adplus-dvertising

Welcome to the Principles of Dimensional Modeling MCQs Page

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

Principles of Dimensional Modeling MCQs | Page 3 of 8

Explore more Topics under Data Warehousing and OLAP

Q21.
Which modeling technique is particularly intuitive to business users?
Discuss
Answer: (b).Dimensional modeling Explanation:Dimensional modeling is known for being intuitive to business users.
Discuss
Answer: (a).Forward-engineering the model Explanation:CASE tools can be used for forward-engineering the model, among other tasks.
Discuss
Answer: (d).A model with fact tables at the center and dimension tables around it Explanation:A STAR schema is a model with fact tables at the center and dimension tables around it.
Discuss
Answer: (b).Generating a schema for the target database system Explanation:Forward-engineering involves generating a schema for the target database system.
Discuss
Answer: (c).To help marketing departments analyze orders Explanation:A STAR schema is designed to help departments like marketing analyze orders and business dimensions effectively.
Q26.
In a STAR schema, which part of the structure is used to answer specific business questions?
Discuss
Answer: (a).Fact table Explanation:The fact table in a STAR schema contains measurements and is used to answer specific business questions.
Discuss
Answer: (a).By combining dimension tables with the fact table Explanation:Queries in a STAR schema are formulated by combining dimension tables with the fact table.
Discuss
Answer: (c).Specific business dimensions and measures Explanation:A STAR schema provides an intuitive view of specific business dimensions and measures.
Discuss
Answer: (d).By offering clear relationships to lower-level data Explanation:A STAR schema supports drill-down analysis by offering clear relationships to lower-level data.
Q30.
What does the fact table in a STAR schema typically contain?
Discuss
Answer: (d).Measurements or facts Explanation:The fact table in a STAR schema typically contains measurements or facts.
Page 3 of 8

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!