A00-255–100% FREE RELIABLE EXAM VOUCHER | TRUSTABLE VALID SAS PREDICTIVE MODELING USING SAS ENTERPRISE MINER 14 TEST PAPERS

A00-255–100% Free Reliable Exam Voucher | Trustable Valid SAS Predictive Modeling Using SAS Enterprise Miner 14 Test Papers

A00-255–100% Free Reliable Exam Voucher | Trustable Valid SAS Predictive Modeling Using SAS Enterprise Miner 14 Test Papers

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Once downloaded from the website, you can easily study from the SAS Predictive Modeling Using SAS Enterprise Miner 14 exam questions compiled by our highly experienced professionals as directed by the SASInstitute A00-255 exam syllabus. The SASInstitute A00-255 Dumps are given regular update checks in case of any update. We make sure that candidates are not preparing for the SAS Predictive Modeling Using SAS Enterprise Miner 14 exam from outdated and unreliable A00-255 study material.

The SAS Predictive Modeling Using SAS Enterprise Miner 14 Certification Exam is designed for professionals who want to validate their skills in predictive modeling with the SAS Enterprise Miner software. This software is widely used in various industries such as healthcare, finance, and retail, to identify patterns and relationships in large sets of data. The A00-255 exam tests the candidate's ability to apply data preparation techniques, build predictive models, and interpret the results using SAS Enterprise Miner 14.

The main objectives of the SAS Institute A00-255: SAS Predictive Modeling Using SAS Enterprise Miner 14 exam include understanding the key principles of predictive modelling, learning about the SAS Enterprise Miner interface, and mastering concepts such as data manipulation, variable selection, data exploration, and data partitioning. An individual appearing for A00-255 Exam should have a good understanding of statistical techniques and data analytics, as these skills are crucial to excel in the field of predictive modelling.

SASInstitute A00-255 exam covers a range of topics related to predictive modeling using SAS Enterprise Miner 14. These include data preparation, variable selection, model selection, model assessment, and model deployment. A00-255 exam also covers advanced topics such as ensemble modeling, time series modeling, and text mining. A00-255 exam is based on SAS Enterprise Miner 14, which is a powerful tool for data mining and predictive modeling.

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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q71-Q76):

NEW QUESTION # 71
Perform these tasks in SAS Enterprise Miner:
- Use the Regression node to build another regression model with TARGET as the dependent variable and all other input variables as independent variables (main effects only).
- Configure the regression model to use Stepwise for Selection Model and Validation Error for Selection Criteri a. Do not change any other property for the regression model.
Consider the variable TLCnt03 in the selected model. Based on the model results, changing this variable by 1 unit will result in which of the following?
Response:

  • A. reduction of odds for TARGET=1 by 0.3457
  • B. change of odds for TARGET=1 by a factor 0.3457
  • C. change of odds for TARGET=1 by a factor 0.708
  • D. reduction of odds for TARGET=1 by 0.708

Answer: C


NEW QUESTION # 72
Sometimes in predictive modeling we build models using a sample that has a primary outcome proportion different from true population proportion. This is usually done when the ratio of primary to secondary outcomes in a binary target variable in the population is close to which of the following?
Response:

  • A. 0
  • B. 1.2
  • C. 0.8
  • D. 0.05

Answer: D


NEW QUESTION # 73
Which of the following is not true about results produced by the Regression node?
Response:

  • A. Type 3 Analysis of Effects provides you with information about the number of parameters that each input contributes to the model.
  • B. Variable Summary information identifies the roles of variables used by the Regression node.
  • C. Fit Statistics can provide information that affects decision predictions, but does not affect estimate predictions.
  • D. Model Information provides you with information that includes the number of target categories and the number of model parameters.

Answer: C


NEW QUESTION # 74
Perform these tasks in SAS Enterprise Miner:
- Use the Regression node to build another regression model with TARGET as the dependent variable and all other input variables as independent variables (main effects only).
- Configure the regression model to use Stepwise for Selection Model and Validation Error for Selection Criteri a. Do not change any other property for the regression model.
Which of the following variable(s) is (are) statistically significant at the 5% level in the selected model?
Response:

  • A. TLDel3060Cnt24
  • B. IMP_TLOpen24Pct
  • C. TLTimeFirst
  • D. all of the above

Answer: D


NEW QUESTION # 75
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.
The variable Branch has how many levels?
Response:

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: B


NEW QUESTION # 76
......

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