QUIZ 2025 SASINSTITUTE PROFESSIONAL A00-255 EXAM DEMO

Quiz 2025 SASInstitute Professional A00-255 Exam Demo

Quiz 2025 SASInstitute Professional A00-255 Exam Demo

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Tags: A00-255 Exam Demo, A00-255 Latest Practice Materials, A00-255 Exam Sample Online, Reliable A00-255 Test Answers, A00-255 PDF Download

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The A00-255 certification exam is a performance-based test that evaluates the candidates' ability to apply their knowledge in a real-world scenario. To pass the exam, the candidates need to demonstrate their proficiency in using SAS Enterprise Miner to solve complex business problems. A00-255 exam consists of 50 multiple-choice questions, and the candidates are given 110 minutes to complete the test.

The SASInstitute A00-255 exam comprises of 50 multiple choice questions and lasts for 110 minutes. A00-255 Exam Questions are designed to test the candidate's understanding of practical predictive modeling concepts and techniques as well as their ability to apply them using SAS Enterprise Miner. Candidates must demonstrate proficiency in a range of areas, including data preparation and exploration, modeling, model assessment and deployment, and data mining techniques. A passing score of 68% or higher is required to obtain the certification.

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SAS Predictive Modeling Using SAS Enterprise Miner 14 Exam Training Guide Improve Your Efficiency - TestPassed

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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q13-Q18):

NEW QUESTION # 13
In segment 2, what percentage of GiftAvgCard36 values are between 6.6638 and 11.998?
Select one:
Response:

  • A. 47.82%
  • B. 13.39%
  • C. 14.00%
  • D. 48.59%

Answer: D


NEW QUESTION # 14
Which of the following is not a good reason to"regularize" input distributions using a simple transformation?
Response:

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

Answer: B


NEW QUESTION # 15
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.
How many leaves are there in the decision tree?
Response:

  • A. 1-10
  • B. 21 or more
  • C. 11-15
  • D. 16-20

Answer: C


NEW QUESTION # 16
A useful concept in logistic regression is the doubling amount. How would you calculate doubling amount for an input variable that has a parameter estimate of b1?
Response:

  • A. 2*log(b1)
  • B. 2/log(b1)
  • C. 0.69/b1
  • D. 2*b1

Answer: C


NEW QUESTION # 17
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.
Suppose that the data has been oversampled and the probability that TARGET=1 is 0.10 in the population. Incorporate the above scenario and run the Decision Tree node again.
What is the misclassification rate in the validation data set?
Response:

  • A. 0.154788
  • B. 0.162252
  • C. 0.157016
  • D. 0.10

Answer: C


NEW QUESTION # 18
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