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IBM C2090-930 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Describe sampling, partitioning, and balancing data
  • Describe the use of SuperNodes
Topic 2
  • Describe how to use model nugget interfaces
  • Describe the CRISP-DM process
Topic 3
  • Demonstrate how to combine models using the Ensemble node
  • SPSS Modeler Professional Functionality
Topic 4
  • Describe classification models, segmentation models, association models, auto modeling nodes
Topic 5
  • Describe the advantages of SPSS Modeler scripting
  • Describe methods for data transformation
Topic 6
  • Describe methods for refining data
  • Identify how to score new data using models
Topic 7
  • Describe how to integrate data
  • Describe appropriate nodes for summary statistics
Topic 8
  • Demonstrate how to interpret SPSS Modeler results
  • Business Understanding and Planning
Topic 9
  • Describe how to use Export nodes (tools for exporting data)
  • Identify the purpose of each palette

Reference: https://www-03.ibm.com/certify/exam.html?id=C2090-930

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