What Is the SAS A00-240 Certification?

The SAS A00-240 is the exam code for the SAS Statistical Business Analysis Using SAS 9 – Regression and Modeling credential, issued by SAS Institute. It validates a candidate’s ability to apply statistical methods — including ANOVA, linear and logistic regression, predictive model input preparation, and model performance measurement — using SAS 9 software. The exam is administered through Pearson VUE at $180 USD per attempt.

SAS Institute is the world’s largest privately held software company and has been central to analytics in government, healthcare, finance, and research for decades. The A00-240 sits within SAS’s Advanced Analytics credential family, alongside certifications like the SAS Certified Data Scientist.

Unlike vendor-neutral statistics certifications, A00-240 requires hands-on familiarity with SAS 9 procedures — PROC LOGISTIC, PROC REG, PROC GLM, and PROC ANOVA. Candidates who can interpret SAS output, perform model selection, and evaluate predictive accuracy will find the exam well aligned with their daily work.

The credential is globally recognized and has become a benchmark for analysts and statisticians who use SAS in production environments. Employers in pharmaceuticals, financial services, retail analytics, and government frequently list SAS proficiency as a required skill, and the A00-240 provides a verifiable, exam-backed demonstration of that proficiency. Explore the SAS analyst certification pathway to understand where A00-240 fits in the broader SAS credential ecosystem.

SAS A00-240 Exam Format: Questions, Time, and Passing Score

The SAS A00-240 exam consists of 60 scored multiple-choice questions, with up to 5 additional unscored pilot items included throughout. Candidates have 110 minutes to complete the exam and must achieve a passing score of 68%. The exam costs $180 USD worldwide and is delivered through Pearson VUE, either at a test center or via online proctoring.

The unscored pilot items are embedded within the exam and candidates cannot identify which questions are unscored. This means every question should be treated with equal effort. Time management is critical: with 65 potential items in 110 minutes, candidates have approximately 100 seconds per question — enough time to work through moderate calculations, but not enough to revisit every answer.

SAS Institute recommends the Statistics 1 and Predictive Modeling Using Logistic Regression courses as preparation pathways. Academic discounts are available for students and educators — check the official A00-240 credential page for current pricing and discount eligibility.

What Are the Five A00-240 Exam Domains?

The SAS A00-240 exam is divided into five domains, each with a defined weighting that determines how many questions appear from that area. Logistic Regression and Measuring Model Performance are each worth 25%, making them the most heavily tested content areas. ANOVA carries the lowest weight at 10%. Understanding this distribution is essential for allocating study time effectively.

The 10% ANOVA weighting means only about 6 questions will come from that domain. Candidates who are short on study time can cover ANOVA at a conceptual level — understanding assumptions (normality, equal variance), interpreting F-statistics, and applying LSMEANS with Tukey or Dunnett adjustments — without deep-diving into every variant.

Linear Regression (20%) demands familiarity with PROC REG, coefficient interpretation, and diagnostic outputs including residual plots and Cook’s D. Model selection methods — forward, backward, and stepwise — are explicitly tested and require hands-on familiarity with SAS output.

How to Master Logistic Regression for the A00-240 Exam

Logistic Regression is the single heaviest domain on the SAS A00-240 exam at 25%, representing roughly 15 questions. The A00-240 focuses specifically on binary logistic regression using PROC LOGISTIC in SAS 9. Candidates must understand how to specify the model, interpret key output statistics, select input variables, score new data, and evaluate model fit using AIC and log-likelihood measures.

Binary Logistic Regression with PROC LOGISTIC

The exam tests PROC LOGISTIC end-to-end — from model specification to interpretation of the odds ratio table. Candidates need to understand what the linear logit function assumption means and how to verify it. The DESCENDING option in PROC LOGISTIC, which changes the reference event, is a common exam topic.

Output interpretation questions frequently target the “Analysis of Maximum Likelihood Estimates” table. Candidates should know how to read Wald chi-square statistics, interpret odds ratios greater and less than 1, and identify which predictors are statistically significant at a given alpha level.

