Feedback keeps a question bank alive, and GuideTorrent collects it constantly from A00-480 candidates, running regular reviews of the SASInstitute SAS Certified Associate: Applied Statistics for Machine Learning material so that what you study reflects the exam as it is, not as it was.
SASInstitute A00-480 Exam Overview:
| Certification Vendor: | SAS Institute |
|---|---|
| Exam Name: | Applied Statistics for Machine Learning |
| Exam Number: | A00-480 |
| Exam Price: | 120 USD |
| Certificate Validity Period: | 5 years |
| Passing Score: | 68% |
| Real Exam Qty: | 60 |
| Available Languages: | English |
| Exam Format: | Multiple-choice, Short-answer |
| Exam Duration: | 105 minutes |
| Recommended Training: | SAS Applied Statistics for Machine Learning Course |
| Exam Registration: | Pearson VUE Registration SAS Certification Portal |
| Exam Way: | Online proctored or in-person at Pearson VUE test centers |
| Pre Condition: | No formal prerequisites; basic knowledge of statistics and SAS programming recommended |
| Official Syllabus URL: | https://www.sas.com/en_us/certification/credentials/bi-analytics/applied-statistics-for-machine-learning.html |
SASInstitute A00-480 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Statistical Foundations of Machine Learning | 18-24% | - Overfitting and model complexity - Cross-validation techniques - Bias-variance trade-off - Model performance metrics |
| Predictive Modeling Using Logistic Regression | 25-31% | - Binary logistic regression model - Interpretation of odds ratios - Classification metrics and model evaluation - Model building and variable selection |
| Fundamental Statistical Concepts | 17-21% | - Probability concepts - Descriptive statistics and distributions - Data types and measurement scales - Hypothesis testing and confidence intervals |
| Explanatory Modeling Using Linear Regression | 18-24% | - Model assumptions and diagnostics - Goodness of fit measures - Simple and multiple linear regression - Interpretation of coefficients and output |
| Statistics and Machine Learning | 9-12% | - Relationship between statistical methods and machine learning |
A00-480 Exam Facts and the Service Behind Them
- Explanatory Modeling Using Linear Regression (18-24%)
- Fundamental Statistical Concepts (17-21%)
- Statistical Foundations of Machine Learning (18-24%)


