Question 1

Which of the following phenomena states that the more attributes there are, the easier it is to build a model that fits the sample data?

Accepted Answer

A)  attribute paradox 
B)  curse of dimensionality 
C)  uncertainty principle 
D)  economies of scale 
E)  Murphy's law 
A)  attribute paradox 
B)  curse of dimensionality 
C)  uncertainty principle 
D)  economies of scale 
E)  Murphy's law

Question 2

In large organizations, a group of people manage and run a(n) ________, which is a facility for managing an organization's BI data.

Accepted Answer

A)  OLAP cube 
B)  neural network 
C)  data warehouse 
D)  Web server 
E)  information tank 
A)  OLAP cube 
B)  neural network 
C)  data warehouse 
D)  Web server 
E)  information tank

Question 3

Ajax Inc. is one of the customers of a well-known linen manufacturing company. Ajax has not ordered linen in some time, but when it did order in the past it ordered frequently, and its orders were of the highest monetary value. Under the given circumstances, Ajax is most likely to have an RFM score of ________.

Accepted Answer

A)  155 
B)  511 
C)  555 
D)  151 
E)  515 
A)  155 
B)  511 
C)  555 
D)  151 
E)  515

Question 4

Judy is analyzing weekly sales transactions at a supermarket. She finds that the support value for bed sheets and pillow covers is 0.9. Given this information, which of the following statements is True?

Accepted Answer

A)  The sale of bedsheets and pillow covers is lower than other items. 
B)  Customers who buy bedsheets usually also buy pillow covers. 
C)  The supermarket carries a large stock of bedsheets and pillow covers. 
D)  Customers who buy bedsheets rarely also buy pillow covers. 
E)  The sales of bed sheets far exceeds the sales of pillow covers. 
A)  The sale of bedsheets and pillow covers is lower than other items. 
B)  Customers who buy bedsheets usually also buy pillow covers. 
C)  The supermarket carries a large stock of bedsheets and pillow covers. 
D)  Customers who buy bedsheets rarely also buy pillow covers. 
E)  The sales of bed sheets far exceeds the sales of pillow covers.

Question 5

Samuel, a researcher, deduces that single women between the ages of 25 and 30, who usually live in the suburbs and make thrifty purchases, prefer a particular brand of washing machines. In this case, Samuel uses ________ to understand customer behavior.

Accepted Answer

A)  supervised data mining 
B)  cluster analysis 
C)  neural networks 
D)  market-basket analysis 
E)  metadata matching 
A)  supervised data mining 
B)  cluster analysis 
C)  neural networks 
D)  market-basket analysis 
E)  metadata matching

Question 6

In ________, statistical techniques can identify groups of entities that have similar characteristics.

Accepted Answer

A)  regression analysis 
B)  cluster analysis 
C)  supervised data mining 
D)  neural networks 
E)  metadata matching 
A)  regression analysis 
B)  cluster analysis 
C)  supervised data mining 
D)  neural networks 
E)  metadata matching

Question 7

Differentiate between unsupervised and supervised data mining.

Accepted Answer

Data mining techniques fall into two bro

Question 8

Which of the following statements is True of source data for a business intelligence (BI) system?

Accepted Answer

A)  It refers to the organization's metadata. 
B)  It refers to data that the organization purchases from data vendors. 
C)  It refers to the detailed level of data. 
D)  It refers to the hierarchical arrangement of criteria that predict a classification or a value. 
E)  It refers to the relative strength of data's predictive capabilities. 
A)  It refers to the organization's metadata. 
B)  It refers to data that the organization purchases from data vendors. 
C)  It refers to the detailed level of data. 
D)  It refers to the hierarchical arrangement of criteria that predict a classification or a value. 
E)  It refers to the relative strength of data's predictive capabilities.

Question 9

________ is the application of statistical techniques to find patterns and relationships among data for classification and prediction.

