100% PASS A00-255 - THE BEST SAS PREDICTIVE MODELING USING SAS ENTERPRISE MINER 14 VALID TEST FORMAT

100% Pass A00-255 - The Best SAS Predictive Modeling Using SAS Enterprise Miner 14 Valid Test Format

100% Pass A00-255 - The Best SAS Predictive Modeling Using SAS Enterprise Miner 14 Valid Test Format

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Tags: A00-255 Valid Test Format, A00-255 Valid Test Fee, Exam A00-255 Flashcards, A00-255 Valid Test Pattern, Updated A00-255 Dumps

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SASInstitute A00-255 certification exam is a globally recognized certification that will help you progress in your data career. It confirms that you have the necessary skills and knowledge to handle complex data scenarios to enable data-driven decisions. Additionally, the certification demonstrates your expertise in predictive modeling techniques and your ability to use SAS Enterprise Miner to perform these techniques. Therefore, the SASInstitute A00-255 certification increases your chance of getting hired for advanced data analytics roles or getting promoted within your organization.

SASInstitute A00-255 Exam is a certification exam that assesses the knowledge and proficiency of candidates in predictive modeling techniques using SAS Enterprise Miner 14 software. A00-255 exam tests the ability of individuals to discover insights, predict outcomes and forecast future trends using statistical models and data mining techniques. SAS Enterprise Miner 14 is one of the most powerful and widely used data mining tools in the business analytics industry, and proficiency in its use is highly sought after by employers in various fields.

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Quiz 2025 A00-255: Marvelous SAS Predictive Modeling Using SAS Enterprise Miner 14 Valid Test Format

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SASInstitute A00-255 Exam is an essential certification for professionals who are interested in advancing their careers in the field of predictive modeling. SAS Predictive Modeling Using SAS Enterprise Miner 14 certification provides individuals with the credentials required to demonstrate their expertise in working with the SAS Enterprise Miner software program. The SASInstitute A00-255 Exam is an industry-recognized certification that is highly respected in the field of predictive modeling and data analysis.

SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q59-Q64):

NEW QUESTION # 59
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:

  • A. 11-15
  • B. 16-20
  • C. 1-10
  • D. 21 or more

Answer: A


NEW QUESTION # 60
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: D


NEW QUESTION # 61
Perform this task using SAS Enterprise Miner:
Continue to use the same diagram. Use an Ensemble node (configure using default options) in SAS Enterprise Miner to combine all four models.
The percentage of observations correctly predicted in the validation data by the Ensemble model is in which of the following ranges?
Response:

  • A. 94% or higher
  • B. 84-89.99%
  • C. less than 83.99%
  • D. 90-93.99%-

Answer: C


NEW QUESTION # 62
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.
What is the probability that TARGET=0 for ID=000355 in the training data?
Response:

  • A. 0.9341825902
  • B. 0.0658174098
  • C. 0.077935227
  • D. 0.9220647773

Answer: D


NEW QUESTION # 63
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. 67409.93
  • B. 5862.76
  • C. 14.69
  • D. 5.00

Answer: C


NEW QUESTION # 64
......

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