Easy To Download SASInstitute A00-255 Exam Dumps Updated 87 Questions [Q23-Q40]

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Easy To Download SASInstitute A00-255 Exam Dumps Updated 87 Questions

New Updated A00-255 Exam Questions 2025

To appear for the SASInstitute A00-255 Certification Exam, candidates must have a strong understanding of SAS programming basics, statistical modeling concepts, and data mining techniques. A00-255 exam focuses on various topics, such as data exploration, data transformation, variable selection, model comparison, and model deployment. Candidates must also have experience working with SAS Enterprise Miner software to analyze and model data effectively. Passing the SASInstitute A00-255 Certification Exam demonstrates that a candidate has the necessary skills and knowledge to use SAS Enterprise Miner effectively for predictive modeling and data analysis.

 

NEW QUESTION 23
What percentage of observations in the test data has TARGET=1?
Response:

 
 
 
 

NEW QUESTION 24
For the variable InqCnt06, replace all values over 10.1 with the value 10. How many values are replaced?
Response:

 
 
 
 

NEW QUESTION 25
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.
How many leaves are there in the decision tree?
Response:

 
 
 
 

NEW QUESTION 26
If the bank wanted to select the best model based on which model achieves the highest lift for the third decile in the validation data, then which of the following is the best model?
Response:

 
 
 
 

NEW QUESTION 27
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:

 
 
 
 

NEW QUESTION 28
What is the purpose of the Kass (Bonferroni) adjustment in the decision tree split-search algorithm?
Select one:
Response:

 
 
 
 

NEW QUESTION 29
Refer to the graphs shown below. The graphs are from a study of response rate to a marketing campaign.

How much more likely are the top 20% of targeted respondents to purchase the product than a randomly selected sample?
Select one:
Response:

 
 
 
 

NEW QUESTION 30
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 decision tree model, what is the importance of the variable InqCnt06?
Response:

 
 
 
 

NEW QUESTION 31
Refer to the exhibit:

The SAS data set credit_customers contains a numeric variable units_sold that holds only the values: 1, 2, 3, 4. Based on the settings provided in the Advanced Advisor Options, what will be the Role and Level of the units_sold variable when the credit_customers data set is created using Advanced Metadata Advisor in the Data Source Wizard?
Select one:
Response:

 
 
 
 

NEW QUESTION 32
In SAS Enterprise Miner’s Decision Tree node, which of the following types of target variable can be used?
Response:

 
 
 
 

NEW QUESTION 33
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.
For the validation data, in what range does cumulative percent captured response at the 60th percentile lie?
Response:

 
 
 
 

NEW QUESTION 34
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:

 
 
 
 

NEW QUESTION 35
Transformation of input variables to make their distributions more symmetric will likely have what impact in a logistic regression?
Select one:
Response:

 
 
 
 

NEW QUESTION 36
For the variable TLCnt24, apply a Max Normal transformation. What transformation was selected by SAS Enterprise Miner?
Response:

 
 
 
 

NEW QUESTION 37
If you only consider observations for which TARGET=0, what percentage of such observations has BanruptcyInd=1?
Response:

 
 
 
 

NEW QUESTION 38
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:

 
 
 
 

NEW QUESTION 39
If we were to add a Transformation node, what would be the default transformation for interval inputs for the present scenario?
Response:

 
 
 
 

NEW QUESTION 40
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.
The number of input variables being used by the Neural Network model is which of the following?
Response:

 
 
 
 

Updated Free SASInstitute A00-255 Test Engine Questions with 87 Q&As: https://www.dumptorrent.com/A00-255-braindumps-torrent.html

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