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IBM BAS-012 Dumps

IBM BAS-012 Practice Exam Questions

IBM SPSS Modeler Data Analysis for Business Partners v2

Total Questions : 25
Update Date : August 24, 2026
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IBM BAS-012 Sample Question Answers

Question # 1

System undefined values ($null$) are automatically defined as blank (missing) values in IBM SPSS Modeler. 

A. True 
B. False 



Question # 2

Which of the following types of nodes will have data flowing both in and out, when used in a stream?

A. Record Ops
B. Graphs 
C. Export 
D. Sources 



Question # 3

Auto checking for invalid values can be done on the Type tab in any Source node. 

A. True 
B. False



Question # 4

The optimal binning method in the Binning node uses a Supervisor field to determine the binning cut points.  

A. True
B. False 



Question # 5

Which method would be used on the Merge node in order to combine a file containing 100 products and a file containing 50 suppliers and retain only the matching records? 

A. Inner join 
B. Anti-join
C. Full outer join
D. Partial outer join 



Question # 6

The SetToFlag node creates separate flag fields for values of a categorical field. It must be followed by an Aggregate node in order to aggregate the flag fields on a grouping field such as transaction records grouped to customer’s records. 

A. True 
B. False 



Question # 7

Which node is used to read data from a comma delimited text file?

A. Var. File 
B. Data Collection
C. Fixed File
D. Statistics File



Question # 8

An online retailer wants to identi1e groups of customers based on components of their buying behavior, such as types of products purchased, volume of purchases, and frequency of purchases. What type of model would be used? 

A. Association model 
B. Segmentation model
C. Classification model
D. Sequence model 



Question # 9

Which node can be used to easily generate a field that divides the data into subsamples for the Training and Testing stages of modeling? 

A. Sample 
B. Filler 
C. Balance 
D. Partition 



Question # 10

The CRISP-DM Process Methodology is a linear process. 

A. True 
B. False