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IBM 00M-229 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: IBM SPSS Predictive Analytics Overview | - Core capabilities of SPSS predictive solutions - Introduction to IBM SPSS Predictive Analytics portfolio - Business value of predictive analytics |
| Topic 2: Industry Applications | - Customer analytics and segmentation - Risk management and fraud detection - Marketing optimization and campaign analytics |
| Topic 3: Sales Methodology for IBM SPSS | - Mapping solutions to business outcomes - Understanding customer pain points - Objection handling and value justification |
| Topic 4: IBM SPSS Use Cases | - Predictive modeling and forecasting scenarios - Operational decision-making support |
| Topic 5: Solution Positioning and Sales Strategy | - Identifying customer use cases for predictive analytics - Value-based selling approach - Positioning IBM SPSS against competing solutions |
IBM SPSS Predictive Analytics Sales Mastery v1 Sample Questions:
Which type of model in SPSS Modeler is BEST suited for making categorical predictions of future outcomes?
- A. Association
- B. Anomaly detection
- C. Classification
- D. Segmentation
Correct Answer: C 🗳️
Which input is NOT used to define decisions within SPSS Decision Management?
- A. Business objectives
- B. Intuition
- C. Human defined rules
- D. System created predictive models
Correct Answer: B 🗳️
Which statement is true about SPSS Text Analytics?
- A. It supports over 100 languages.
- B. It allows users to import custom rules and categories.
- C. It confirms model accuracy.
- D. It requires new users to build categories and dictionaries from scratch before it can be used.
Correct Answer: D 🗳️
The user interface and capabilities of SPSS Decision Management are best suited for which type of user?
- A. Line of business manager
- B. Executive
- C. Researcher
- D. Analyst
Correct Answer: A 🗳️
Which characteristic of SPSS Modeler appeals more to power data mining experts?
- A. SPSS Statistics integration
- B. No programming needed
- C. Automated modeling
- D. Automated data preparation
Correct Answer: C 🗳️



