adplus-dvertising

Welcome to the Defining the Business Requirements MCQs Page

Dive deep into the fascinating world of Defining the Business Requirements with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Defining the Business Requirements, a crucial aspect of Data Warehousing and OLAP. In this section, you will encounter a diverse range of MCQs that cover various aspects of Defining the Business Requirements, 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.

frame-decoration

Check out the MCQs below to embark on an enriching journey through Defining the Business Requirements. 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 Defining the Business Requirements. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Defining the Business Requirements MCQs | Page 6 of 9

Explore more Topics under Data Warehousing and OLAP

Q51.
What is one of the key roles of DBAs (Database Administrators) in the requirements definition phase?
Discuss
Answer: (b).Providing data dictionary entries for source systems Explanation:DBAs provide data dictionary entries for source systems in the requirements definition phase.
Discuss
Answer: (b).It validates findings when reviewed with users. Explanation:Formal documentation is important because it validates findings when reviewed with users.
Q53.
What information about data sources should be included in the requirements definition document?
Discuss
Answer: (c).Data extraction procedures Explanation:The requirements definition document should include information about data extraction procedures for data sources.
Q54.
Why is it important to include information about available data sources in the requirements definition document?
Discuss
Answer: (d).To explain the basis for the data warehouse development Explanation:Including information about available data sources in the requirements definition document helps explain the basis for data warehouse development.
Discuss
Answer: (a).IT application experts provide data dictionary entries. Explanation:IT application experts provide data dictionary entries in the requirements definition phase.
Q56.
What is one of the key purposes of data transformation in the context of a data warehouse project?
Discuss
Answer: (c).To convert source data into suitable data for the data warehouse Explanation:Data transformation involves converting source data into suitable data for the data warehouse.
Q57.
In the requirements definition document, what is the significance of indicating where data about metrics and business dimensions will come from?
Discuss
Answer: (d).To show the relationship between source data and data warehouse data Explanation:Indicating where data about metrics and business dimensions will come from helps show the relationship between source data and data warehouse data.
Discuss
Answer: (b).Preliminary estimates of storage needs for detailed and summary data Explanation:The requirements definition document should include preliminary estimates of storage needs for detailed and summary data.
Q59.
What do preliminary estimates of storage needs help determine for a data warehouse project?
Discuss
Answer: (d).Additional storage requirements Explanation:Preliminary estimates of storage needs help determine additional storage requirements for the data warehouse.
Q60.
What are some of the types of analyses that users will need for information delivery in a data warehouse?
Discuss
Answer: (b).Drill-down, roll-up, and drill-through analysis Explanation:Users will need drill-down, roll-up, and drill-through analysis for information delivery in a data warehouse.
Page 6 of 9

Suggested Topics

Are you eager to expand your knowledge beyond Data Warehousing and OLAP? We've curated a selection of related categories that you might find intriguing.

Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!