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Updated: Aug 01, 2026
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SASInstitute A00-485 Exam Overview:
| Certification Vendor: | SAS Institute |
| Exam Name: | Modeling Using SAS Visual Statistics |
| Exam Number: | A00-485 |
| Exam Price: | $120 USD |
| Available Languages: | English |
| Real Exam Qty: | 55-60 |
| Exam Format: | Multiple choice, Short answer |
| Certificate Validity Period: | 5 years |
| Exam Duration: | 110 minutes |
| Passing Score: | 68% |
| Recommended Training: | SAS Visual Statistics in SAS Viya: Interactive Model Building Official Exam Content Guide |
| Exam Registration: | SAS Certification Portal Pearson VUE Registration |
| Sample Questions: | SASInstitute A00-485 Sample Questions |
| Exam Way: | Online proctored or in-person at Pearson VUE authorized test centers |
| Pre Condition: | No formal prerequisites; basic knowledge of statistics and SAS Viya interface recommended |
| Official Syllabus URL: | https://www.sas.com/en_my/certification/credentials/bi-analytics/modeling-using-visual-statistics.html |
SASInstitute A00-485 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| SAS Visual Statistics Cross-functional Tasks | 22% | - Use interactive group-by functionality - Prepare data using SAS Visual Analytics - Perform model validation - Filter data used for a model |
| Building and Assessing Regression-type Models | 41% | - Perform generalized additive modeling - Assess model fit and diagnostics - Explain concepts of linear models - Perform generalized linear regression modeling - Perform nonparametric logistic regression modeling - Perform linear regression modeling |
| Model Comparison and Scoring | 9% | - Compare multiple models using fit statistics - Apply models to score new data |
| Building and Assessing Segmentation Models | 28% | - Perform supervised segmentation using decision trees - Analyze and interpret cluster results - Perform unsupervised segmentation using cluster analysis - Assess and interpret decision tree performance |
SASInstitute Modeling Using SAS Visual Statistics Sample Questions:
1. What are the benefits of applying filters to both visualization and data source in SAS Visual Analytics?
A) Improved security by restricting access to specific data
B) Increased performance by reducing data retrieval from the source
C) Enhanced user experience by providing more interactive filtering options
D) Consistency in data presentation across multiple visualizations
2. Which statement is true about Decision Trees in SAS Visual Statistics
A) Decision trees cannot handle continuous dependent variables.
B) Decision trees cannot handle missing values.
C) Decision trees can be used for outlier detection.
D) Decision trees can be used for classification and estimation.
3. Select the best distribution to model with linear regression.
A) 
B) 
C) 
D) 
4. When evaluating a Misclassification plot, what does it typically show?
A) The relationship between two predictor variables
B) The distribution of predictor variables in the dataset
C) The trade-off between false positives and false negatives at different thresholds
D) The p-values associated with the predictor variables
5. What are some properties that can be defined in a linear regression model?
A) Confusion matrix and accuracy
B) Maximum depth and minimum leaf size
C) Coefficients, p-values, and R-squared
D) Learning rate and number of iterations
Solutions:
| Question # 1 Answer: B,D | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: C |
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