Variable Selection and Model Optimization

The BACKWARD selection method within PROC LOGISTIC is explicitly covered in the AnalyticsExam sample questions, and candidates should know how AIC and log-likelihood change as variables are dropped. The exam also covers the SELECTION= option and how different selection methods behave in SAS output.

Scoring new data with a trained logistic model — using PROC LOGISTIC with the SCORE statement or PROC SCORE — is tested as a practical application. Candidates must understand how posterior probabilities are generated and what they mean for classification decisions. Practicing with the A00-240 practice exam on AnalyticsExam is one of the most effective ways to build familiarity with the types of PROC LOGISTIC output questions that appear on the actual exam.

What Does “Preparing Inputs for Predictive Models” Actually Cover?

Domain 4 of the SAS A00-240 exam — Preparing Inputs for Predictive Models, weighted at 20% — tests a candidate’s ability to identify and address data quality challenges before modeling begins. This includes recognizing problems like missing values, outliers, and class imbalance, as well as applying SAS techniques to screen variables and improve categorical inputs before feeding data into a regression model.

Variable Screening Techniques

Two statistical measures appear prominently in the A00-240 sample questions: Spearman correlation and Hoeffding’s D. Both are used to screen potential predictor variables for their association with the target variable before model building. Candidates should know when each measure is appropriate and how to interpret their outputs in a SAS context.

Spearman correlation is rank-based and suitable for detecting monotonic relationships, including non-linear ones. Hoeffding’s D captures more complex dependency patterns, including non-monotonic relationships that Spearman would miss. The exam may present scenarios where one or both measures suggest a variable worth including or excluding.

Categorical Input Handling

Categorical predictors require special treatment before entering a regression model in SAS. Domain 4 covers methods for grouping sparse categories, handling high-cardinality categorical variables, and improving the predictive power of categorical inputs through binning or effect coding. Understanding how CLASS statements in SAS procedures handle categorical variables — including the default reference-cell coding — is directly testable.

Missing data handling is also covered here. The exam tests candidates’ awareness of how PROC LOGISTIC and PROC REG handle records with missing values by default (complete-case analysis) and what impact this has on model estimates. This domain rewards candidates who think about data preparation as an analytical step, not just a cleaning exercise. For comparison with another SAS exam that also involves data preparation in SAS 9, see this guide on SAS A00-260 exam preparation.

How Is Model Performance Measured on the A00-240 Exam?

Domain 5 — Measuring Model Performance — is the joint heaviest domain at 25%, covering the techniques used to assess how well a predictive model generalizes to new data. The SAS A00-240 exam tests the concept of honest assessment (evaluating a model on data not used during training), confusion matrix interpretation, ROC curves, lift charts, and gains charts — all critical tools for validating regression and classification models in practice.

Confusion Matrix and Classification Metrics

The confusion matrix is the foundation of classification model evaluation. The exam tests interpretation of true positives, false positives, true negatives, and false negatives, and the downstream metrics they produce: accuracy, sensitivity (recall), specificity, and the false positive rate. Candidates must understand what each metric prioritizes — sensitivity favors catching positives, while specificity favors avoiding false alarms.

Setting decision cut-off values for scoring — the threshold at which a predicted probability is classified as a positive outcome — is explicitly tested. Changing the cut-off moves the confusion matrix; the exam may ask candidates to identify the optimal cut-off for a given business objective.

ROC Curves, Lift Charts, and Gains Charts

The ROC (Receiver Operating Characteristic) curve plots sensitivity against the false positive rate across all possible cut-off values. The AUC (area under the ROC curve) quantifies overall model discrimination. A random classifier has an AUC of 0.5; a perfect classifier has an AUC of 1.0. The exam requires candidates to interpret AUC values and compare models using ROC curves.

Lift charts and gains charts visualize how much better a model performs compared to random targeting. These charts are frequently used in marketing and risk analytics, and the exam presents them in practical business scenarios. Candidates should know how to read a lift chart’s y-axis (lift ratio) and understand what “a lift of 3 in the first decile” means for business decision-making.

Training/validation split is the core honest assessment technique. Candidates must understand why a model should be evaluated on held-out data and how to interpret differences in training versus validation performance as a signal of overfitting.

How Difficult Is the SAS A00-240 Exam?

