MISY 5380 STANDARD EXAMS ANSWERS AND
QUESTIONS SET A+
✔✔A data mart would usually be accessed by:
A. Campaign management software
B. Spreadsheet software
C. Statistical software
D. Data mining software
E. All of the above - ✔✔E. All of the above
✔✔A data warehouse uses business rule software to update the operational data store
on a periodic basis. T/F - ✔✔False
✔✔An emphasis on the individual customer dialogue and segmentation is indicative of a
(an)
A. Integrated marketing environment
B. Mass communication environment
C. Data warehouse environment
D. Database marketing environment
E. Customer interaction environment - ✔✔D. Database marketing environment
✔✔___ is not a statistical method.
A. RFM
B. Chi-square
C. Regression analysis
D. Correlation
E. Analysis of Variance - ✔✔A. RFM
✔✔Data mining has many benefits, but the ability to create new differentiation strategies
is not one of them. T/F - ✔✔False
, ✔✔A _____ can be learned by splitting the source set into subsets based on an
attribute value test.
A. Clustering
B. RFM
C. Decision Tree
D. Regression analysis
E. Fuzzy Logic - ✔✔C. Decision Tree
✔✔Organizations in the financial services industry are very proficient in data mining
techniques. T/F - ✔✔True
✔✔Fuzzy logic is not a data mining method. T/F - ✔✔False
✔✔A major data mining challenge is organizational obstacles to attaining the data
necessary for analysis. T/F - ✔✔True
✔✔___ is not a data mining activity.
A. Transaction buyer identification
B. Word of mouth calculation
C. LTV calculation
D. Clustering
E. POS sales transmission - ✔✔E. POS sales transmission
✔✔Regression analysis and correlation are statistic methods that can be used as part
of a data mining process. T/F - ✔✔True
✔✔___ is the process of placing customers into groups such that everyone in the group
has similar traits.
A. Geo-analysis
B. Clustering
C. Sorting
D. Decision tree analysis
E. Suppression - ✔✔B. Clustering
✔✔_______ is an example of a data mining process.
A. Sorting and analyzing data
B. Processing all online orders immediately
C. Updating a data warehouse
D. Browsing information in search of patterns and anomalies
E. Data preparation - ✔✔D. Browsing information in search of patterns and anomalies
QUESTIONS SET A+
✔✔A data mart would usually be accessed by:
A. Campaign management software
B. Spreadsheet software
C. Statistical software
D. Data mining software
E. All of the above - ✔✔E. All of the above
✔✔A data warehouse uses business rule software to update the operational data store
on a periodic basis. T/F - ✔✔False
✔✔An emphasis on the individual customer dialogue and segmentation is indicative of a
(an)
A. Integrated marketing environment
B. Mass communication environment
C. Data warehouse environment
D. Database marketing environment
E. Customer interaction environment - ✔✔D. Database marketing environment
✔✔___ is not a statistical method.
A. RFM
B. Chi-square
C. Regression analysis
D. Correlation
E. Analysis of Variance - ✔✔A. RFM
✔✔Data mining has many benefits, but the ability to create new differentiation strategies
is not one of them. T/F - ✔✔False
, ✔✔A _____ can be learned by splitting the source set into subsets based on an
attribute value test.
A. Clustering
B. RFM
C. Decision Tree
D. Regression analysis
E. Fuzzy Logic - ✔✔C. Decision Tree
✔✔Organizations in the financial services industry are very proficient in data mining
techniques. T/F - ✔✔True
✔✔Fuzzy logic is not a data mining method. T/F - ✔✔False
✔✔A major data mining challenge is organizational obstacles to attaining the data
necessary for analysis. T/F - ✔✔True
✔✔___ is not a data mining activity.
A. Transaction buyer identification
B. Word of mouth calculation
C. LTV calculation
D. Clustering
E. POS sales transmission - ✔✔E. POS sales transmission
✔✔Regression analysis and correlation are statistic methods that can be used as part
of a data mining process. T/F - ✔✔True
✔✔___ is the process of placing customers into groups such that everyone in the group
has similar traits.
A. Geo-analysis
B. Clustering
C. Sorting
D. Decision tree analysis
E. Suppression - ✔✔B. Clustering
✔✔_______ is an example of a data mining process.
A. Sorting and analyzing data
B. Processing all online orders immediately
C. Updating a data warehouse
D. Browsing information in search of patterns and anomalies
E. Data preparation - ✔✔D. Browsing information in search of patterns and anomalies
