FREE PDF 2025 EFFICIENT SASINSTITUTE EXAM A00-255 PRACTICE

Free PDF 2025 Efficient SASInstitute Exam A00-255 Practice

Free PDF 2025 Efficient SASInstitute Exam A00-255 Practice

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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q49-Q54):

NEW QUESTION # 49
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. 0
  • B. 80.3571
  • C. 14.6216
  • D. 66.6667

Answer: A


NEW QUESTION # 50
Perform these tasks in SAS Enterprise Miner:
- 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). Configure the decision tree to use 1 for Number of Surrogate Rules and Largest for Method in Subtree. Do not change any other property of the Decision Tree node.
- 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. Do not change any other property for the Neural Network node. Run the process flow.
Which of the following variables was used in the decision tree model?
Response:

  • A. TLDel3060Cnt24
  • B. IMP_TLSatCnt
  • C. InqFinanceCnt24.
  • D. TLDel90Cnt24

Answer: A


NEW QUESTION # 51
Assume you have two equally appealing logistic regression models. Then, if you have to select only one out of these two models, you should select the one that has which of the following?
Response:

  • A. smaller value of SBC (Schwarz,s Bayesian criterion)
  • B. higher value of AIC (Akaike,s information criterion)
  • C. all of the above
  • D. smaller value of gamma

Answer: A


NEW QUESTION # 52
1. Define a new data source, PatternData, in SAS Enterprise Miner (SAS data set Patterndata.sas7bdat in the zip file distributed with this practice exam).
2. Set the role of all variables to Input, with the exception set the ID variable role to ID.
3. Set the measurement level for all variables to Interval, except:
- Set DemHomeOwner and StatusCatStarAll to Binary.
- Set DemCluster, DemGender, ID, and StatusCat96NK to Nominal.
4. Create a new diagram (name it Section6) within the project labeled Test.
5. Add the data source, PatternData, to this diagram. Make sure the variable roles and measurements are the same as in the table below. (Check the highlighted rows carefully and reset roles/levels as needed.)
6. Connect a Cluster node to the data source.
7. Modify the Cluster node to exclude nominal and binary input variables.
8. Run the Cluster node.

How many clusters are created by the Cluster node?
Response:

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: B


NEW QUESTION # 53
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: A


NEW QUESTION # 54
......

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