SAS A00-255 Certification Exam Syllabus

A00-255 Syllabus, A00-255 PDF Download, SAS A00-255 Dumps, SAS Predictive Modeler Dumps PDF Download, SAS Predictive Modeling Using SAS Enterprise Miner 14  PDF DownloadThis page is a one-stop solution for any information you may require for SAS Predictive Modeling Using SAS Enterprise Miner 14 (A00-255) Certification exam. The SAS A00-255 Exam Summary, Syllabus Topics and Sample Questions provide the base for the actual SAS Certified Predictive Modeler Using SAS Enterprise Miner 14 exam preparation, we have designed these resources to help you get ready to take your dream exam.

The SAS Predictive Modeling Using SAS Enterprise Miner 14 credential is globally recognized for validating SAS Predictive Modeler knowledge. With the SAS Certified Predictive Modeler Using SAS Enterprise Miner 14 Certification credential, you stand out in a crowd and prove that you have the SAS Predictive Modeler knowledge to make a difference within your organization. The SAS Predictive Modeling Using SAS Enterprise Miner 14 Certification (A00-255) exam will test the candidate's knowledge on following areas.

SAS A00-255 Exam Summary:

Exam Name SAS Predictive Modeling Using SAS Enterprise Miner 14
Exam Code A00-255
Exam Duration 165 minutes
Exam Questions 55-60
Passing Score 725/1000
Exam Price $250 (USD)
Training Applied Analytics Using SAS Enterprise Miner
Books Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications, Third Edition
Exam Registration Pearson VUE
Sample Questions SAS Predictive Modeler Certification Sample Question
Practice Exam SAS Predictive Modeler Certification Practice Exam

SAS A00-255 Exam Topics:

Objective Details
Data Sources - (20-25%)
- Create data sources from SAS tables in Enterprise Miner
 
- Explore and assess data sources
 
- Modify source data
 
- Prepare data to be submitted to a predictive model
 
Building Predictive Models - (35-40%)
- Describe key predictive modeling terms and concepts
 
- Build predictive models using decision trees
 
- Build predictive models using regression
 
- Build predictive models using neural networks
 
Predictive Model Assessment and Implementation - (25-30%)
- Use the correct fit statistic for different prediction types
 
- Use decision processing to adjust for oversampling (separate sampling)
 
- Use profit/loss information to assess model performance
 
- Compare models with the MODEL COMPARISON node
 
- Score data sets within Enterprise Miner
 
Pattern Analysis - (10-15%)
- Identify clusters of similar data with the CLUSTER and SEGMENT PROFILE nodes
 
- Perform association and sequence analysis (market basket analysis)

The SAS has created this credential to assess the knowledge and understanding of a candidate in the area as above via the certification exam. The SAS Predictive Modeler (A00-255) Certification exam contains a high value in the market being the brand value of the SAS attached with it. It is highly recommended to a candidate to do a thorough study and also get a hand full of the practice to clear SAS Predictive Modeling Using SAS Enterprise Miner 14 exam without any hiccups.

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