100% PASS NEWEST SASINSTITUTE - RELIABLE TEST A00-255 TEST

100% Pass Newest SASInstitute - Reliable Test A00-255 Test

100% Pass Newest SASInstitute - Reliable Test A00-255 Test

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Tags: Reliable Test A00-255 Test, A00-255 Valid Study Materials, A00-255 Valid Exam Pdf, A00-255 Exam Tutorial, A00-255 Valid Learning Materials

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SASInstitute A00-255 exam is an essential certification for individuals who want to specialize in predictive modeling using SAS Enterprise Miner 14. SAS Predictive Modeling Using SAS Enterprise Miner 14 certification validates one's skills in developing predictive models and interpreting results. It is recommended for individuals who have experience in data analysis and are proficient in SAS programming. Passing A00-255 Exam can enhance an individual's career opportunities and lead to better-paying jobs in the field of data analytics.

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A00-255 Valid Study Materials | A00-255 Valid Exam Pdf

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SASInstitute A00-255 Exam is designed to evaluate the skills of individuals when it comes to predictive modeling using SAS Enterprise Miner 14. The test aims to verify their ability to use SAS Enterprise Miner's tools and techniques to create, refine, and adjust predictive models that can help inform better and more accurate decision-making processes in various industries.

SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q54-Q59):

NEW QUESTION # 54
How many hidden layers are generally needed in an MLP-based neural network to capture a discontinuous relationship between inputs and target?
Response:

  • A. three or more hidden layers
  • B. no hidden layer, direct connection between inputs and output is preferred
  • C. one hidden layer
  • D. two hidden layers

Answer: D


NEW QUESTION # 55
Multicollinearity in regression refers to which of the following?
Response:

  • A. high skewness in distributions of input variables
  • B. non-normality of the target variable
  • C. high correlations among input variables
  • D. non-constant variance of the target variable

Answer: C


NEW QUESTION # 56
In SAS Enterprise Miner's Decision Tree node, which of the following types of target variable can be used?
Response:

  • A. binary
  • B. nominal with any number of categories
  • C. interval
  • D. all of the above

Answer: D


NEW QUESTION # 57
Perform these tasks in SAS Enterprise Miner:
* Add a Decision Tree node, as shown below. (Make sure you use only default options in the Decision Tree node.)

* Run the Decision Tree node.
What percentage of all observations is being correctly predicted in the test data set by the decision tree?
Response:

  • A. 85.2222%
  • B. 16.8874%
  • C. 83.1126%
  • D. 84.5212%

Answer: C


NEW QUESTION # 58
Look over the output from the Neural Network model. Which of the following statement(s) is (are) true?
Response:

  • A. The misclassification error for the test data is 0.154255.
  • B. The model has too few input variables.
  • C. All of the above
  • D. The optimization for the model has not been completed.

Answer: D


NEW QUESTION # 59
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