HOT A00-255 NEW BRAINDUMPS PDF | PROFESSIONAL SASINSTITUTE A00-255: SAS PREDICTIVE MODELING USING SAS ENTERPRISE MINER 14 100% PASS

Hot A00-255 New Braindumps Pdf | Professional SASInstitute A00-255: SAS Predictive Modeling Using SAS Enterprise Miner 14 100% Pass

Hot A00-255 New Braindumps Pdf | Professional SASInstitute A00-255: SAS Predictive Modeling Using SAS Enterprise Miner 14 100% Pass

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SASInstitute A00-255 Certification Exam consists of 70 multiple-choice and short-answer questions that need to be completed within 2 hours and 30 minutes. The topics covered in the exam include data preparation, variable selection, model assessment, and deployment. A00-255 Exam also tests the candidate's ability to interpret results and communicate findings to stakeholders. A00-255 exam is available in English and can be taken online or in person at SASInstitute authorized testing centers.

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SASInstitute A00-255 certification exam is a popular choice among professionals who want to establish themselves as experts in predictive modeling. A00-255 exam is designed to test the candidates' knowledge and skills in using SAS Enterprise Miner 14 to build predictive models. A00-255 exam covers a wide range of topics, including data preparation, variable selection, model building, deployment, and validation.

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.

SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q37-Q42):

NEW QUESTION # 37
Look over the output from the Neural Network model. Which of the following statement(s) is (are) true?
Response:

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

Answer: C


NEW QUESTION # 38
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. 2*b1
  • D. 0.69/b1

Answer: D


NEW QUESTION # 39
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 # 40
1. Create a project named Insurance, with a diagram named Explore.
2. Create the data source, DEVELOP, in SAS Enterprise Miner. DEVELOP is in the directory c:workshopPractice.
3. Set the role of all variables to Input, with the exception of the Target variable, Ins (1= has insurance, 0= does not have insurance).
4. Set the measurement level for the Target variable, Ins, to Binary.
5. Ensure that Branch and Res are the only variables with the measurement level of Nominal.
6. All other variables should be set to Interval or Binary.
7. Make sure that the default sampling method is random and that the seed is 12345.
What is the mean credit card balance (CCBal) of the customers with a variable annuity?
Response:

  • A. $8,711.65
  • B. $0.00
  • C. $9,586.55
  • D. $11,142.45

Answer: C


NEW QUESTION # 41
Multicollinearity in regression refers to which of the following?
Response:

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

Answer: B


NEW QUESTION # 42
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