SAS A00-240 Certification Exam Syllabus

This page is a one-stop solution for any information you may require for SAS Certified Statistical Business Analyst Using SAS 9 - Regression and Modeling (A00-240) Certification exam. The SAS A00-240 Exam Summary, Syllabus Topics and Sample Questions provide the base for the actual SAS Certified Statistical Business Analyst - Regression and Modeling exam preparation, we have designed these resources to help you get ready to take your dream exam.

The SAS Certified Statistical Business Analyst Using SAS 9 - Regression and Modeling credential is globally recognized for validating SAS Statistical Business Analyst knowledge. With the SAS Certified Statistical Business Analyst - Regression and Modeling Certification credential, you stand out in a crowd and prove that you have the SAS Statistical Business Analyst knowledge to make a difference within your organization. The SAS Certified Statistical Business Analyst Using SAS 9 - Regression and Modeling Certification (A00-240) exam will test the candidate's knowledge on following areas.

SAS A00-240 Exam Summary:

 Exam Name SAS Certified Statistical Business Analyst Using SAS 9 - Regression and Modeling Exam Code A00-240 Exam Duration 120 minutes Exam Questions 60 multiple-choice and short-answer questions Passing Score 68% Exam Price \$180 (USD) Training Exam Registration Pearson VUE Sample Questions SAS Statistical Business Analyst Certification Sample Question Practice Exam SAS Statistical Business Analyst Certification Practice Exam

SAS A00-240 Exam Topics:

Objective (weightage %) Details
ANOVA - (10%) - Verify the assumptions of ANOVA
- Analyze differences between population means using the GLM and TTEST procedures
- Perform ANOVA post hoc test to evaluate treatment effect
- Detect and analyze interactions between factors
Linear Regression - (20%) - Fit a multiple linear regression model using the REG and GLM procedures
- Analyze the output of the REG procedure for multiple linear regression models
- Use the REG procedure to perform model selection
- Assess the validity of a given regression model through the use of diagnostic and residual analysis
Logistic Regression - (25%) - Perform logistic regression with the LOGISTIC procedure
- Optimize model performance through input selection
- Interpret the output of the LOGISTIC procedure
- Score new data sets using the LOGISTIC and SCORE procedures
Prepare Inputs for Predictive Model Performance - (20%) - Identify potential problems with input data
- Use the DATA step to manipulate data with loops, arrays, conditional statements and functions
- Reduce the number of categorical levels in a predictive model
- Screen variables for irrelevance using the CORR procedure
- Screen variables for non-linearity using empirical logit plots
Measure Model Performance - (25%)
- 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

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 Statistical Business Analyst (A00-240) 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 Certified Statistical Business Analyst Using SAS 9 - Regression and Modeling exam without any hiccups.