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C2020-010 IBM Certification Test - IBM SPSS Modeler Professional v2

Author: Rhys John
by Rhys John
Posted: Dec 17, 2014

Give any of the desired IBM certification exams, clear them and get the reward of an ever green career. To become certified specialist for the IBM SPSS Modeler Professional v2, interested candidates are needed to clear C2020-010 exam. The eligible candidates for this exam are individuals having familiarity and understanding about SPSS Modeler version 14 or if they work in any government or academic sector where IBM SPSS Modeler products are used for performing data mining tasks. Once you clear the exam and become IBM SPSS Modeler Professional v2 expert, you can without any struggle make use of all the relevant products for a variety of popular solutions like customer administration, fraud detection and risk management application.

Certification Exam:

Number of exam questions summing up the C2020-010, IBM SPSS Modeler Professional v2 certification exam is 55. The candidates are allowed to answer multiple choice test questions in the duration of an hour and thirty minutes, the minimum score needed to be obtained by the candidates to clear C2020-010 is 67%.

Test Material:

It is very crucial to know inclusively and specifically about the test competency areas. C2020-010 certification exam consists of 6 domains. The domains include Deployment of Result and it weighs 5% of the total test material, Evaluation of Results which is 10% of the total test, Modeling that comprises of the total of 20%, Data Preparation which covers 35% of the test, Data Understanding which is 25% and Business Understanding which has the weightage of 5% of the total C2020-010, IBM SPSS Modeler Professional v2 exam.

Insight into the Domains:

The domain of Business Understanding covers competency areas of CRISP-DM methodology, objectives of business, identification and their translations to data mining goal. The section of Data Understanding covers how to use data visualization, graph nodes along with data reading from various sources – Source nodes. Understanding the distribution and summary statistics plus relationship among the variables is also included herein. Analyzing the data quality issues, outliers and anomalies like Anomaly node is also part of this domain. Data Preparation section complies merging datasets through Merge and Append nodes, deriving new fields, using the select nodes, datasets aggregation, sampling, balancing and restricting and also methods to shrink dataset dimensionality.

Moreover, it entails the understanding of SQL pushback and application of data caching and also techniques for missing value replacement. Test domain ‘Modeling’ covers knowledge relating dataset partition, which models to be used for sets or binary outcomes, numeric outcomes plus model types as well as the basic operation. It also covers parts of auto modeling nodes and combines models utilizing the Ensemble node. C2020-010 exam questions taken from Evaluation of Result section of C2020-010, IBM SPSS Modeler Professional v2exam questions revolves around analysis node utilization, evaluation charts production and interpretation. It also incorporates Generated Model Nuggets analysis and interpreting the model results through data visualization charts and classification tablets. ‘Deployment of Result’ section is all about the way to use Export nodes, scoring fresh data through generated models and knowing the monitoring of deployed models.

Conclusion:

To conclude and to come to a point, if you want to be up on the mark, become a start and lead of the whole crowd, then passing the C2020-010 certification test paper through the guaranteed C2020-010 study material will without any doubt make you achieve your wish.

Get your future secure by passing C2020-010 Practice Test and C2010-568 Training Material with CertifyGuide latest preparation material.

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Road to the achievement by using our latest and workable study material regarding 70-466 Practice Test and 70-469 Pdf Questions.

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Author: Rhys John

Rhys John

Member since: Nov 20, 2014
Published articles: 205

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