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Exam A00-255 Guide & Exam A00-255 Simulator Free

Studying from an updated practice material is necessary to get success in the SASInstitute A00-255 certification test on the first try. If you don't adopt this strategy, you will not be able to clear the SAS Predictive Modeling Using SAS Enterprise Miner 14 (A00-255) examination. Failure in the SAS Predictive Modeling Using SAS Enterprise Miner 14 (A00-255) test will lead to loss of confidence, time, and money. Don't worry because "ActualtestPDF" is here to save you from these losses with its updated and real SASInstitute A00-255 exam questions.

Becoming certified in SAS Predictive Modeling using SAS Enterprise Miner 14 demonstrates a high level of proficiency in data analysis and modeling techniques. It provides a competitive advantage in the job market and validates one’s skills to potential employers. Additionally, SAS certification is recognized globally and demonstrates a commitment to excellence in the field of data analytics.

SAS Predictive Modeling Using SAS Enterprise Miner 14 is a comprehensive course that provides participants with the skills required to apply predictive modeling techniques using the powerful SAS Enterprise Miner software program. A00-255 course is designed to equip individuals with the knowledge and skills to transform data into useful insights, predict trends and behavior, and make effective business decisions. Participants will learn how to find the most effective solutions to business problems by exploring, analyzing and interpreting data using SAS Enterprise Miner.

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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q53-Q58):

NEW QUESTION # 53
A useful concept in logistic regression is the doubling amount. How would you calculate doubling amount for an input variable that has a parameter estimate of b1?
Response:

A. 2*b1
B. 2/log(b1)
C. 0.69/b1
D. 2*log(b1)

Answer: C

NEW QUESTION # 54
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. right skewed
B. normal
C. bimodal
D. left skewed

Answer: D

NEW QUESTION # 55
The importance of an input variable in predicting a target in an MLP-based neural network can be figured out by which of the following?
Response:

A. the average of the absolute values of parameter estimates between the input and all of the hidden neurons
B. none of the above
C. the highest absolute value of the parameter estimate between the input and any of the hidden neurons
D. the highest absolute value of the parameter estimate between the input and any of the hidden neurons multiplied by the absolute value of the parameter estimate of the hidden neuron

Answer: B

NEW QUESTION # 56
Which of the following is not a good reason to"regularize" input distributions using a simple transformation?
Response:

A. When you perform regression, inputs with highly skewed or highly kurtotic distributions can be selected over inputs that would yield better overall predictions.
B. Regression models are sensitive to extreme or outlying values in the input space.
C. Another benefit is ease in model interpretation.
D. One benefit is improved model performance.

Answer: C

NEW QUESTION # 57
Assume a variable is coded as follows: 1=unmarried, 2=married, 3=divorced, and 4=widowed. Then which of the following measurement levels should be selected in SAS Enterprise Miner for this variable?
Response:

A. Unary
B. Nominal
C. Interval
D. Ordinal

Answer: B

NEW QUESTION # 58
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