Full Name: IBM Certified Specialist - SPSS Modeler Professional v3
Exam Code: C2090-930
IBM C2090-930 Exam Summary:
Exam Name
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IBM Certified Specialist - SPSS Modeler Professional v3
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Exam Code
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C2090-930
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Exam Price
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$200 (USD)
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Duration
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90 mins
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Number of Questions
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60
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Passing Score
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67%
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Sample Questions
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Practice Exam
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IBM C2090-930 Exam Topics:
| Topic(Weights) | 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 |
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