A00-255 LATEST EXAM ANSWERS & A00-255 VALID BRAINDUMPS

A00-255 Latest Exam Answers & A00-255 Valid Braindumps

A00-255 Latest Exam Answers & A00-255 Valid Braindumps

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SASInstitute A00-255 certification exam tests candidates on their ability to use SAS Enterprise Miner 14 to build and evaluate predictive models. Candidates will be tested on their knowledge of data preparation, variable selection, model building, model assessment, and model deployment. A00-255 Exam is divided into two parts: a multiple-choice section and a hands-on practical section.

SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q34-Q39):

NEW QUESTION # 34
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 # 35
Refer to the following profit matrix and confusion matrix for a campaign soliciting product purchases. The predicted variable is a binary outcome.

Based on the above tables, what is the average profit? You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:

  • A. 0
  • B. 6.9
  • C. 86.25
  • D. 1

Answer: D


NEW QUESTION # 36
Multicollinearity in regression refers to which of the following?
Response:

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

Answer: A


NEW QUESTION # 37
Open the diagram labeled Practice A within the project labeled Practice A. Perform the following in SAS Enterprise Miner:

1. Set the Clustering method to Average.
2. Run the Cluster node.
What is the Cubic Clustering Criterion statistic for this clustering?
Response:

  • A. 5862.76
  • B. 67409.93
  • C. 5.00
  • D. 14.69

Answer: D


NEW QUESTION # 38
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.
In the training data set, consider only those observations for which the actual value of the target variable equals 1, TARGET=1. What percentage of these observations is being correctly predicted by the decision tree?
Response:

  • A. 80.3571
  • B. 66.6667
  • C. 14.6216
  • D. 0

Answer: D


NEW QUESTION # 39
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