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[PDF] SAS Predictive Modeler (A00-255) Certification Exam

Click Here---> http://bit.ly/2Ro4ilh <---Get complete detail on A00-255 exam guide to crack SAS Enterprise Miner 14. You can collect all information on A00-255 tutorial, practice test, books, study material, exam questions, and syllabus. Firm your knowledge on SAS Enterprise Miner 14 and get ready to crack A00-255 certification. Explore all information on A00-255 exam with number of questions, passing percentage and time duration to complete test.

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[PDF] SAS Predictive Modeler (A00-255) Certification Exam

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  1. How to Prepare for SAS Predictive Modeler A00-255 Certification? A00-255 Certification Made Easy with AnalyticsExam.com.

  2. SAS A00-255 Exam Summary: SAS Predictive Modeling Using SAS Enterprise Miner 14 Exam Name A00-255 Exam Code 55-60 No. of Questions 725/1000 Passing Score 165 minutes Time Limit $250 (USD) Exam Fees SAS Predictive Modeler Certification Practice Exam Online Practice Test SAS Predictive Modeler Certification Sample Question Sample Questions Rise & Shine with AnalyticsExam.com

  3. SAS Predictive Modeler Syllabus Content: Syllabus Topics: Data Sources - 20-25% Building Predictive Models - 35-40% Predictive Model Assessment and Implementation - 25-30% Pattern Analysis - 10-15% Rise & Shine with AnalyticsExam.com

  4. SAS Predictive Modeler Training: Recommended Training: Applied Analytics Using SAS Enterprise Miner Rise & Shine with AnalyticsExam.com

  5. SAS Predictive Modeler Book: Recommended Book: Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications, Third Edition Rise & Shine with AnalyticsExam.com

  6. Tips to Prepare for A00-255 ● Understand the all Syllabus Topics. ● Perform SAS Predictive Modeler online test at AnalyticsExam.com. ● Identify your weak areas from SAS Predictive Modeler mock test and asses yourself frequently. Rise & Shine with AnalyticsExam.com

  7. SAS A00-255 Sample Questions Rise & Shine with AnalyticsExam.com

  8. Que.: 1 Which of the following is not true about results produced by the Regression node? Options: a) Model Information provides you with information that includes the number of target categories and the number of model parameters. b) Variable Summary information identifies the roles of variables used by the Regression node. c) Type 3 Analysis of Effects provides you with information about the number of parameters that each input contributes to the model. d) Fit Statistics can provide information that affects decision predictions, but does not affect estimate predictions. Rise & Shine with AnalyticsExam.com

  9. Answer: d) Fit Statistics can provide information that affects decision predictions, but does not affect estimate predictions. Rise & Shine with AnalyticsExam.com

  10. Que.: 2: 1. Create a project named Insurance, with a diagram named Explore. 2. Create the data source, DEVELOP, in SAS Enterprise Miner. DEVELOP is in the directory c:\workshop\Practice. 3. Set the role of all variables to Input, with the exception of the Target variable, Ins (1= has insurance, 0= does not have insurance). 4. Set the measurement level for the Target variable, Ins, to Binary. 5. Ensure that Branch and Res are the only variables with the measurement level of Nominal. 6. All other variables should be set to Interval or Binary. 7. Make sure that the default sampling method is random and that the seed is 12345. What is the mean credit card balance (CCBal) of the customers with a variable annuity? Options: a) $0.00 b) $8,711.65 c) $9,586.55 d) $11,142.45 Rise & Shine with AnalyticsExam.com

  11. Answer: c) $9,586.55 Rise & Shine with AnalyticsExam.com

  12. Que.: 3 Which of the following is not a good reason to”regularize” input distributions using a simple transformation? Options: a) Another benefit is ease in model interpretation. b) One benefit is improved model performance. c) When you perform regression, inputs with highly skewed or highly kurtotic distributions can be selected over inputs that would yield better overall predictions. d) Regression models are sensitive to extreme or outlying values in the input space. Rise & Shine with AnalyticsExam.com

  13. Answer: a) Another benefit is ease in model interpretation. Rise & Shine with AnalyticsExam.com

  14. Que.: 4 Which of the following solves problems for you when you impute missing values? Options: a) When you impute a synthetic value, it replaces missing values with 1 or 0. b) When you impute a synthetic value, it eliminates the incomplete case problem. c) When you impute a synthetic value, predictive information is retained. d) When you impute a synthetic value, each missing value becomes an input to the model. Rise & Shine with AnalyticsExam.com

  15. Answer: b) When you impute a synthetic value, it eliminates the incomplete case problem. Rise & Shine with AnalyticsExam.com

  16. Que.: 5 Which of the following sequential selection methods do you use so that SAS Enterprise Miner will look at all variables already included in the model and delete any variable that is not significant at the specified level? Options: a) Backward b) Forward c) Stepwise d) None Rise & Shine with AnalyticsExam.com

  17. Answer: d) None Rise & Shine with AnalyticsExam.com

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