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IBM M2020-229 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| 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 Overview | - Core capabilities and product positioning - Introduction to IBM SPSS predictive analytics solutions - Business value of predictive analytics in enterprises |
| Sales Methodology for IBM SPSS Solutions | - Value-based selling and objection handling - Customer pain point identification - Solution mapping to business outcomes |
| Industry Applications | - Marketing optimization and campaign analytics - Fraud detection and risk analysis - Customer analytics and segmentation |
| Predictive Analytics Use Cases | - Decision support and operational optimization - Forecasting and predictive modeling |
IBM SPSS Predictive Analytics Sales Mastery v1 Sample Questions:
Question 1
What is a key focus area for telecommunications companies considering a predictive analytics solution?
A. Supply chain optimization
B. Churn reduction
C. Operational uptime
D. Public safety and security
Question 2
Which statement is true about SPSS Data Collection?
A. It requires SPSS Collaboration and Deployment Services in order to deliver surveys.
B. Surveys and reports can be published in many different languages.
C. It requires separate surveys to be created for each delivery method.
D. It runs exclusively in a Web browser.
Question 3
What is the main purpose of association algorithms in SPSS Modeler?
A. To divide the market or customer base into groups.
B. To prepare a data set for optimal modeling.
C. To reduce data to a simpler form.
D. To discover linked purchases and other occurrences.
Question 4
Which type of model in SPSS Modeler is BEST suited for making categorical predictions of future outcomes?
A. Association
B. Segmentation
C. Classification
D. Anomaly detection
Question 5
Which SPSS capability is best suited for a retailer looking to discover the most effective product combinations?
A. Customer Retention and Growth
B. Campaign Insight and Offer Optimization
C. Market Basket Analysis
D. Predictive Maintenance
Solutions:
| Question 1 Answer: B | Question 2 Answer: B | Question 3 Answer: D | Question 4 Answer: C | Question 5 Answer: C |
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