SPSS IBM SPSS Modeler Professional Certification : IBMSPSSMPRO

IBMSPSSMPRO real exams

Exam Code: IBMSPSSMPRO

Exam Name: IBM SPSS Modeler Professional Certification

Updated: Aug 28, 2026

Q & A: 73 Questions and Answers

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SPSS IBMSPSSMPRO Exam Syllabus Topics:

SectionWeightObjectives
Deployment- Implement analytical solutions
  • 1. Generate and communicate results
  • 2. Deploy models into business processes
  • 3. Score new data
Evaluation- Assess model performance
  • 1. Interpret evaluation metrics
  • 2. Compare candidate models
  • 3. Validate predictive accuracy
Modeling- Build predictive models
  • 1. Neural network models
  • 2. Association and sequence models
  • 3. Decision tree models
  • 4. Regression models
  • 5. Clustering and segmentation
Data Preparation- Prepare data for modeling
  • 1. Aggregate and restructure records
  • 2. Derive and reclassify fields
  • 3. Transform and bin variables
  • 4. Import and export data
  • 5. Sample and filter data
  • 6. Merge and append datasets
Data Understanding- Explore and assess data
  • 1. Detect missing or invalid values
  • 2. Identify field types and measurement levels
  • 3. Audit data quality
Business Understanding and Planning10%- Business objectives
  • 1. Define business problems
  • 2. Plan analytical projects
  • 3. Apply CRISP-DM methodology

SPSS IBM SPSS Modeler Professional Certification Sample Questions:

Question 1

Suppose you wanted to select only the records with complete data on all the fields for analysis and generate a Select node to perform that operation. Which other node should you use to generate the Select node?

A. Filler node
B. Derive node
C. Filter node
D. Data Audit node


Question 2

In order to make decision Tree models more general, avoid over filtering, and make the trees complex, what would you need to change in the dialogue box? (Select all that apply)

A. Increase the Minimum records per child branch
B. Increase the pruning severity
C. Decrease the Minimum records per child branch
D. Decrease the pruning severity


Question 3

Summary statistics, such as mean, minimum, maximum, and standard deviation, are available in which of following nodes? (Select all that apply)

A. Statistics node
B. Data Audit node
C. Table node
D. Sample node


Question 4

Missing values can be specified in the Source node used to read the data or in the type node.

A. False
B. True


Question 5

When using the algorithm method to replace missing values in data audit output, which algorithm is used?

A. C5.0
B. Neural Net
C. C & RT
D. Cox Regression


Solutions:

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

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