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IBM M2020-229 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Predictive Analytics Use Cases | - Forecasting and predictive modeling - Decision support and operational optimization |
| Topic 2: Industry Applications | - Marketing optimization and campaign analytics - Fraud detection and risk analysis - Customer analytics and segmentation |
| Topic 3: IBM SPSS Predictive Analytics Overview | - Core capabilities and product positioning - Introduction to IBM SPSS predictive analytics solutions - Business value of predictive analytics in enterprises |
| Topic 4: Sales Positioning and Value Proposition | - Competitive positioning and differentiation - Mapping IBM SPSS solutions to business problems - Identifying customer use cases and requirements |
| Topic 5: Sales Methodology for IBM SPSS Solutions | - Value-based selling and objection handling - Solution mapping to business outcomes - Customer pain point identification |
IBM SPSS Predictive Analytics Sales Mastery v1 Sample Questions:
Question 1
What is the main purpose of SPSS Data Collection?
A. To prepare messy data for more accurate modeling.
B. To gather feedback from constituents for use in advanced and predictive analytics.
C. To integrate analytic results into business processes.
D. To retrieve existing data stored from disparate sources.
Question 2
What is a key focus area for telecommunications companies considering a predictive analytics solution?
A. Supply chain optimization
B. Operational uptime
C. Public safety and security
D. Churn reduction
Question 3
Which pain point of business executives is best addressed by SPSS Decision Management?
A. The need to react quickly to market changes.
B. Rapidly increasing marketing costs.
C. Regulatory compliance.
D. Inability to automate routine analytics tasks.
Question 4
Which input is NOT used to define decisions within SPSS Decision Management?
A. Intuition
B. Human defined rules
C. System created predictive models
D. Business objectives
Question 5
A marketing department is looking to divide up their customer base in order to more effectively target each group. Which feature of SPSS Modeler best meets their needs?
A. In-database mining
B. Auto clustering
C. Automatic data preparation
D. Complete statistics integration
Solutions:
| Question 1 Answer: B | Question 2 Answer: D | Question 3 Answer: D | Question 4 Answer: A | Question 5 Answer: A |

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