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Welcome to the Role of Metadata in Data Warehousing MCQs Page

Dive deep into the fascinating world of Role of Metadata in Data Warehousing with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Role of Metadata in 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 Role of Metadata in 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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Check out the MCQs below to embark on an enriching journey through Role of Metadata in Data Warehousing. 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 Role of Metadata in Data Warehousing. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Role of Metadata in Data Warehousing MCQs | Page 11 of 13

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Discuss
Answer: (b).Flexible organization, integrated storage of business and technical metadata, and customizable views Explanation:Some of the basic requirements for a centralized metadata repository in a data warehouse environment include flexible organization, integrated storage of business and technical metadata, and customizable views.
Discuss
Answer: (d).The challenge of finding a repository tool that satisfies all requirements Explanation:One of the challenges associated with using a centralized metadata repository is the difficulty of finding a repository tool that satisfies all the required criteria.
Discuss
Answer: (a).The Open Information Model (OIM) and Common Warehouse Metamodel (CWM) Explanation:The standards developed for metadata in the data warehouse environment include the Open Information Model (OIM) and the Common Warehouse Metamodel (CWM).
Q104.
What does the standard model for metadata concepts provide for in a data warehouse environment?
Discuss
Answer: (c).Both logical and physical database concepts Explanation:The standard model for metadata concepts in a data warehouse environment includes both logical and physical database concepts.
Discuss
Answer: (c).By capturing descriptions of data cubes Explanation:The standard model can be extended to include OLAP-specific metadata types by capturing descriptions of data cubes.
Q106.
What is the role of metadata standards in the data acquisition processes of a data warehouse environment?
Discuss
Answer: (a).Supporting transformation design Explanation:Metadata standards in data acquisition processes of a data warehouse environment support transformation design.
Discuss
Answer: (a).Select and use a single centralized repository for all metadata Explanation:One of the options for implementing metadata management in a data warehouse environment is to select and use a single centralized repository for all metadata.
Q108.
What is a potential challenge associated with a single centralized metadata repository in a large data warehouse?
Discuss
Answer: (a).It restricts the autonomy of individual processes. Explanation:A potential challenge associated with a single centralized metadata repository in a large data warehouse is that it may restrict the autonomy of individual processes.
Q109.
What method involves developing a set of procedures for standard tool usage and providing a table of contents for metadata?
Discuss
Answer: (d).Developer's own solution Explanation:The method involving developing a set of procedures for standard tool usage and providing a table of contents for metadata is referred to as the developer's own solution.
Discuss
Answer: (c).It provides side-by-side display of metadata and real data. Explanation:Web technology in the current trend for data warehouse reporting and OLAP functions allows side-by-side display of metadata and real data.

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