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Welcome to the Data Warehousing and Data Mining MCQs Page

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

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Check out the MCQs below to embark on an enriching journey through Data Warehousing and Data Mining. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of DBMS.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Data Warehousing and Data Mining. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Data Warehousing and Data Mining MCQs | Page 5 of 7

Explore more Topics under DBMS

Q41.
Which one is a method of incremental conceptual clustering
Discuss
Answer: (c).COBWEB
Q42.
Data warehouse architecture is based on
Discuss
Answer: (b).RDBMS
Q43.
In OLAP cubes, data (measures) are categorized by
Discuss
Answer: (c).Dimensions
Q44.
Which type of database can be used for optimizing data warehousing and OLAP (online analytical processing)
Discuss
Answer: (d).Multidimensional
Discuss
Answer: (d).Operational Data Store
Q46.
________ is a subject-oriented, integrated,time-varying, nonvolatile collection of data in support of management decisions –making process.
Discuss
Answer: (b).Data warehouse
Discuss
Answer: (d).Online Analytical Processing

Discuss
Answer: (a).Online Transaction Processing
Q49.
The data is stored, retrieved and updated in
Discuss
Answer: (a).OLTP
Q50.
State true or false : "An OLAP system is market-oriented and is used for data analysis by knowledge workers, including managers, executives, and analysts."
Discuss
Answer: (a).True
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