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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 2 of 7

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Q11.
Business Intelligence (BI) reporting analyses can be performed using ________ .

a.

standard SQL only

b.

extensions to SQL only

c.

OLAP only

d.

both standard SQL and extensions to SQL

Discuss
Answer: (a).standard SQL only
Q12.
We have been given access to the company's operational data, and have been asked to produce a report. We discover that some of the data we need are in an SQL server database while other needed data are in a separate Oracle database. This is an example of ________ .

a.

dirty data

b.

inconsistent data

c.

non-integrated data

d.

a "wrong format" problem

Discuss
Answer: (c).non-integrated data
Q13.
The reports generated by a reporting system are usually not delivered in which of the following media?

a.

Web portal

b.

Commercial courier service

c.

Digital dashboard

d.

E-Mail

Discuss
Answer: (b).Commercial courier service
Q14.
Data mining applications are used accomplish which of the following tasks?

a.

Process transactions only

b.

Do RFM analysis only

c.

Do what-if analysis only

d.

Do both RFM and what-if analysis

Discuss
Answer: (c).Do what-if analysis only
Q15.
Which of the following is an unsupervised data mining technique?

a.

Cluster analysis only

b.

Regression Analysis only

c.

RFM Analysis only

d.

Both Regression Analysis and RFM Analysis

Discuss
Answer: (a).Cluster analysis only
Q16.
In OLAP, we are interested in ________ .

a.

levels only

b.

dimensions only

c.

measures only

d.

measures and dimensions

Discuss
Answer: (d).measures and dimensions
Q17.
Which of the following is not a reason that operational data are difficult to read?

a.

Non-duplicated data

b.

Dirty data

c.

Missing values

d.

Non-integrated data

Discuss
Answer: (a).Non-duplicated data
Q18.
We have Market Basket data for 1,000 rental transactions at a Video Store. There are four videos for rent -- Video A, Video B, Video C and Video D. The probability that Video D will be rented given that Video C has been rented is known as ________ .

a.

the basic probability

b.

support

c.

lift

d.

confidence

Discuss
Answer: (d).confidence
Q19.
One popular classification technique in Business Intelligence (BI) reporting is ________ .

a.

cluster analysis only

b.

regression analysis only

c.

RFM analysis only

d.

both cluster analysis and regression analysis

Discuss
Answer: (c).RFM analysis only
Q20.
We have done an RFM analysis on our customer data. Mary Jones has a score of "1 1 5". This series means that Mary ________ .

a.

Has ordered recently, orders frequently, and places a large order when she orders.

b.

Hasn't ordered recently, orders infrequently, but places a large order when she orders.

c.

Has ordered recently, orders frequently, but doesn't place a large order when she orders

d.

Hasn't ordered recently, orders infrequently, and doesn't place a large order when she orders.

Discuss
Answer: (c).Has ordered recently, orders frequently, but doesn't place a large order when she orders
Page 2 of 7

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