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SASInstitute A00-255 Exam is a certification exam that tests the skills and knowledge of professionals in the field of predictive modeling using SAS Enterprise Miner 14. A00-255 exam covers a range of topics related to data preparation, model selection, model assessment, and model deployment. A00-255 exam is designed for professionals who want to advance their skills in predictive modeling using SAS Enterprise Miner 14 and is suitable for data analysts, statisticians, data scientists, and IT professionals.

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The SAS Institute A00-255 exam consists of multiple-choice questions that test the candidate's knowledge and skills in SAS predictive modeling using SAS Enterprise Miner 14. A00-255 exam is available in English and can be taken at SAS Institute testing centers. A00-255 Exam Duration is 2 hours and the passing score is 70%. A00-255 exam fee is $180 and the certification is valid for 3 years.

SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q41-Q46):

NEW QUESTION # 41
Perform these tasks in SAS Enterprise Miner:
* Continue to use the same diagram. Define and create the data set CREDIT_SCORE for scoring. The variables (their roles and measurement levels) in the CREDIT_SCORE data should be set as identical to those in the CREDIT dat a. The only exception is that the scoring data does not have a TARGET variable.
* Find the best model out of Decision Tree, Decision Tree (3-way), Regression, and Neural Network as defined by each of the four model's overall performance in the validation data measured by average squared error. Now, use this best model to score the CREDIT_SCORE data.
CREDIT SCORE:

The distribution of the predicted probabilities of TARGET=0 in the scoring data is approximately which of the following?
Response:

A. normal
B. bimodal
C. right skewed
D. left skewed

Answer: D

NEW QUESTION # 42
The number of neurons in this Neural Network model is which of the following:
Response:

A. 4 or more
B. 0
C. 1
D. 2

Answer: C

NEW QUESTION # 43
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. TLDel90Cnt24
B. TLDel3060Cnt24
C. IMP_TLSatCnt
D. InqFinanceCnt24.

Answer: B

NEW QUESTION # 44
-> 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:

A. 0
B. 1
C. 2
D. 3

Answer: D

NEW QUESTION # 45
You are building a model for a marketing campaign. Every responder to the campaign solicitation will generate $471 in gross revenue. The average cost per solicitation is $66. Incorporating the above information in a decision matrix, what would be the decision threshold (probability cutoff) generated in your model?
You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:

A. 0.16
B. 0.14
C. 0.20
D. 0.86

Answer: B

NEW QUESTION # 46
......

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Reliable A00-255 Braindumps Book & A00-255 Reliable Test Duration

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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q41-Q46):

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