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SPSS IBMSPSSMBPDM Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Modeling	20%	- CRISP-DM methodology - Applying data mining techniques
Topic 2: Business Understanding	15%
Topic 3: Data Understanding	20%
Topic 4: Data Preparation	30%	- General operations in SPSS Modeler - Deriving and reclassifying variables - Combining and restructuring data - Sampling, aggregating and cleaning data - Automated data preparation
Topic 5: Evaluation and Deployment	15%	- Interpreting and exporting results - Model assessment

SPSS IBM SPSS Modeler - Business Partner Data Mining Associate Sample Questions:

1. True or false: the Feature Selection node adds a Model Nugget to the stream.

A) False
B) True

2. True or false: given the information in the Data Audit Quality table below, the generated Filter node will exclude only the fields logwire, logequi, logtoll, and logcard.