Exam Objectives:
The IBM C2090-930 IBM SPSS Modeler Professional v3 exam is designed to test a candidate's knowledge and skills in using IBM SPSS Modeler software to build predictive models and carry out data analysis. The exam covers the following topics:
- Modeling techniques and algorithms
- Data preparation and data management
- Model assessment and evaluation
- Automation and deployment of models
- Project creation and configuration
The exam objectives are to:
- Understand the key features and capabilities of IBM SPSS Modeler software.
- Understand the basic principles of predictive modeling and data analysis.
- Be able to prepare and manage data for modeling.
- Be able to apply modeling techniques and algorithms to build predictive models.
- Be able to evaluate and assess the performance of predictive models.
- Be able to deploy and automate predictive models for use in real-world scenarios.
- Be able to create and configure projects in IBM SPSS Modeler.
Exam Details:
The IBM C2090-930 IBM SPSS Modeler Professional v3 exam is a computer-based test that consists of 60 multiple-choice questions. The exam must be completed within 90 minutes, and the passing score is 65%. The exam can be taken at an authorized Pearson VUE testing center or online via Pearson VUE's OnVUE platform. The cost of the exam is $200 USD.
Related Books:
There are several books available that can help candidates prepare for the IBM C2090-930 IBM SPSS Modeler Professional v3 exam. Some of the recommended books include:
- IBM SPSS Modeler Cookbook by Keith McCormick, Dean Abbott, and Meta S. Brown
- IBM SPSS Modeler Essentials: A Comprehensive Guide to Machine Learning with IBM SPSS Modeler by Jesus Salcedo
- IBM SPSS Modeler: Getting Started by IBM Redbooks
These books cover the key topics and concepts tested in the exam and provide practical examples and exercises to help candidates build their skills and knowledge of IBM SPSS Modeler.
To prepare for the IBM C2090-930 IBM SPSS Modeler Professional v3 exam, candidates should study the exam objectives and use a combination of self-study resources, such as books and online courses, as well as hands-on practice with the software. Candidates can also take advantage of IBM's training and certification program, which offers a range of courses and resources to help candidates build their skills and prepare for the exam.