SPSS IBMSPSSMPRO : IBM SPSS Modeler Professional Certification

IBMSPSSMPRO real exams

Exam Code: IBMSPSSMPRO

Exam Name: IBM SPSS Modeler Professional Certification

Updated: Sep 21, 2026

Q & A: 73 Questions and Answers

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About SPSS IBMSPSSMPRO Exam

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SPSS IBMSPSSMPRO Exam Syllabus Topics:

SectionWeightObjectives
Evaluation and Analysis15%- Validation methods
- Interpretation and visualization of results
- Model performance assessment
Business Understanding and Planning10%- Align business objectives to data mining goals
- CRISP-DM methodology
SPSS Modeler Professional Functionality10%- Node palettes and SuperNodes
- Scripting and automation
- Stream creation and management
Data Understanding15%- Explore and visualize data
- Identify data quality issues
Modeling20%- Clustering and segmentation models
- Association and sequence models
- Classification and regression models
- Auto-modeling and ensemble techniques
Data Preparation20%- Sampling, partitioning and balancing
- Data transformation and cleaning
- Data integration, merging and appending
- Filtering, aggregation and refinement
Deployment10%- Scoring new data
- Reporting and documentation
- Stream export and integration

SPSS IBM SPSS Modeler Professional Certification Sample Questions:

Question #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.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #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
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #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
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #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
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #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.
Reveal Solution  Discussion  0

Correct Answer: B,C  🗳️

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