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IBM M2020-229 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Sales Positioning and Value Proposition | - Identifying customer use cases and requirements - Competitive positioning and differentiation - Mapping IBM SPSS solutions to business problems |
| IBM SPSS Predictive Analytics Overview | - Introduction to IBM SPSS predictive analytics solutions - Business value of predictive analytics in enterprises - Core capabilities and product positioning |
| Sales Methodology for IBM SPSS Solutions | - Value-based selling and objection handling - Solution mapping to business outcomes - Customer pain point identification |
| Industry Applications | - Marketing optimization and campaign analytics - Customer analytics and segmentation - Fraud detection and risk analysis |
| Predictive Analytics Use Cases | - Decision support and operational optimization - Forecasting and predictive modeling |
IBM SPSS Predictive Analytics Sales Mastery v1 Sample Questions:
1. Which statement is true about SPSS Modeler Premium?
A) It requires no programming experience to use.
B) It leverages structured data only.
C) It leverages unstructured data only.
D) It addresses all but one of the phases in the CRISP-DM methodology.
2. An enterprise customer wants to generate scores on demand. Which feature in SPSS Collaboration and Deployment Services best meets their needs?
A) Real time scoring service
B) Message-based notification
C) Custom dialog publication
D) Job parameters
3. Which statement is true about SPSS Data Collection?
A) It requires SPSS Collaboration and Deployment Services in order to deliver surveys.
B) It requires separate surveys to be created for each delivery method.
C) Surveys and reports can be published in many different languages.
D) It runs exclusively in a Web browser.
4. What is the main purpose of segmentation algorithms in SPSS Modeler?
A) To divide the market or customer base into groups.
B) To reduce data to a simpler form.
C) To discover linked purchases and other occurrences.
D) To prepare a data set for optimal modeling.
5. What is a key focus area for telecommunications companies considering a predictive analytics solution?
A) Churn reduction
B) Supply chain optimization
C) Public safety and security
D) Operational uptime
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: A | Question # 5 Answer: A |








