IBM C2090-013 Certification Exam Syllabus

 alt=This page is a one-stop solution for any information you may require for IBM Certified Associate - SPSS Modeler Data Mining v2 (C2090-013) Certification exam. The IBM C2090-013 Exam Summary, Syllabus Topics and Sample Questions provide the base for the actual IBM SPSS Modeler Data Mining for Business Partners v2 exam preparation, we have designed these resources to help you get ready to take your dream exam.

The IBM Certified Associate - SPSS Modeler Data Mining v2 credential is globally recognized for validating IBM SPSS Modeler Data Mining knowledge. With the IBM SPSS Modeler Data Mining for Business Partners v2 Certification credential, you stand out in a crowd and prove that you have the IBM SPSS Modeler Data Mining knowledge to make a difference within your organization. The IBM Certified Associate - SPSS Modeler Data Mining v2 Certification (C2090-013) exam will test the candidate's knowledge on following areas.

IBM C2090-013 Exam Summary:

Exam Name IBM Certified Associate - SPSS Modeler Data Mining v2
Exam Code C2090-013
Exam Duration 60 minutes
Exam Questions 25
Passing Score 64%
Exam Price $200 (USD)
Training Introduction to IBM SPSS Modeler and Data Mining (V16)
Automated Data Mining with IBM SPSS Modeler - ILT
Books & References Advanced Data Preparation with IBM SPSS Modeler - Using Functions
Advanced Data Preparation using IBM SPSS Modeler - Data Transformations
Exam Registration PearsonVUE
Sample Questions IBM SPSS Modeler Data Mining Certification Sample Question
Practice Exam IBM SPSS Modeler Data Mining Certification Practice Exam

IBM C2090-013 Exam Topics:

Objective Details
Business Understanding (8%)
- Review of the CRISP methodology
- General Operations in Modeler (20%)
- Building streams
- Running streams
- Reading different types of files into Modeler
Data Understanding (20%)
- Extent of missing data
- Outliers
- Field distribution and summary statistics
- Auto-checking for missing or out-of-bounds data
- Looking at bivariate relationships between variables
Data Preparation (28%)
- Automated data preparation
- Creating new variables with the Derive Node
- Creating new variables with the Reclassify Node
- Combining data files
- Restructuring data
- Aggregating data
- Removing duplicates
- Sampling cases
- Balancing data
- Data caching
- Partitioning data
- Missing value replacement
Modeling (16%)
- Auto classifier
- Auto numeric
Deployment (8%)
- Scoring new data with a deployed model
- Exporting model results

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 Data Mining (C2090-013) 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 Associate - SPSS Modeler Data Mining v2 exam without any hiccups.

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