SPSS IBMSPSSMPRO exam dumps - IBM SPSS Modeler Professional Certification

  • Exam Code: IBMSPSSMPRO
  • Exam Name: IBM SPSS Modeler Professional Certification
  • Updated: Aug 04, 2026     Q & A: 73 Questions and Answers

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SPSS IBMSPSSMPRO Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Business Understanding and Planning10%- Align business objectives to data mining goals
- CRISP-DM methodology
Topic 2: Evaluation and Analysis15%- Validation methods
- Interpretation and visualization of results
- Model performance assessment
Topic 3: Data Understanding15%- Identify data quality issues
- Explore and visualize data
Topic 4: SPSS Modeler Professional Functionality10%- Stream creation and management
- Node palettes and SuperNodes
- Scripting and automation
Topic 5: Modeling20%- Association and sequence models
- Clustering and segmentation models
- Auto-modeling and ensemble techniques
- Classification and regression models
Topic 6: Deployment10%- Scoring new data
- Stream export and integration
- Reporting and documentation
Topic 7: Data Preparation20%- Sampling, partitioning and balancing
- Data transformation and cleaning
- Filtering, aggregation and refinement
- Data integration, merging and appending

SPSS IBM SPSS Modeler Professional Certification Sample Questions:

1. Which node allows you to choose from many different graph types (tar charts, attempts, hampers) in the single node?

A) Collection node
B) Evaluation node
C) Multiple node
D) Graphboard node


2. Looking at the gains chart shown below, which model has a higher level of accuracy when predicting Churn = "Y"?

A) The structured data model
B) Predictive accuracy cannot be determined from this gains chart
C) The models are equivalent
D) The structured and unstructured data model


3. In IBM SPSS Modeler modeling nodes, the option to build split models refers to building a separate model for each possible value of input fields that are defined as split role.

A) True
B) False


4. Which node is best suited for revealing relationships between continuous and categorical (nominal, ordinal) fields?

A) Means node
B) Statistics node
C) Table node
D) Distribution node


5. Consider the Filer node where age of respondent is stored as a string. What operations will the replace with: expression accomplishes?

A) Users @ FIELD to create a new field.
B) Converts numeric values to integers and leaves the non-numeric as is.
C) Converts numeric values to integers and converts non-numeric values to $null$ value.
D) The expression is not a valid operation.


Solutions:

Question # 1
Answer: D
Question # 2
Answer: D
Question # 3
Answer: B
Question # 4
Answer: A
Question # 5
Answer: C

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