Test information:
Number of questions: 25
Time allowed in minutes: 60
Required passing score: 68%
Languages: English, Japanese
Business Understanding (5%)
Review the CRISP methodology
General Operations in Modeler (20%)
Build streams
Run streams
Read different types of files into Modeler
Data Understanding (30%)
Extent of missing data
Outliers
Field distribution and summary statistics
Auto checking for missing and out of bounds data
Bivariate relationships between variables
Data Preparation (40%)
Create new variables with the Derive Node
Create new variables with the Reclassify Node
Combine data files
Restructure data
Aggregate data
Remove duplicates
Sampling cases
Balance data
Data caching
Partitione data
Missing Value replacement
Modeling (5%)
Predictive models
Cluster models
Association models
NOTE: Business partners who take this exam are only expected to familiar with each class of model and the steps that are necessary to prepare the data prior creating the models in the software.
IBM Certified Associate - SPSS Modeler Data Analysis v2
Job Role Description / Target Audience
This certification is designed for Business Partners with a beginning knowledge of IBM SPSS Modeler version 14 or higher working in government, academia, or business who use the IBM SPSS Modeler product to perform data mining activities including data preparation, data understanding, and modeling.
The IBM Certified Associate - SPSS Modeler Data Analysis v2 may utilize the IBM SPSS Modeler product for applications such as fraud detection, customer management and churn, risk management, and so forth.
Question 1:
The optimal binning method in the Binning node uses a Supervisor field to determine the
binning cut points.
A. True
B. False
Answer: A
Question 2:
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
Answer: A
Number of questions: 25
Time allowed in minutes: 60
Required passing score: 68%
Languages: English, Japanese
Business Understanding (5%)
Review the CRISP methodology
General Operations in Modeler (20%)
Build streams
Run streams
Read different types of files into Modeler
Data Understanding (30%)
Extent of missing data
Outliers
Field distribution and summary statistics
Auto checking for missing and out of bounds data
Bivariate relationships between variables
Data Preparation (40%)
Create new variables with the Derive Node
Create new variables with the Reclassify Node
Combine data files
Restructure data
Aggregate data
Remove duplicates
Sampling cases
Balance data
Data caching
Partitione data
Missing Value replacement
Modeling (5%)
Predictive models
Cluster models
Association models
NOTE: Business partners who take this exam are only expected to familiar with each class of model and the steps that are necessary to prepare the data prior creating the models in the software.
IBM Certified Associate - SPSS Modeler Data Analysis v2
Job Role Description / Target Audience
This certification is designed for Business Partners with a beginning knowledge of IBM SPSS Modeler version 14 or higher working in government, academia, or business who use the IBM SPSS Modeler product to perform data mining activities including data preparation, data understanding, and modeling.
The IBM Certified Associate - SPSS Modeler Data Analysis v2 may utilize the IBM SPSS Modeler product for applications such as fraud detection, customer management and churn, risk management, and so forth.
Question 1:
The optimal binning method in the Binning node uses a Supervisor field to determine the
binning cut points.
A. True
B. False
Answer: A
Question 2:
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
Answer: A
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