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Exam Code: IBMSPSSMPRO
Exam Name: IBM SPSS Modeler Professional Certification
Updated: Aug 07, 2026
Q & A: 73 Questions and Answers
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| Section | Weight | Objectives |
|---|---|---|
| Data Understanding | 15% | - Explore and visualize data - Identify data quality issues |
| Evaluation and Analysis | 15% | - Validation methods - Interpretation and visualization of results - Model performance assessment |
| Modeling | 20% | - Clustering and segmentation models - Association and sequence models - Classification and regression models - Auto-modeling and ensemble techniques |
| Deployment | 10% | - Scoring new data - Reporting and documentation - Stream export and integration |
| Business Understanding and Planning | 10% | - Align business objectives to data mining goals - CRISP-DM methodology |
| Data Preparation | 20% | - Sampling, partitioning and balancing - Data transformation and cleaning - Data integration, merging and appending - Filtering, aggregation and refinement |
| SPSS Modeler Professional Functionality | 10% | - Node palettes and SuperNodes - Scripting and automation - Stream creation and management |
1. To score new data using an existing model, the user must:
A) Not change the data source and develop a new model for that data.
B) Change the data source and rename the fields so they do not match the names of the fields in original file.
C) Change the data source and develop a new model for that data.
D) Change the data source and rename the fields as needed to match the names of the in original file.
2. Which Source node would you use to read text from a free field (delimited) text file?
A) Fixed File node
B) Data Collection node
C) Var. File node
D) Enterprise View node
3. The set Random seed option on the sample node is required if you want to draw the same random sample with the same records more than once.
A) True
B) False
4. Consider the output from the analysis node.
For the training data set, the Neutral Net and the C5 model make the same prediction:
A) 87.79% of the time.
B) 92.77% of the time
C) 87.62% of the time
D) 93.80% of the time
5. Which statements are true of the Feature Selection node? (Select all that apply)
A) The Input fields can only be continuous measurement.
B) The Target fields can be either categorical or continuous measurement.
C) Input fields can be selected on the basis or importance.
D) When a target field is not specified then it will create a generalized output.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: B,C |
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