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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 4 of 7

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Q31.
Which type of metadata is held in the catalog of the warehouse database system
Discuss
Answer: (a).Algorithmic level metadata
Q32.
Which metadata consists of information in the enterprise that is not in classical form
Discuss
Answer: (c).Mushy metadata
Q33.
The number of fact table in star schema is

a.

1

b.

2

c.

3

d.

4

Discuss
Answer: (a).1
Q34.
Which one is not a Knowledge Discovery in Databases (KDD) process
Discuss
Answer: (d).Understanding
Q35.
Total number of stages in KDD is

a.

3

b.

4

c.

5

d.

6

Discuss
Answer: (c).5
Q36.
In the data warehouse, which data have the greatest level of details stored
Discuss
Answer: (b).Atomic Data
Q37.
In Transient data, after changes with the the records, the previous version of the records will be
Discuss
Answer: (b).Eliminated
Q38.
The process of upgrading the existing quality of data before it is moved into a data warehouse is known as
Discuss
Answer: (a).Data Scrubbing
Discuss
Answer: (c).Contains Quantitative information
Q40.
A decision tree where the target variable takes a continuous value, usually numbers, are called
Discuss
Answer: (b).Regression Trees
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