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SPSS IBM SPSS Modeler Professional Certification : IBMSPSSMPRO

IBMSPSSMPRO

Exam Code: IBMSPSSMPRO

Exam Name: IBM SPSS Modeler Professional Certification

Updated: Sep 26, 2026

Q & A: 73 Questions and Answers

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

Question #1
Which of the following is not a part of Business Understanding phase of the CRISP-DM (Cross industry Standard Process for Data Mining) Methodology?

A. Producing a project Plan
B. Determining Data Mining Goals
C. Determining Business Objectives
D. Initial Data Collection


Question #2
Missing values can be specified in the Source node used to read the data or in the type node.

A. True
B. False


Question #3
When using the algorithm method to replace missing values in data audit output, which algorithm is used?

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


Question #4
The Feature Selection node is used for what reasons? (Select all that apply)

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


Question #5
Using the Linear node, what are the advantages of creating a standard model without boosting or bagging? (Select all that apply)

A. Higher accuracy
B. Easier interpretation
C. Faster to score
D. None of the above


Solutions:

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

IBMSPSSMPRO Related Exams
IBMSPSSMBPDM - IBM SPSS Modeler - Business Partner Data Mining Associate Exam
IBMSPSSMBPDA - IBM SPSS Modeler - Business Partner Data Analyst Associate Exam
Related Certifications
SPSS Certification
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