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SPSS IBMSPSSMBPDM Exam Syllabus Topics:

Section	Objectives
Evaluation	- Model assessment 1. Business relevance validation 2. Accuracy and performance metrics
Data Understanding	- Initial data exploration 1. Descriptive statistics and distributions 2. Data quality assessment
Data Preparation	- Data cleaning and transformation 1. Data integration and sampling 2. Handling missing values and outliers 3. Field derivation and transformation
Deployment	- Model deployment and application 1. Reporting and decision integration 2. Operationalizing predictive models
Modeling	- Predictive modeling techniques 1. Clustering and segmentation 2. Classification models 3. Model training in IBM SPSS Modeler
Business Understanding	- Define business objectives and data mining goals 1. CRISP-DM methodology overview 2. Translate business problems into analytical objectives

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

1. Given the Type node shown below, what specifications are necessary to change all values outside the range 1 to 15 in field dropped_calls to the undefined ($null$) value?

A) Pass Values and Check action Nullify
B) Read Values and Check action Warn
C) Specify Values Lower 1 and Upper 15 and Check action Nullify
D) Specify Values Lower 1 and Upper 15 and Check action Discard

2. True or false: in the stream below

, the CHAID node and Neural Net node can be combined in a single Supernode.