Accepted Answer

A)  Data optimization 
B)  Database normalization 
C)  Data mining 
D)  Data warehousing 
E)  Data clustering 
A)  Data optimization 
B)  Database normalization 
C)  Data mining 
D)  Data warehousing 
E)  Data clustering

Question 10

In expert systems, the programs that process a set of rules are called expert systems shells.

Accepted Answer

A) True 
 B)False

Question 11

Which of the following statements is True about unsupervised data mining?

Accepted Answer

A)  Analysts do not create a model or hypothesis before running the analysis. 
B)  Neural networks are a popular unsupervised data mining application. 
C)  Unsupervised data mining requires tools such as regression analysis. 
D)  Data miners develop a model prior to the analysis and apply statistical techniques to data. 
E)  Hypotheses must be made before running the analysis. 
A)  Analysts do not create a model or hypothesis before running the analysis. 
B)  Neural networks are a popular unsupervised data mining application. 
C)  Unsupervised data mining requires tools such as regression analysis. 
D)  Data miners develop a model prior to the analysis and apply statistical techniques to data. 
E)  Hypotheses must be made before running the analysis.

Question 12

The three primary activities in the business intelligence (BI) process are to acquire data, perform analysis, and publish results.

Accepted Answer

A) True 
 B)False

Question 13

OLAP provides the ability to sum, count, average, and perform other simple arithmetic operations on groups of data.

Accepted Answer

A) True 
 B)False

Question 14

Which of the following is a fundamental category of business intelligence (BI) analysis?

Accepted Answer

A)  automation 
B)  encapsulation 
C)  data hiding 
D)  data mining 
E)  cataloging 
A)  automation 
B)  encapsulation 
C)  data hiding 
D)  data mining 
E)  cataloging

Question 15

A(n) ________ is a complicated set of possibly nonlinear equations.

Accepted Answer

A)  data warehouse 
B)  neural network 
C)  expert system 
D)  online analytical processing (OLAP) cube 
E)  artificial intelligence 
A)  data warehouse 
B)  neural network 
C)  expert system 
D)  online analytical processing (OLAP) cube 
E)  artificial intelligence

Question 16

Explain knowledge management and its primary benefits.

Accepted Answer

Knowledge management (KM) is the process

Question 17

A ________ takes data from the data manufacturers, cleans and processes the data, and locates the data on the shelves.

Accepted Answer

A)  data link layer 
B)  data mine 
C)  data warehouse 
D)  data model 
E)  data bus 
A)  data link layer 
B)  data mine 
C)  data warehouse 
D)  data model 
E)  data bus

Question 18

Knowledge management (KM) benefits organizations because it ________.

Accepted Answer

A)  allows distributors to work within the company premises 
B)  allows suppliers to work according to the organizational policies 
C)  enables employees to solve problems and rectify mistakes later 
D)  improves process quality and increases team strength 
E)  improves data integrity, transmission, and value 
A)  allows distributors to work within the company premises 
B)  allows suppliers to work according to the organizational policies 
C)  enables employees to solve problems and rectify mistakes later 
D)  improves process quality and increases team strength 
E)  improves data integrity, transmission, and value

Question 19

Which of the following statements is True about data marts?

Accepted Answer

A)  A data mart is like a distributor in a supply chain, while a data warehouse can be compared to a retail store. 
B)  Data mart users possess the data management expertise that data warehouse employees have. 
C)  Data marts address the needs of a particular department or functional area of a business. 
D)  Data marts are larger than data warehouses. 
E)  Data marts contain only metadata for data warehouses. 
A)  A data mart is like a distributor in a supply chain, while a data warehouse can be compared to a retail store. 
B)  Data mart users possess the data management expertise that data warehouse employees have. 
C)  Data marts address the needs of a particular department or functional area of a business. 
D)  Data marts are larger than data warehouses. 
E)  Data marts contain only metadata for data warehouses.

Question 20

Which of the following is an example of a supervised data mining technique?

