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IBM M2020-229 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Industry Applications | - Marketing optimization and campaign analytics - Customer analytics and segmentation - Fraud detection and risk analysis |
| IBM SPSS Predictive Analytics Overview | - Core capabilities and product positioning - Business value of predictive analytics in enterprises - Introduction to IBM SPSS predictive analytics solutions |
| Sales Methodology for IBM SPSS Solutions | - Value-based selling and objection handling - Customer pain point identification - Solution mapping to business outcomes |
| Predictive Analytics Use Cases | - Decision support and operational optimization - Forecasting and predictive modeling |
| Sales Positioning and Value Proposition | - Competitive positioning and differentiation - Identifying customer use cases and requirements - Mapping IBM SPSS solutions to business problems |
IBM SPSS Predictive Analytics Sales Mastery v1 Sample Questions:
Question #1
Which statement is true about SPSS Modeler Premium?
A. It addresses all but one of the phases in the CRISP-DM methodology.
B. It requires no programming experience to use.
C. It leverages unstructured data only.
D. It leverages structured data only.
Question #2
According to an independent study, what percentage of SPSS Modeler customers achieved a positive return on investment?
A. 47%
B. 24%
C. 12%
D. 94%
Question #3
Which step comes directly before modeling in the CRISP-DM methodology?
A. Deployment
B. Model evaluation
C. Business understanding
D. Data preparation
Question #4
Which SPSS product best meets the needs of a customer looking to automate model building or share and protect analytical assets?
A. SPSS Statistics
B. SPSS Collaboration and Deployment Services
C. SPSS Modeler
D. SPSS Data Collection
Question #5
Which message is the most important for a sales representative to deliver when selling SPSS Collaboration and Deployment Services (C&DS) to a line of business user?
A. C&DS increases the reliability of analytical results.
B. C&DS integrates with the existing enterprise environment.
C. Automation and collaboration lead to enhanced productivity from analysts.
D. IT can monitor and control C&DS processes without having to know analytic details.
Solutions:
| Question #1 Correct Answer: B | Question #2 Correct Answer: D | Question #3 Correct Answer: D | Question #4 Correct Answer: B | Question #5 Correct Answer: B |
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