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Latest SASInstitute A00-255 Exam Simulator & Best A00-255 Vce

SASInstitute A00-255 dumps PDF version is printable and embedded with valid SASInstitute A00-255 questions to help you get ready for the A00-255 exam quickly. SAS Predictive Modeling Using SAS Enterprise Miner 14 (A00-255) exam dumps pdf are also usable on several smart devices. You can use it anywhere at any time on your smartphones and tablets. We update our SASInstitute A00-255 Exam Questions bank regularly to match the changes and improve the quality of A00-255 questions so you can get a better experience.

SASInstitute A00-255 exam consists of multiple-choice questions that cover various topics related to predictive modeling, including data preparation, variable selection, model assessment, and deployment. SAS Predictive Modeling Using SAS Enterprise Miner 14 certification program is suitable for data analysts, statisticians, and data scientists who want to enhance their skills in data mining and predictive modeling.

SASInstitute A00-255, also known as the SAS Predictive Modeling Using SAS Enterprise Miner 14 Certification Exam, is a globally recognized certification program that validates an individual's skills in using SAS Enterprise Miner for predictive modeling. A00-255 Exam assesses the candidate's ability to manipulate data, create predictive models, and interpret the results.

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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q62-Q67):

NEW QUESTION # 62
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. 0.86
D. 0.20

Answer: B

NEW QUESTION # 63
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:

A. 50-74.99
B. 25-49.99
C. 0-24.99
D. 75 or more

Answer: D

NEW QUESTION # 64
Impute the missing values for the variable TLSum using the Tree method. What is the mean of the new variable (with the imputed values)?
Response:

A. 30,000-39,999.99
B. 40,000 or higher
C. 20,000-29,999.99
D. less than 19,999.99

Answer: D

NEW QUESTION # 65
Refer to the following profit matrix and confusion matrix for a campaign soliciting product purchases. The predicted variable is a binary outcome.

Based on the above tables, what is the average profit? 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
B. 1
C. 86.25
D. 6.9

Answer: B

NEW QUESTION # 66
Consider a binary target variable. Assume Accuracy is the desired assessment measure. Accuracy is not an option in the Decision Tree node. Which assessment measure can you use as a proxy for accuracy?
Select one:
Response:

A. Total Profit
B. Average Squared Error
C. Mean Square Error
D. 1 - Misclassification Rate

Answer: D

NEW QUESTION # 67
......

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