SAS A00-240 Exam Syllabus

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Before starting your A00-240 exam preparation, it is recommended to review the complete SAS Statistical Business Analysis SAS9: Regression and Model exam syllabus and carefully go through the exam objectives listed below. Once you understand the exam structure and objectives, you should practice using our free A00-240 questions. We also provide premium A00-240 practice test, fully updated according to the latest exam objectives, to help you accurately assess your preparedness for the actual exam.

SAS A00-240 Exam Objectives

Section	Weight	Objectives
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 factor
Linear Regression -	20%	Fit a multiple linear regression model using the REG and GLM procedures Analyze the output of the REG, PLM, and GLM procedures for multiple linear regression models Use the REG or GLMSELECT 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 PLM procedures
Prepare Inputs for Predictive Model Performance -	20%	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
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
Official Information		https://www.sas.com/en_us/certification/credentials/advanced-analytics/statistical-business-analyst.html

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