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IBM C2090-930 Exam Overview :

Exam Name IBM SPSS Modeler Professional v3
Exam Code C2090-930
Actual Exam Duration 90 minutes
Expected no. of Questions in Actual Exam 60
Official Information https://www-03.ibm.com/certify/exam.html?id=C2090-930
See Expected Questions IBM C2090-930 Expected Questions in Actual Exam
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IBM C2090-930 Exam Topics :

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

Updates in the IBM C2090-930 Exam Syllabus:

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