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IBM SPSS Predictive Analytics Sales Mastery v1 Sample Questions:

1. What is NOT a key benefit of SPSS Statistics based on product feature/functionality?

A) Accessibility of mathematical principles.
B) Flexibility of multiple interfaces to key functions.
C) A comprehensive set of data mining tools.
D) Multiple deployment capabilities.

2. Which input is NOT used to define decisions within SPSS Decision Management?

A) Intuition
B) Business objectives
C) Human defined rules
D) System created predictive models

3. A customer wants to optimize their data for simpler, more accurate, and faster models. Which family of algorithms/techniques best meets their needs?

A) Classification
B) Reduction
C) Segmentation
D) Association

4. Which characteristic of SPSS Modeler appeals more to power data mining experts?

A) SPSS Statistics integration
B) Automated data preparation
C) No programming needed
D) Automated modeling

5. Which step comes directly before modeling in the CRISP-DM methodology?

A) Model evaluation
B) Data preparation
C) Business understanding
D) Deployment

Solutions: