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Free PDF 2025 Latest A00-255: Authorized SAS Predictive Modeling Using SAS Enterprise Miner 14 Certification

The time for A00-255 test certification is approaching. If you do not prepare well for the SASInstitute certification, please choose our A00-255 exam test engine. You just need to spend 20-30 hours for study and preparation, then confident to attend the actual test. If you have any question about A00-255 study pdf, please contact us at any time. The online chat button is at the right bottom of the ActualVCE page. Besides, we guarantee money refund policy in case of failure.

The main objectives of the SAS Institute A00-255: SAS Predictive Modeling Using SAS Enterprise Miner 14 exam include understanding the key principles of predictive modelling, learning about the SAS Enterprise Miner interface, and mastering concepts such as data manipulation, variable selection, data exploration, and data partitioning. An individual appearing for A00-255 Exam should have a good understanding of statistical techniques and data analytics, as these skills are crucial to excel in the field of predictive modelling.

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By earning the SASInstitute A00-255 certification, individuals can gain a competitive edge in the job market, particularly in fields such as marketing, finance, healthcare, and more, where predictive modeling skills are increasingly in demand. SAS Predictive Modeling Using SAS Enterprise Miner 14 certification also provides a clear indication to employers of a candidate's proficiency in using SAS Enterprise Miner 14, one of the most widely used data mining and predictive analytics applications worldwide.

SASInstitute A00-255 Certification Exam is intended for data scientists, statisticians, and other professionals who want to demonstrate their expertise in predictive modeling using SAS Enterprise Miner. SAS Predictive Modeling Using SAS Enterprise Miner 14 certification is ideal for professionals who are already familiar with the software and want to expand their knowledge and skills. A00-255 exam is also suitable for those who are new to SAS Enterprise Miner but have a background in statistics or data science.

SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q47-Q52):

NEW QUESTION # 47
Transformation of input variables to make their distributions more symmetric will likely have what impact in a logistic regression?
Select one:
Response:

A. increase the performance of logistic regression
B. decrease the performance of logistic regression
C. neither increase nor decrease the performance of logistic regression
D. create convergence problems in maximum likelihood estimation

Answer: A

NEW QUESTION # 48
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 # 49
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. 14.69
C. 5.00
D. 5862.76

Answer: B

NEW QUESTION # 50
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 percentage of TARGET=1 as predicted by the best model on the scoring data is in which of the following ranges?
Response:

A. 6%-6.99%
B. under 4.99%
C. 5%-5.99%
D. 7% or higher

Answer: B

NEW QUESTION # 51
An analyst is performing a market basket analysis (affinity analysis) on the purchase of Shaving Cream and Seltzer Water. The purchase data from a set of 250 customers is shown below:

What is the confidence of the rule "Shaving Cream implies Seltzer Water"? You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:

A. 60%
B. 57%
C. 67%
D. 40%

Answer: B

NEW QUESTION # 52
......

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