SAS A00-225 Certification Exam Syllabus

A00-225 Syllabus, A00-225 PDF Download, SAS A00-225 Dumps, SAS Advanced Analytics Professional Dumps PDF Download, SAS Advanced Predictive Modeling PDF DownloadThis page is a one-stop solution for any information you may require for SAS Advanced Predictive Modeling (A00-225) Certification exam. The SAS A00-225 Exam Summary, Syllabus Topics and Sample Questions provide the base for the actual SAS Certified Advanced Analytics Professional Using SAS 9 exam preparation, we have designed these resources to help you get ready to take your dream exam.

The SAS Advanced Predictive Modeling credential is globally recognized for validating SAS Advanced Analytics Professional knowledge. With the SAS Certified Advanced Analytics Professional Using SAS 9 Certification credential, you stand out in a crowd and prove that you have the SAS Advanced Analytics Professional knowledge to make a difference within your organization. The SAS Advanced Predictive Modeling Certification (A00-225) exam will test the candidate's knowledge on following areas.

SAS A00-225 Exam Summary:

Exam Name SAS Advanced Predictive Modeling
Exam Code A00-225
Exam Duration 110 minutes
Exam Questions 50 to 55 Multiple choices or short answer questions
Passing Score 67%
Exam Price $180 (USD)
Training
Exam Registration Pearson VUE
Sample Questions SAS Advanced Analytics Professional Certification Sample Question
Practice Exam SAS Advanced Analytics Professional Certification Practice Exam

SAS A00-225 Exam Topics:

 

Objective Details
Neural Networks (20%)
- Describe key concepts underlying neural networks
 
- Use two architectures offered by the Neural Network node to model either linear or non-linear input-output relationships
 
- Use optimization methods offered by the SAS Enterprise Miner Neural Network node to efficiently search the parameter space in a neural network
 
- Construct custom network architectures by using the NEURAL procedure (PROC Neural)
 
- Based upon statistical considerations, use either time delayed neural networks, surrogate models to augment neural networks
 
- Use the HP Neural Node to perform high-speed training of a neural network
 
Logistic Regression (30%)
- Score new data sets using the LOGISTIC and PLM procedures
 
- Identify the potential challenges when preparing input data for a model
 
- Use the DATA step to manipulate data with loops, arrays, conditional statements and functions
 
- Improve the predictive power of categorical inputs
 
- Screen variables for irrelevance and non-linear association using the CORR procedure
 
- Screen variables for non-linearity using empirical logit plots
 
- Apply the principles of honest assessment to model performance measurement
 
- Assess classifier performance using the confusion matrix
 
- Model selection and validation using training and validation data
 
- Create and interpret graphs (ROC, lift, and gains charts) for model comparison and selection
 
- Establish effective decision cut-off values for scoring
 
Predictive Analytics on Big Data (40%)
- Build and interpret a cluster analysis in SAS Visual Statistics
 
- Explain SAS high-performance computing
 
- Perform principal component analysis
 
- Analyze categorical targets using logistic regression in SAS Visual Statistics
 
- Analyze categorical targets using decision trees in SAS Visual Statistics
 
- Analyze categorical targets using decision trees in PROC IMSTAT
 
- Analyze categorical targets using logistic regression in PROC IMSTAT
 
- Build random forest models with PROC IMSTAT
 
- Analyze interval targets with SAS Visual Statistics
 
- Analyze interval targets with PROC IMSTAT
 
- Analyze zero inflated models with HPGLM in Enterprise Miner
 
Open Source Models in SAS (10%)
- Incorporate an existing R program into SAS Enterprise Miner
 
- Incorporate an existing Python program into SAS Enterprise Miner

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 Advanced Analytics Professional (A00-225) 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 Advanced Predictive Modeling exam without any hiccups.

Rating: 5 / 5 (59 votes)