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SPSS IBMSPSSMBPDM Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Model Evaluation and Validation | - Performance metrics - Model comparison and selection |
| Topic 2: Modeling Techniques | - Regression and clustering methods - Classification models |
| Topic 3: IBM SPSS Modeler Environment | - Data flow and node usage - Interface and stream design |
| Topic 4: Model Deployment | - Operationalizing predictive models - Scoring and deployment workflows |
| Topic 5: CRISP-DM Methodology | - Phases of CRISP-DM - Application in SPSS Modeler workflows |
| Topic 6: Data Mining Fundamentals | - Core concepts of data mining - Business understanding and analytics objectives |
| Topic 7: Data Preparation | - Feature selection and preprocessing - Data cleaning and transformation |
SPSS IBM SPSS Modeler - Business Partner Data Mining Associate Sample Questions:
Question 1
What will occur if the deployment data has a very different range than the data that was used in modeling?
A. The model may overpredict or underpredict.
B. The model will overpredict.
C. The model will underpredict.
D. The model nugget will automatically nullify those cases that are out of range .075.
Question 2
Examine the Data Audit output shown below.
What action will occur in a generated Outlier & Extreme Supernode for HOLCOST?
A. Ten records will be set to the system missing (null) value for HOLCOST.
B. Nine records will be deleted.
C. Ten records will be deleted.
D. Nine records will be set to the system missing (null) value for HOLCOST.
Question 3
Which node is used to read data from a comma delimited text file?
A. Statistics File
B. Data Collection
C. Fixed File
D. Var. File
Solutions:
| Question 1 Answer: A | Question 2 Answer: C | Question 3 Answer: D |
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