IBM C2090-930 Certification Exam Syllabus

C2090-930 Syllabus, C2090-930 PDF Download, IBM C2090-930 Dumps, IBM SPSS Modeler Professional Dumps PDF Download, IBM Certified Specialist - SPSS Modeler Professional v3 PDF DownloadThis page is a one-stop solution for any information you may require for IBM Certified Specialist - SPSS Modeler Professional v3 (C2090-930) Certification exam. The IBM C2090-930 Exam Summary, Syllabus Topics and Sample Questions provide the base for the actual IBM SPSS Modeler Professional v3 exam preparation, we have designed these resources to help you get ready to take your dream exam.

The IBM Certified Specialist - SPSS Modeler Professional v3 credential is globally recognized for validating IBM SPSS Modeler Professional knowledge. With the IBM SPSS Modeler Professional v3 Certification credential, you stand out in a crowd and prove that you have the IBM SPSS Modeler Professional knowledge to make a difference within your organization. The IBM Certified Specialist - SPSS Modeler Professional v3 Certification (C2090-930) exam will test the candidate's knowledge on following areas.

IBM C2090-930 Exam Summary:

Exam Name IBM Certified Specialist - SPSS Modeler Professional v3
Exam Code C2090-930
Exam Duration 90 minutes
Exam Questions 60
Passing Score 67%
Exam Price $200 (USD)
Exam Registration Pearson VUE
Sample Questions IBM SPSS Modeler Professional Certification Sample Question
Practice Exam IBM SPSS Modeler Professional Certification Practice Exam

IBM C2090-930 Exam Topics:

Objective Details
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

The IBM has created this credential to assess the knowledge and understanding of a candidate in the area as above via the certification exam. The IBM SPSS Modeler Professional (C2090-930) Certification exam contains a high value in the market being the brand value of the IBM attached with it. It is highly recommended to a candidate to do a thorough study and also get a hand full of the practice to clear IBM Certified Specialist - SPSS Modeler Professional v3 exam without any hiccups.

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