SASInstitute A00-240 Q&A - in .pdf

  • A00-240 pdf
  • Exam Code: A00-240
  • Exam Name: SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential
  • Updated: Aug 01, 2026
  • Q & A: 100 Questions and Answers
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  • A00-240 Testing Engine
  • Exam Code: A00-240
  • Exam Name: SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential
  • Updated: Aug 01, 2026
  • Q & A: 100 Questions and Answers
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How to Prepare For A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam

Preparation Guide for A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam

Introduction

SAS (previously “Statistical Analysis System”) may be a package suite designed by SAS Institute for advanced analytics, variable analyses, business intelligence, knowledge management, and prognosticative analytics.

A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling exam is administered by SAS and Pearson VUE. has created a track for IT professionals to certify as business analyst on SAS. This certification program provides SAS professionals a way to demonstrate their skills. The assessment is based on a rigorous exam using industry standard methodology to determine whether a candidate meets SAS's proficiency standards.

SAS® Certified Statistical Business Analyst for SAS®9 this credential is for professionals who use SAS/STAT® software to conduct and interpret complex statistical data analysis.

In this guide, we will cover the A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam, A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certified professional's salary and all aspects of the A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certification.

The SAS international Certification Program currently issues versioned accreditation that don't lapse.The version is indicated in the credential name.

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SASInstitute A00-240 Exam Syllabus Topics:

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

Reference: https://www.sas.com/en_us/certification/credentials/advanced-analytics/statistical-business-analyst.html

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