IBM C2090-930 Exam Topics

IBM C2090-930 Exam Overview :

Exam Name:	IBM SPSS Modeler Professional v3
Exam Code:	C2090-930
Certifications:	IBM Certified Specialist - SPSS Modeler Professional v3 Certification
Actual Exam Duration:	90 minutes
Expected no. of Questions in Actual Exam:	60
See Expected Questions:	IBM C2090-930 Expected Questions in Actual Exam

IBM C2090-930 Exam Objectives :

Section	Weight	Objectives
SPSS Modeler Professional Functionality	10%	Identify the purpose of each palette Describe the use of SuperNodes Describe the advantages of SPSS Modeler scripting
Business Understanding and Planning	10%	Describe the CRISP-DM process Describe how to map business objectives to data mining goals
Data Understanding	15%	Describe appropriate nodes for summary statistics, distributions, and visualizations (for example, graph nodes, output nodes) Describe data quality issues (for example, outliers and missing data)
Data Preparation	20%	Describe methods for data transformation (for example, Derive node, Auto Data Prep node, Data Audit node and Filler node) Describe how to integrate data (for example, Merge node and Append node) Describe sampling, partitioning, and balancing data (for example, Sample node, Balance node and Partition node) Describe methods for refining data (for example, Select node, Filter node and Aggregate node)
Modeling	20%	Describe classification models (including GLM and regression) Describe segmentation models Describe association models Describe auto modeling nodes Demonstrate how to combine models using the Ensemble node
Evaluation and Analysis	15%	Demonstrate how to interpret SPSS Modeler results (for example, using Evaluation node, Analysis node, and data visualizations) Describe how to use model nugget interfaces
Deployment	10%	Describe how to use Export nodes (tools for exporting data) Identify how to score new data using models Identify SPSS Modeler reporting methods
Official Information		https://www-03.ibm.com/certify/exam.html?id=C2090-930

Updates in the IBM C2090-930 Exam Topics:

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