A00-255 TEST QUESTIONS - A00-255 PDF DUMPS

A00-255 Test Questions - A00-255 Pdf Dumps

A00-255 Test Questions - A00-255 Pdf Dumps

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Tags: A00-255 Test Questions, A00-255 Pdf Dumps, Reliable A00-255 Exam Sample, Exam A00-255 Testking, A00-255 Exam Paper Pdf

If you want to pass exam and get the related certification in the shortest time, the A00-255 A00-255 study materials from our company will be your best choice. Although there are a lot of same study materials in the market, we still can confidently tell you that our A00-255 Study Materials are most excellent in all aspects. With our experts and professors’ hard work and persistent efforts, the A00-255 study materials from our company have won the customers’ strong support in the past years.

SASInstitute A00-255 exam is a valuable certification for professionals working in the field of data analytics and predictive modeling. It demonstrates a candidate's proficiency in using SAS Enterprise Miner to solve complex data mining problems and provides employers with a reliable way to evaluate the skills of potential employees. Passing the A00-255 Exam can open up new career opportunities and help professionals advance in their current roles.

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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q74-Q79):

NEW QUESTION # 74
Perform these tasks in SAS Enterprise Miner:
* Continue to use the same diagram. Define and create the data set CREDIT_SCORE for scoring. The variables (their roles and measurement levels) in the CREDIT_SCORE data should be set as identical to those in the CREDIT dat a. The only exception is that the scoring data does not have a TARGET variable.
* Find the best model out of Decision Tree, Decision Tree (3-way), Regression, and Neural Network as defined by each of the four model's overall performance in the validation data measured by average squared error. Now, use this best model to score the CREDIT_SCORE data.
CREDIT SCORE:

The distribution of the predicted probabilities of TARGET=0 in the scoring data is approximately which of the following?
Response:

  • A. normal
  • B. bimodal
  • C. left skewed
  • D. right skewed

Answer: C


NEW QUESTION # 75
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?
Response:

  • A. Forward
  • B. None
  • C. Stepwise
  • D. Backward

Answer: B


NEW QUESTION # 76
The Chi Square statistic for measuring association between the variables BanruptcyInd and TARGET is which of the following?
Response:

  • A. 3.00 or higher
  • B. less than 1.00
  • C. between 2.00 and 2.99
  • D. between 1.00 and 1.99

Answer: D


NEW QUESTION # 77
Perform these tasks in SAS Enterprise Miner:
- Add a Decision Tree node after the Impute node with TARGET as the dependent variable and all other input variables as independent variables (main effects only). Configure the decision tree to use 1 for Number of Surrogate Rules and Largest for Method in Subtree. Do not change any other property of the Decision Tree node.
- Add another Neural Network node after the decision tree with TARGET as the dependent variable and all other input variables as independent variables (main effects only). Configure the Neural Network model to use Average Error for Model Selection Criterion. Do not change any other property for the Neural Network node. Run the process flow.
The number of input variables being used by the Neural Network model is which of the following?
Response:

  • A. 16-20
  • B. 11-15
  • C. 21 or more
  • D. less than or equal to 10

Answer: A


NEW QUESTION # 78
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: D


NEW QUESTION # 79
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