SASINSTITUTE A00-255 FREE UPDATES

SASInstitute A00-255 Free Updates

SASInstitute A00-255 Free Updates

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Tags: New A00-255 Mock Exam, New A00-255 Test Papers, New A00-255 Test Sims, A00-255 Real Dumps Free, Current A00-255 Exam Content

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SASInstitute A00-255 Certification Exam is a rigorous and challenging exam that requires a thorough understanding of predictive modeling concepts and techniques. A00-255 exam consists of multiple-choice questions and is timed for two hours. Candidates must achieve a passing score of 70% or higher to earn the certification. A00-255 exam is available in several languages, including English, Chinese, and Japanese.

SASInstitute A00-255 certification exam is recognized globally and is highly valued by employers in various industries. SAS Predictive Modeling Using SAS Enterprise Miner 14 certification demonstrates the candidate's ability to work with complex data sets, build predictive models, and deploy them for business applications. The SASInstitute A00-255 Certification also indicates the candidate's proficiency in using SAS Enterprise Miner, which is a widely used tool for data mining and predictive modeling.

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The SAS Institute, the creator of SAS Enterprise Miner, is a leading provider of analytics software and solutions. Their certification program is highly respected in the industry, as it ensures that certified professionals have the skills and knowledge needed to use SAS software effectively. The A00-255 Exam is a rigorous test of the candidate's ability to use SAS Enterprise Miner to solve real-world problems, and passing it demonstrates a high level of expertise in predictive modeling. Certification can help professionals advance their careers and stand out in the competitive job market.

SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q48-Q53):

NEW QUESTION # 48
What is the purpose of the Kass (Bonferroni) adjustment in the decision tree split-search algorithm?
Select one:
Response:

  • A. To ensure that the choice of split is not influenced by input measurement scale.
  • B. To ensure a non-negative logworth value.
  • C. To reduce the number of surrogate splitting rules.
  • D. To give categorical inputs a greater chance to be used the split.

Answer: A


NEW QUESTION # 49
Assume in a data mining project that the task is to predict rankings of a target variable as accurately as possible. Which of the following should be used to judge prediction models?
Response:

  • A. average squared error
  • B. Gini coefficient
  • C. misclassification
  • D. KS statistic

Answer: B


NEW QUESTION # 50
Refer to the exhibit:

The SAS data set retail contains information on the count of retail store sales based on the following item types: bargain, essential, gourmet, and health. Based on the results from the Cluster Profile node, which statement is true?
Select one:
Response:

  • A. The overall distribution of bargain item sales is left-skewed and Segment 4 contains stores selling fewer than average bargain items.
  • B. The overall distribution of bargain item sales is approximately normal and Segment 1 contains stores selling fewer than average bargain items.
  • C. The overall distribution of essential item sales is right skewed and Segment 4 contains stores selling higher than average essential items.
  • D. The overall distribution of essential item sales is approximately normal and Segment 1 contains stores selling fewer than average essential items.

Answer: B


NEW QUESTION # 51
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. One benefit is improved model performance.
  • C. Regression models are sensitive to extreme or outlying values in the input space.
  • D. Another benefit is ease in model interpretation.

Answer: D


NEW QUESTION # 52
What is the variable worth of the PromCntCardAll variable in Segment 1?
Select one:
Response:

  • A. 0.24914
  • B. 0.27649
  • C. 0.24169
  • D. 0.10844

Answer: B


NEW QUESTION # 53
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