer: (b).Key measurements Explanation:Users measure their success in terms of key measurements such as actual sale price, MSRP, options price, full price, etc.
Discuss
Answer: (a).Business dimensions Explanation:The structure of the data model is directly related to the number of business dimensions.
Q13.
Which components form the backbone of the dimensional data model?
Discuss
Answer: (d).Both b and c Explanation:Business dimensions and key measurements form the backbone of the dimensional data model.
Q14.
What ensures that users can review the results in proper key measurements?
Discuss
Answer: (c).Information package diagrams Explanation:Information package diagrams ensure that users can review the results in proper key measurements.
Q15.
What are used for business analysis and monitoring, and include metrics like sale units, revenue, cost, and profit margin?
Discuss
Answer: (a).Business dimensions Explanation:Business dimensions are used for business analysis and monitoring, and they include metrics like sale units, revenue, cost, and profit margin.
Discuss
Answer: (c).It enables users to view data at various levels of detail and aggregation. Explanation:Drill-down and roll-up facilities in the data model allow users to view data at various levels of detail and aggregation during analysis.
Discuss
Answer: (d).Identifying the types of summary and detail levels of data Explanation:The essential aspect of requirements definition related to the data model is identifying the types of summary and detail levels of data.
Discuss
Answer: (b).Sizing up each component for the environment Explanation:The primary purpose of data warehouse architecture planning is to size up each component for the environment.
Discuss
Answer: (b).Source data, production data, and metadata Explanation:The major architectural components of a data warehouse include source data, production data, and metadata.
Discuss
Answer: (d).By sizing up each component and setting parameters Explanation:Planning the overall architecture for a data warehouse involves reviewing each component, sizing up each component, and setting parameters.
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