SPSS IBMSPSSMPRO Q&A - in .pdf

  • IBMSPSSMPRO pdf
  • Exam Code: IBMSPSSMPRO
  • Exam Name: IBM SPSS Modeler Professional Certification
  • Updated: Sep 02, 2026
  • Q & A: 73 Questions and Answers
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  • Exam Code: IBMSPSSMPRO
  • Exam Name: IBM SPSS Modeler Professional Certification
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  • Updated: Sep 02, 2026
  • Q & A: 73 Questions and Answers
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  • Exam Code: IBMSPSSMPRO
  • Exam Name: IBM SPSS Modeler Professional Certification
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  • Q & A: 73 Questions and Answers
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SPSS IBMSPSSMPRO Exam Syllabus Topics:

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

SPSS IBM SPSS Modeler Professional Certification Sample Questions:

Question 1

Business objectives are the origin of every data mining solution.

A. True
B. False


Question 2

Which statement is correct regarding the sample node dialogue shown below?

A. It will select every 60th record from the data.
B. It will randomly select exactly 60% of all the record.
C. It will select approximately 60% of the records. This is, each record will have a 605 probability of being selected.
D. It will always draw the same 60% of records each time this sample node is run.


Question 3

The Feature Selection node is used for what reasons? (Select all that apply)

A. Ranks the model by importance.
B. Screens input fields for problems such as missing data.
C. Selects the best input fields for model.
D. Selects the best fitting model


Question 4

Assume you have a data file which has the first and last name (Called FIRST_NAME and LAST_NAME respectively). You would use a Derive node to create a field named FULL_NAME containing values with first name, space, last name. Which expression would produce the correct result?

A. FIRST_NAME + ** + LAST_NAME
B. FIRST_NAME ** ++ ** LAST_NAME
C. FIRST_NAME >< ** >< LAST_NAME
D. FIRST_NAME >< LAST_NAME


Question 5

Which statement is correct interpretation of the rule, "those that use less than or equal to
4.976 of LOCAL are predicted to be inVol "?

A. The accuracy of this cannot be determined
B. This rule does not exist.
C. The rule applies to 88 people and the confidence is 80.7%.
D. This rule was accurate 88 times which was 80.7% of the time.


Solutions:

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

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