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Welcome to the OLAP in the Data Warehouse MCQs Page

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

OLAP in the Data Warehouse MCQs | Page 11 of 13

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Q101.
Where does the OLAP system usually start in terms of physical platform?
Discuss
Answer: (b).On the same platform as the main data warehouse Explanation:OLAP systems usually start on the same platform as the main data warehouse when both are small.
Discuss
Answer: (c).When the main data warehouse requires all the resources of the common platform Explanation:Moving the OLAP system to another platform may be considered when the main data warehouse outgrows the common platform.
Q103.
In a decentralized enterprise, why might one or more separate platforms for the OLAP system be necessary?
Discuss
Answer: (c).To accommodate geographically spread OLAP users Explanation:Decentralized enterprises with geographically spread OLAP users may require one or more separate platforms.
Discuss
Answer: (b).User requirements and applications Explanation:The selection of OLAP products should be driven by user requirements and applications.
Q105.
What is a key consideration for the success of an OLAP system?
Discuss
Answer: (c).Performance and flexibility Explanation:Performance and flexibility are key ingredients for the success of an OLAP system.
Discuss
Answer: (b).The scalability of the products Explanation:Consider the scalability of OLAP products before choosing, as the system is expected to grow in size and active users.
Discuss
Answer: (c).Matching vendor product with users' analytical requirements Explanation:The primary focus when evaluating OLAP products is to match the vendor product with users' analytical requirements.
Q108.
What should be considered in the interface of OLAP with applications and software?
Discuss
Answer: (b).Integration with proprietary client tools Explanation:The interface of OLAP with applications and software should include integration with proprietary client tools, spreadsheets, third-party tools, and 4GL environments.
Q109.
What is the first step in implementing OLAP?
Discuss
Answer: (c).Dimensional modeling Explanation:Dimensional modeling is the first step in implementing OLAP.
Q110.
What does MDDB stand for in the context of OLAP implementation?
Discuss
Answer: (b).Multidimensional Database Explanation:MDDB stands for Multidimensional Database in the context of OLAP implementation.

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