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IBM 00M-229 Exam Syllabus Topics:

IBM SPSS Predictive Analytics Sales Mastery v1 Sample Questions:

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

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

2. 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) Complete statistics integration
B) In-database mining
C) Automatic data preparation
D) Auto clustering

3. What is the main purpose of segmentation algorithms in SPSS Modeler?

A) To discover linked purchases and other occurrences.
B) To reduce data to a simpler form.
C) To prepare a data set for optimal modeling.
D) To divide the market or customer base into groups.

4. A Chief Operations Officer of an insurance company is looking for a way to combine business rules and predictions to easily identify fraudulent claims. Which SPSS product best fits this description?

A) SPSS Data Collection
B) SPSS Collaboration and Deployment Services
C) SPSS Decision Management
D) SPSS Modeler

5. Which SPSS capability is best suited for a retailer looking to discover the most effective product combinations?

A) Predictive Maintenance
B) Campaign Insight and Offer Optimization
C) Market Basket Analysis
D) Customer Retention and Growth

Solutions: