Expected A00-240 Exam Topics, as suggested by SAS :

• Module 1: Identify the potential challenges when preparing input data for a model/ Detect and analyze interactions between factors
• Module 2: Model selection and validation using training and validation data/ Perform ANOVA post hoc test to evaluate treatment effect
• Module 3: Establish effective decision cut-off values for scoring/ Fit a multiple linear regression model using the REG and GLM procedures
• Module 4: Create and interpret graphs (ROC, lift, and gains charts) for model comparison and selection/ Use the REG or GLMSELECT procedure to perform model selection
• Module 5: Screen variables for irrelevance and non-linear association using the CORR procedure/ Perform logistic regression with the LOGISTIC procedure
• Module 6: Screen variables for non-linearity using empirical logit plots/ Score new data sets using the LOGISTIC and PLM procedures
• Module 7: Apply the principles of honest assessment to model performance measurement/ Optimize model performance through input selection
• Module 8: Analyze differences between population means using the GLM and TTEST procedures/ Assess classifier performance using the confusion matrix
• Module 9: Assess the validity of a given regression model through the use of diagnostic and residual analysis/ Prepare Inputs for Predictive Model Performance
• Module 10: Analyze the output of the REG, PLM, and GLM procedures for multiple linear regression models/ Improve the predictive power of categorical inputs