A00-255 PASSING SCORE, A00-255 PRACTICE ENGINE

A00-255 Passing Score, A00-255 Practice Engine

A00-255 Passing Score, A00-255 Practice Engine

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Tags: A00-255 Passing Score, A00-255 Practice Engine, Exam Discount A00-255 Voucher, Valid Braindumps A00-255 Free, Question A00-255 Explanations

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SASInstitute A00-255 exam is a certification exam that tests the skills and knowledge of professionals in the field of predictive modeling using SAS Enterprise Miner 14. A00-255 exam covers a range of topics related to data preparation, model selection, model assessment, and model deployment. A00-255 Exam is designed for professionals who want to advance their skills in predictive modeling using SAS Enterprise Miner 14 and is suitable for data analysts, statisticians, data scientists, and IT professionals.

SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q81-Q86):

NEW QUESTION # 81
Which of the following is not a good reason to"regularize" input distributions using a simple transformation?
Response:

  • A. Regression models are sensitive to extreme or outlying values in the input space.
  • B. When you perform regression, inputs with highly skewed or highly kurtotic distributions can be selected over inputs that would yield better overall predictions.
  • C. One benefit is improved model performance.
  • D. Another benefit is ease in model interpretation.

Answer: D


NEW QUESTION # 82
The number of neurons in this Neural Network model is which of the following:
Response:

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

Answer: A


NEW QUESTION # 83
Open the diagram labeled Practice A within the project labeled Practice A. Perform the following in SAS Enterprise Miner:

1. Set the Clustering method to Average.
2. Run the Cluster node.
What is the Cubic Clustering Criterion statistic for this clustering?
Response:

  • A. 14.69
  • B. 5862.76
  • C. 5.00
  • D. 67409.93

Answer: A


NEW QUESTION # 84
For an ordinal variable with L levels, the number of possible splits in a decision tree is which of the following?
Response:

  • A. 2L-1-1
  • B. (L-1)/1
  • C. 2L-1
  • D. 2L

Answer: A


NEW QUESTION # 85
If we were to add a Transformation node, what would be the default transformation for interval inputs for the present scenario?
Response:

  • A. Maximum Normal
  • B. none of the above
  • C. Maximum Correlation
  • D. Optimal

Answer: B


NEW QUESTION # 86
......

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