Real A00-255 Exam Questions, A00-255 Sample Questions
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SASInstitute A00-255 certification exam is designed for professionals who want to validate their knowledge and skills in predictive modeling using SAS Enterprise Miner 14. A00-255 exam is ideal for data analysts, statisticians, and data scientists who want to enhance their understanding of advanced data mining techniques and predictive modeling using SAS Enterprise Miner 14. By passing A00-255 exam, candidates can demonstrate their proficiency in using SAS Enterprise Miner 14 to solve complex business problems and create predictive models.
SASInstitute A00-255 Certification Exam is a popular choice among professionals who want to establish themselves as experts in predictive modeling. A00-255 exam is designed to test the candidates' knowledge and skills in using SAS Enterprise Miner 14 to build predictive models. A00-255 exam covers a wide range of topics, including data preparation, variable selection, model building, deployment, and validation.
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A00-255 Sample Questions - Exam A00-255 Overview
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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q55-Q60):
NEW QUESTION # 55
What percentage of observations in the test data has TARGET=1?
Response:
Answer: B
NEW QUESTION # 56
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:
Answer: B
NEW QUESTION # 57
Which model was picked as the best model by SAS Enterprise Miner?
Response:
Answer: D
NEW QUESTION # 58
If you only consider observations for which TARGET=0, what percentage of such observations has BanruptcyInd=1?
Response:
Answer: B
NEW QUESTION # 59
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:
Answer: B
NEW QUESTION # 60
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