Accepted Answer

A)  cluster analysis 
B)  market-basket analysis 
C)  regression analysis 
D)  click streaming 
E)  metadata matching 
A)  cluster analysis 
B)  market-basket analysis 
C)  regression analysis 
D)  click streaming 
E)  metadata matching

Which of the following phenomena states that the more attributes there are, the easier it is to build a model that fits the sample data?

In large organizations, a group of people manage and run a(n) ________, which is a facility for managing an organization's BI data.

Judy is analyzing weekly sales transactions at a supermarket. She finds that the support value for bed sheets and pillow covers is 0.9. Given this information, which of the following statements is True?

Samuel, a researcher, deduces that single women between the ages of 25 and 30, who usually live in the suburbs and make thrifty purchases, prefer a particular brand of washing machines. In this case, Samuel uses ________ to understand customer behavior.

In ________, statistical techniques can identify groups of entities that have similar characteristics.

Differentiate between unsupervised and supervised data mining.

Which of the following statements is True of source data for a business intelligence (BI) system?

________ is the application of statistical techniques to find patterns and relationships among data for classification and prediction.

In expert systems, the programs that process a set of rules are called expert systems shells.

Which of the following statements is True about unsupervised data mining?

The three primary activities in the business intelligence (BI) process are to acquire data, perform analysis, and publish results.

OLAP provides the ability to sum, count, average, and perform other simple arithmetic operations on groups of data.

Which of the following is a fundamental category of business intelligence (BI) analysis?

A(n) ________ is a complicated set of possibly nonlinear equations.

Explain knowledge management and its primary benefits.

A ________ takes data from the data manufacturers, cleans and processes the data, and locates the data on the shelves.

Knowledge management (KM) benefits organizations because it ________.

Which of the following statements is True about data marts?

Which of the following is an example of a supervised data mining technique?

The Importance of Mis

Collaboration Information Systems

Strategy and Information Systems

Hardware, Software, and Mobile Systems

Database Processing

The Cloud

Processes, Organizations, and Information Systems

Social Media Information Systems

Information Systems Security

Information Systems Management

Information Systems Development

Filters

Exam 9: Business Intelligence Systems

Which of the following phenomena states that the more attributes there are, the easier it is to build a model that fits the sample data?

In large organizations, a group of people manage and run a(n) ________, which is a facility for managing an organization's BI data.

Judy is analyzing weekly sales transactions at a supermarket. She finds that the support value for bed sheets and pillow covers is 0.9. Given this information, which of the following statements is True?

Samuel, a researcher, deduces that single women between the ages of 25 and 30, who usually live in the suburbs and make thrifty purchases, prefer a particular brand of washing machines. In this case, Samuel uses ________ to understand customer behavior.

In ________, statistical techniques can identify groups of entities that have similar characteristics.

Differentiate between unsupervised and supervised data mining.

Which of the following statements is True of source data for a business intelligence (BI) system?

________ is the application of statistical techniques to find patterns and relationships among data for classification and prediction.

In expert systems, the programs that process a set of rules are called expert systems shells.

Which of the following statements is True about unsupervised data mining?

The three primary activities in the business intelligence (BI) process are to acquire data, perform analysis, and publish results.

OLAP provides the ability to sum, count, average, and perform other simple arithmetic operations on groups of data.

Which of the following is a fundamental category of business intelligence (BI) analysis?

A(n) ________ is a complicated set of possibly nonlinear equations.

Explain knowledge management and its primary benefits.

A ________ takes data from the data manufacturers, cleans and processes the data, and locates the data on the shelves.

Knowledge management (KM) benefits organizations because it ________.

Which of the following statements is True about data marts?

Which of the following is an example of a supervised data mining technique?

The Importance of Mis

Collaboration Information Systems

Strategy and Information Systems

Hardware, Software, and Mobile Systems

Database Processing

The Cloud

Processes, Organizations, and Information Systems

Social Media Information Systems

Information Systems Security

Information Systems Management

Information Systems Development

Filters