ActualPDF Actual and Updated SASInstitute A00-255 PDF Questions

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SASInstitute A00-255 (SAS Predictive Modeling Using SAS Enterprise Miner 14) Certification Exam is a globally recognized certification that validates the knowledge and skills of candidates in the field of predictive modeling using SAS Enterprise Miner 14. SAS Predictive Modeling Using SAS Enterprise Miner 14 certification exam is designed for data analysts, statisticians, and IT professionals who want to enhance their proficiency in predictive modeling and data analytics using SAS Enterprise Miner 14.

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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q43-Q48):

NEW QUESTION # 43
What is the kurtosis value for the variable TLDel60Cnt24?
Response:

  • A. 17 or higher
  • B. less than 10
  • C. between 10 and 13.99
  • D. between 14 and 16.99

Answer: D


NEW QUESTION # 44
You are building a model for a marketing campaign. Every responder to the campaign solicitation will generate $471 in gross revenue. The average cost per solicitation is $66. Incorporating the above information in a decision matrix, what would be the decision threshold (probability cutoff) generated in your model?
You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:

  • A. 0.86
  • B. 0.20
  • C. 0.16
  • D. 0.14

Answer: D


NEW QUESTION # 45
Assume you have two equally appealing logistic regression models. Then, if you have to select only one out of these two models, you should select the one that has which of the following?
Response:

  • A. higher value of AIC (Akaike,s information criterion)
  • B. smaller value of SBC (Schwarz,s Bayesian criterion)
  • C. all of the above
  • D. smaller value of gamma

Answer: B


NEW QUESTION # 46
Transformation of input variables to make their distributions more symmetric will likely have what impact in a logistic regression?
Select one:
Response:

  • A. increase the performance of logistic regression
  • B. neither increase nor decrease the performance of logistic regression
  • C. create convergence problems in maximum likelihood estimation
  • D. decrease the performance of logistic regression

Answer: A


NEW QUESTION # 47
The number of neurons in this Neural Network model is which of the following:
Response:

  • A. 4 or more
  • B. 0
  • C. 1
  • D. 2

Answer: D


NEW QUESTION # 48
......

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