The SAS A00-240 exam is moderately difficult for candidates with active SAS 9 experience, but significantly challenging for those approaching it purely through reading. The 68% passing threshold means candidates must answer approximately 41 of 60 scored questions correctly. The exam’s difficulty comes not from obscure facts but from applied interpretation — reading SAS output tables, comparing model metrics, and applying the right procedure to a described scenario.

The two heaviest domains — Logistic Regression and Measuring Model Performance — each require practical, hands-on familiarity with PROC LOGISTIC output and ROC/lift chart interpretation. Candidates who have worked through real SAS datasets and can read confusion matrices intuitively will find those 15-question domains manageable. Those studying theory without running SAS code often struggle with the output-reading questions.

ANOVA (10%) and Linear Regression (20%) are well within reach for anyone with a statistics background, even without deep SAS experience. The PROC GLM and PROC REG output formats are consistent, and the conceptual questions are straightforward once the domain vocabulary (LSMEANS, residual plots, Cook’s D) is learned.

“Being able to search for employers who use SAS and show them that I have these skills and I’m certified in using this technology… it’s an amazing thing.”

Most candidates with six to eight weeks of focused study — combining SAS documentation review, practice questions, and hands-on SAS session time — report feeling adequately prepared. The AnalyticsExam practice pool of 230+ questions is structured to mirror the actual exam’s format and time constraints, making it one of the most practical preparation tools available. The SAS certification value report notes that 92% of SAS-certified professionals report greater confidence in their analytical abilities after earning their credential.

How Do You Register for the SAS A00-240 Exam?

The SAS A00-240 exam is registered through Pearson VUE, the global exam delivery network. Candidates create a Pearson VUE account, search for SAS exams, select A00-240, and choose between an in-person test center appointment or an online proctored session. The exam costs $180 USD worldwide, with academic discounts available for eligible students and educators.

The steps to register are straightforward:

1. Create or log into a Pearson VUE account at pearsonvue.com
2. Search for SAS Institute as the exam sponsor
3. Select the A00-240 exam and choose your preferred delivery method (test center or online)
4. Pick a date and time, pay the $180 exam fee, and receive a confirmation email

Online proctored delivery requires a webcam, microphone, and a clean, private testing environment. Pearson VUE’s OnVUE system performs a system check before the exam begins. Test center delivery is available globally through the Pearson VUE network, with locations in most major cities.

SAS Institute also offers a certification pathway on learn.sas.com, which includes course recommendations, sample questions, and practice exams to support preparation before scheduling. Reviewing the official exam content guide — available as a free PDF download from the SAS credential page — before scheduling is strongly recommended. It outlines every testable objective by domain, which directly informs study prioritization.

What Career Opportunities Come with SAS A00-240 Certification?

The SAS A00-240 certification positions analysts for roles in data analytics, statistical modeling, risk analysis, and business intelligence across industries where SAS is widely used — pharmaceuticals, financial services, healthcare, retail, and government. According to Indeed, the average data analyst earns $85,997 per year in the United States, with senior analysts averaging $105,361. SAS-specific skills consistently command premium compensation within those ranges.

The broader labor market trend strongly supports this credential. The U.S. Bureau of Labor Statistics projects a 34% growth in data scientist employment from 2024 to 2034 — among the fastest of any occupation — with approximately 23,400 new openings projected annually. The McKinsey Global Institute estimates that demand for data scientists in the U.S. will exceed supply by over 50% by 2026. Candidates who hold a verifiable SAS credential enter this market with a concrete skills signal that resumes alone cannot provide.

“Those with the right combination of skills will be in particularly high demand.”

The ROI of SAS certification extends beyond initial hiring. According to IDC research cited by SAS Institute, organizations see up to $30,000 ROI per credentialed employee through improved productivity and higher project success rates. The Pearson VUE 2023 Value of IT Certification Report found that 64% of SAS-certified professionals received a promotion or salary increase after earning their certification, and 81% reported increased confidence to pursue new job opportunities.

