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IBM M2020-229 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Sales Methodology for IBM SPSS | - Mapping solutions to business outcomes - Objection handling and value justification - Understanding customer pain points |
| Topic 2: Industry Applications | - Marketing optimization and campaign analytics - Risk management and fraud detection - Customer analytics and segmentation |
| Topic 3: IBM SPSS Use Cases | - Predictive modeling and forecasting scenarios - Operational decision-making support |
| Topic 4: IBM SPSS Predictive Analytics Overview | - Business value of predictive analytics - Introduction to IBM SPSS Predictive Analytics portfolio - Core capabilities of SPSS predictive solutions |
| Topic 5: Solution Positioning and Sales Strategy | - Value-based selling approach - Identifying customer use cases for predictive analytics - Positioning IBM SPSS against competing solutions |
IBM SPSS Predictive Analytics Sales Mastery v1 Sample Questions:
What is the main purpose of association algorithms in SPSS Modeler?
- A. To divide the market or customer base into groups.
- B. To reduce data to a simpler form.
- C. To prepare a data set for optimal modeling.
- D. To discover linked purchases and other occurrences.
Correct Answer: D 🗳️
What is the main capability of SPSS Statistics?
- A. Automation
- B. Analysis
- C. Collaboration
- D. Prediction
Correct Answer: B 🗳️
Which step comes directly before modeling in the CRISP-DM methodology?
- A. Model evaluation
- B. Business understanding
- C. Deployment
- D. Data preparation
Correct Answer: D 🗳️
Which statement is true about SPSS Text Analytics?
- A. It requires new users to build categories and dictionaries from scratch before it can be used.
- B. It allows users to import custom rules and categories.
- C. It supports over 100 languages.
- D. It confirms model accuracy.
Correct Answer: A 🗳️
What is the main purpose of SPSS Data Collection?
- A. To gather feedback from constituents for use in advanced and predictive analytics.
- B. To prepare messy data for more accurate modeling.
- C. To retrieve existing data stored from disparate sources.
- D. To integrate analytic results into business processes.
Correct Answer: A 🗳️



