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SASInstitute A00-240 exam : SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential

A00-240 Exam Simulator
  • Exam Code: A00-240
  • Exam Name: SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential
  • Updated: Oct 28, 2026
  • Q & A: 100 Questions and Answers
  • SASInstitute A00-240 Q&A - in .pdf

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SASInstitute A00-240 exam simulator

Who should take the A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam

Individuals should pursue the A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Exam if they want to demonstrate their expertise and ability to access and manage data to perform queries and analyses from A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certification

  • Stastical Analyst, or
  • Business Analyst
  • Anyone writing & interested in Statistical Business Analysis

A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certification Path

The A00-240: Statistical Business Analysis Using SAS®9:Regression and Modeling Certification is one of the highest level of certification mainly focussing to the Advanced statistical analysis.

if you pass your exam and meet all requirements for a credential, you will receive an e-mail from SAS within 72 business hours with instructions providing access to your certificate and logo through the SAS Certification Manager. You will also receive an email from Acclaim with access to your digital badge. For questions regarding access to either of these, please visit SAS Website.

SASInstitute A00-240 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Screen variables for irrelevance and non-linear association using the CORR procedure
  • Perform logistic regression with the LOGISTIC procedure
Topic 2
  • 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 3
  • Analyze differences between population means using the GLM and TTEST procedures
  • Assess classifier performance using the confusion matrix
Topic 4
  • Identify the potential challenges when preparing input data for a model
  • Detect and analyze interactions between factors
Topic 5
  • Model selection and validation using training and validation data
  • Perform ANOVA post hoc test to evaluate treatment effect
Topic 6
  • Apply the principles of honest assessment to model performance measurement
  • Optimize model performance through input selection
Topic 7
  • Screen variables for non-linearity using empirical logit plots
  • Score new data sets using the LOGISTIC and PLM procedures

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

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