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

A00-240 real exams

Exam Code: A00-240

Exam Name: SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential

Updated: Sep 07, 2026

Q & A: 100 Questions and Answers

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Earning the SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential credential tells employers you can work with SASInstitute technologies at a professional level. Prepare for the A00-240 exam in 2026 with the 100 expert-prepared practice questions from Actual4Exams.

SASInstitute A00-240 Exam Overview:

Certification Vendor:SAS Institute
Exam Name:SAS Statistical Business Analysis Using SAS 9: Regression and Modeling
Exam Number:A00-240
Exam Duration:110 minutes
Certificate Validity Period:No expiration specified by SAS
Passing Score:68%
Exam Price:USD 180
Exam Format:Multiple Choice, Short Answer
Available Languages:English
Related Certifications:SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling
Real Exam Qty:60 scored questions (+ up to 5 unscored questions)
Sample Questions:Free Download A00-240 valid dump
Exam Way:Pearson VUE testing centers and SAS-authorized online exam delivery where available.
Pre Condition:No formal prerequisite exam is required. Candidates should have experience using SAS/STAT software for statistical analysis, regression modeling and predictive analytics.
Official Syllabus URL:https://www.sas.com/en_gb/certification/credentials/advanced-analytics/statistical-business-analyst.html

SASInstitute A00-240 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Prepare Inputs for Predictive Model Performance20%- Data Preparation
  • 1. Identify challenges in preparing model input data
  • 2. Use loops, arrays, functions and conditional statements
  • 3. Manipulate data using DATA step programming
- Variable Engineering and Screening
  • 1. Improve predictive power of categorical variables
  • 2. Screen variables for irrelevance
  • 3. Identify nonlinear associations using CORR procedure
  • 4. Use empirical logit plots for nonlinearity detection
Topic 2: Logistic Regression25%- Develop Logistic Models
  • 1. Perform logistic regression using the LOGISTIC procedure
  • 2. Optimize model performance through input selection
- Interpret and Deploy Models
  • 1. Score new data sets using LOGISTIC and PLM procedures
  • 2. Interpret LOGISTIC procedure output
Topic 3: ANOVA10%- ANOVA Concepts and Assumptions
  • 1. Identify appropriate ANOVA methods
  • 2. Verify ANOVA assumptions
- ANOVA Analysis
  • 1. Analyze differences between population means using GLM and TTEST procedures
  • 2. Evaluate treatment effects
  • 3. Perform post hoc tests
  • 4. Detect and analyze factor interactions
Topic 4: Linear Regression20%- Model Selection and Diagnostics
  • 1. Assess model validity
  • 2. Perform model selection using REG or GLMSELECT
  • 3. Conduct residual and diagnostic analysis
- Interpret Regression Results
  • 1. Interpret REG, PLM and GLM output
  • 2. Evaluate parameter estimates
- Build Regression Models
  • 1. Fit multiple linear regression models
  • 2. Use REG and GLM procedures
Topic 5: Measure Model Performance25%- Validation and Selection
  • 1. Compare and select predictive models
  • 2. Perform model validation using training and validation data
- Decision Optimization
  • 1. Evaluate scoring strategies
  • 2. Establish effective decision cutoff values
- Performance Visualization
  • 1. Create and interpret gains charts
  • 2. Create and interpret ROC charts
  • 3. Create and interpret lift charts
- Model Assessment
  • 1. Apply principles of honest assessment
  • 2. Assess classifier performance using confusion matrices

A00-240 Exam FAQ: What Candidates Ask About SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential

The A00-240 exam, officially known as SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential, is the SASInstitute test that leads to the SAS Institute Systems Certification certification at the Professional level. Passing it validates the skills employers expect from a certified professional. It is also associated with related credentials such as SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling.

The A00-240 exam contains 60 scored questions (+ up to 5 unscored questions) questions, and you have 110 minutes to complete them. Work out your per-question pace before test day, and flag slow items instead of stalling on them — time pressure, not knowledge, sinks many first attempts. Timed mock exams in the Actual4Exams test engines are the most reliable way to build that rhythm.

The passing score for the A00-240 exam is 68%, and the official registration fee is USD 180. If you miss the mark, a retake means paying the full fee again, so book your seat only when you are ready. A practical benchmark: score consistently above the passing line on timed practice tests before scheduling the real exam.

No formal prerequisite exam is required. Candidates should have experience using SAS/STAT software for statistical analysis, regression modeling and predictive analytics.

Entry requirements can change, so confirm the latest conditions on the official exam page: https://www.sas.com/en_gb/certification/credentials/advanced-analytics/statistical-business-analyst.html.

Yes. A free PDF demo of the SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential questions is available, so you can check the question style and answer quality before you pay. Every purchase also includes 365 days of free updates, and if the product expires you can renew the update service at a 50% discount from your member zone.

If you take the corresponding A00-240 exam within 60 days of purchase and do not pass, you can apply for a full refund under the 100% Money Back Guarantee: submit a scan of your enrollment slip and your official Score Report (PDF) within 2 days of the exam date, and the claim is processed within 7 days. Attempts made within 3 days of purchase, downloads without an actual exam attempt, free materials, and expired orders are not eligible, and the candidate name must match the payer name. Prefer new material instead of a refund? You can exchange your purchase for two free products of equal value and keep the update service on your original product. As for delivery, the files are available for instant download and are also emailed to you within one minute of payment — if nothing arrives within 2 hours, contact customer service. There is no limit on how many computers you can install the product on.

The official SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential outline is organized into 5 domains. The first three are:

  • ANOVA — 10% of the exam
  • Prepare Inputs for Predictive Model Performance — 20% of the exam
  • Linear Regression — 20% of the exam

See the complete exam topics section above for the full outline and the weighting of every domain.

SASInstitute SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling Credential Sample Questions:

Question #1

In partitioning data for model assessment, which sampling methods are acceptable? (Choose two.)

  • A. Simple random sampling without replacement
  • B. Simple random sampling with replacement
  • C. Stratified random sampling without replacement
  • D. Sequential random sampling with replacement
Answer: A,C
Question #2

An analyst compares the mean salaries of men and women working at a company.
The SAS data set SALARY contains variables:
* Gender (M or F)
* Pay (dollars per year)
Which SAS programs can be used to find the p-value for comparing men's salaries with women's salaries?
(Choose two.)

  • A. Option D
  • B. Option A
  • C. Option C
  • D. Option B
Answer: B,D
Question #3

Which characteristic of Studentized residuals indicate potential outliers?

  • A. Only studentized residuals less than negative two and greater than two
  • B. Only studentized residuals greater than negative two
  • C. Only studentized residuals greater than two
  • D. Only studentized residuals less than two and greater than negative two
Answer: C
Question #4

Refer to the confusion matrix:

Calculate the accuracy and error rate (0 - negative outcome, 1 - positive outcome)

  • A. Accuracy = 25/150, Error Rate = 44/150
  • B. Accuracy = 83/150, Error Rate = 67/150
  • C. Accuracy = 58/102, Error Rate = 23/48
  • D. Accuracy = 83/102, Error Rate = 67/102
Answer: C
Question #5

Given the following output from the LOGISTIC procedure:

Which variables, among those that are statistically significant at an alpha of 0.05, have the greatest and least relative importance on the fitted model?

  • A. Greatest: MBALeast: DOWN_AMT
  • B. Greatest: MBALeast: CASH
  • C. Greatest: DOWN_AMTLeast: CASH
  • D. Greatest: DOWN_AMTLeast: HOME
Answer: C
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