Free PDF Quiz 2025 SASInstitute A00-255: High-quality SAS Predictive Modeling Using SAS Enterprise Miner 14 Dump File
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SASInstitute A00-255 is a certification exam designed for professionals who want to demonstrate their expertise in predictive modeling using SAS Enterprise Miner 14. A00-255 exam is an advanced-level certification that tests the candidate's skills and knowledge in data analysis, model building, and deployment using SAS Enterprise Miner.
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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q66-Q71):
NEW QUESTION # 66
-> 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).
- Allow for 1 substitute rule in case the variable for the primary splitting rule is missing.
- Disable pruning for the decision tree.
-> 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.
-> Run the process flow.
What is the number of input variables being used by the Neural Network Model?
Enter your numeric answer in the space below:
Response:
Answer: D
NEW QUESTION # 67
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:
Answer: B
NEW QUESTION # 68
Assume the Target has an event proportion of 2% in the original data. Which of the following property values should be used in the Sample node of SAS Enterprise Miner to create a sample from that data with a balanced 50/50 split for Target?
Select one:
Response:
Answer: B
NEW QUESTION # 69
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:
Answer: C
NEW QUESTION # 70
Assume that a company has an excellent customer segmentation in place and the segment scheme is a variable in the input data set. What is the best partition method that one should use?
Select one:
Response:
Answer: B
NEW QUESTION # 71
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