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SASInstitute A00-255 exam is designed to test the proficiency of individuals in predictive modeling using SAS Enterprise Miner 14. SAS Predictive Modeling Using SAS Enterprise Miner 14 certification is intended for data analysts, data scientists, and other professionals who work with data on a regular basis. A00-255 exam covers a wide range of topics, including data preparation, variable selection, regression analysis, decision trees, clustering techniques, and much more.
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SASInstitute A00-255 Certification Exam is a valuable credential for professionals who want to advance their career in the field of data analytics. SAS Enterprise Miner 14 is a powerful tool for predictive modeling, and having a certification in this area can give candidates a competitive edge in the job market. In addition, SASInstitute certifications are widely recognized and respected in the industry, making them a valuable addition to any professional's resume.
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NEW QUESTION # 17
How many hidden layers are generally needed in an MLP-based neural network to capture a discontinuous relationship between inputs and target?
Response:
Answer: D
NEW QUESTION # 18
Perform these tasks in SAS Enterprise Miner:
* Add a Decision Tree node, as shown below. (Make sure you use only default options in the Decision Tree node.)
* Run the Decision Tree node.
What is the probability that TARGET=0 for ID=000355 in the training data?
Response:
Answer: B
NEW QUESTION # 19
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: D
NEW QUESTION # 20
Which of the following is not a good reason to"regularize" input distributions using a simple transformation?
Response:
Answer: C
NEW QUESTION # 21
What is the kurtosis value for the variable TLDel60Cnt24?
Response:
Answer: C
NEW QUESTION # 22
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Oficinas GSK, Oceanía Business Plaza Torre 1000 piso 34. Panamá, República de Panamá, C.A.
Este material está destinado exclusivamente a Profesionales Médicos o de la Salud de Panamá, Costa Rica, República Dominicana, Honduras, Guatemala y El Salvador.
Código de aprobación: NX-RCH-ABX-WCNT-240004
Aprobación: Diciembre 2024.
Expiración: Diciembre 2026.