Job titles commonly associated with the A00-240 credential include Statistical Analyst, Predictive Modeler, Data Scientist, Quantitative Analyst, and Clinical SAS Programmer. The pharmaceutical and life sciences sector is particularly active in requiring SAS certification, where regulatory submissions demand reproducible, auditable analytics workflows. See the data analyst salary data on Indeed for current compensation ranges by geography and experience level, and review the data scientist job outlook from BLS for long-term demand projections.

Frequently Asked Questions About the SAS A00-240 Exam

What is the SAS A00-240 exam?

The SAS A00-240 is the exam code for the SAS Statistical Business Analysis Using SAS 9 – Regression and Modeling certification. It is issued by SAS Institute and tests competency across five domains: ANOVA, linear regression, logistic regression, preparing inputs for predictive models, and measuring model performance. The exam is delivered through Pearson VUE worldwide.

How many questions are on the A00-240 exam?

The A00-240 exam contains 60 scored multiple-choice questions, plus up to 5 unscored pilot items that are not identified during the exam. Candidates should treat all questions equally, as there is no way to distinguish scored from unscored items.

What is the passing score for the A00-240?

The passing score for the SAS A00-240 exam is 68%. This means candidates must answer approximately 41 of the 60 scored questions correctly to earn the credential.

How long does the A00-240 exam take?

The SAS A00-240 exam has a total duration of 110 minutes (1 hour and 50 minutes). With up to 65 total items, candidates have approximately 100 seconds per question on average.

What does the A00-240 exam cost?

The SAS A00-240 exam costs $180 USD worldwide through Pearson VUE. Academic discounts are available for eligible students and educators. SAS Institute also offers bundled exam and training packages through learn.sas.com.

What are the five domains of the SAS A00-240 exam?

The five domains are: ANOVA (10%), Linear Regression (20%), Logistic Regression (25%), Preparing Inputs for Predictive Models (20%), and Measuring Model Performance (25%). Logistic Regression and Model Performance are the two heaviest domains and together account for half of all exam questions.

Do I need prerequisites to take the A00-240 exam?

SAS Institute does not publish formal prerequisites for the A00-240 exam. However, candidates are expected to have foundational knowledge of statistics, hands-on experience with SAS 9 programming, and practical exposure to regression and modeling concepts before attempting the exam.

How do I register for the SAS A00-240 exam?

The A00-240 exam is registered through Pearson VUE. Create or log into a Pearson VUE account, search for SAS Institute as the exam sponsor, select A00-240, choose in-person or online proctored delivery, and complete payment of $180 USD.

Is the SAS A00-240 exam hard?

The A00-240 is moderately difficult, particularly for candidates without hands-on SAS 9 experience. The exam emphasizes applied output interpretation — reading PROC LOGISTIC and PROC REG tables, comparing ROC curves, and evaluating confusion matrix metrics — which requires practical familiarity beyond theoretical study. Candidates with six to eight weeks of focused preparation typically report feeling ready.

What jobs can I get with SAS A00-240 certification?

Common roles for A00-240 holders include Statistical Analyst, Predictive Modeler, Quantitative Analyst, Data Scientist, and Clinical SAS Programmer. Industries with high demand include pharmaceutical/life sciences, financial services, healthcare, retail analytics, and government. The U.S. BLS projects 34% job growth for data scientists from 2024 to 2034, and the Pearson VUE 2023 report found that 64% of SAS-certified professionals received a promotion or salary increase after certification.

Conclusion

The SAS A00-240 certification rewards analysts who combine statistical knowledge with hands-on SAS 9 proficiency. With 50% of the exam concentrated in Logistic Regression and Measuring Model Performance, effective preparation means going beyond reading — running PROC LOGISTIC, interpreting ROC curves, and working through confusion matrix scenarios with real data.

The five exam domains are well defined, and the domain weights make study prioritization straightforward. Candidates should invest the most time in Logistic Regression and Model Performance, build a solid foundation in Linear Regression, and cover ANOVA at a conceptual level. Hands-on SAS practice, combined with rigorous use of practice exams that mirror the actual format, consistently produces the best preparation outcomes.

The credential opens doors in some of the highest-demand sectors for analytical talent. Start your preparation by reviewing the official exam objectives on the SAS credential page, then work systematically through each domain using practice questions to identify gaps before exam day.