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C2090-930 Exam Format | C2090-930 Course Contents | C2090-930 Course Outline | C2090-930 Exam Syllabus | C2090-930 Exam Objectives

C2090-930 Exam Information and Guideline

IBM SPSS Modeler Professional v3



Below are complete topics detail with latest syllabus and course outline, that will help you good knowledge about exam objectives and topics that you have to prepare. These contents are covered in questions and answers pool of exam.





Exam Name : IBM Certified Specialist - SPSS Modeler Professional v3

Exam Code : C2090-930

Number of questions: 60

Number of questions to pass: 40

Time allowed: 90 mins

Status: Live



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

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