Pass your actual test at first attempt with SASInstitute A00-485 training material
Updated: Aug 10, 2026
No. of Questions: 190 Questions & Answers with Testing Engine
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| Certification Vendor: | SAS Institute |
| Exam Name: | Modeling Using SAS Visual Statistics |
| Exam Number: | A00-485 |
| Available Languages: | English |
| Real Exam Qty: | 55-60 |
| Exam Format: | Multiple choice, Short answer |
| Exam Duration: | 110 minutes |
| Exam Price: | $120 USD |
| Certificate Validity Period: | 5 years |
| Passing Score: | 68% |
| Recommended Training: | Official Exam Content Guide SAS Visual Statistics in SAS Viya: Interactive Model Building |
| 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 |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: SAS Visual Statistics Cross-functional Tasks | 22% | - Use interactive group-by functionality - Prepare data using SAS Visual Analytics - Filter data used for a model - Perform model validation |
| Topic 2: Model Comparison and Scoring | 9% | - Compare multiple models using fit statistics - Apply models to score new data |
| Topic 3: Building and Assessing Segmentation Models | 28% | - Analyze and interpret cluster results - Assess and interpret decision tree performance - Perform supervised segmentation using decision trees - Perform unsupervised segmentation using cluster analysis |
| Topic 4: Building and Assessing Regression-type Models | 41% | - Perform nonparametric logistic regression modeling - Perform linear regression modeling - Assess model fit and diagnostics - Explain concepts of linear models - Perform generalized additive modeling - Perform generalized linear regression modeling |
1. When performing a logistic regression in SAS Visual Statistics, the default prediction cutoff is .50. If you increase the cutoff to .80 then derive predicted values, which statement is the expected outcome?
A) The predicted events increase and the predicted probabilities remain unchanged.
B) The predicted events remain unchanged and the predicted probabilities decrease.
C) The predicted events remain unchanged and the predicted probabilities increase.
D) The predicted events decrease and the predicted probabilities remain unchanged.
2. Refer to the exhibit:
Based on the Validation Data in the Model Comparison output which conclusions are valid? (Choose two.)
A) Logistic Regression model would be selected at lift=20
B) Logistic Regression model would be selected at lift=5
C) Decision Tree model would be selected at lift=5
D) Decision Tree model would be selected at lift=20
3. An analyst wants to limit data to a certain demographic and build a decision tree model.
Which approach should the analyst take?
A) Create a new data hierarchy.
B) Create a report filter.
C) Create an SQL query from the filters tab.
D) Create a new ranks variable on age and sort descending on that variable.
4. Which statement is true about performing regressions in SAS Visual Statistics?
A) You can build neither a linear regression nor a logistic regression with a generalized linear model.
B) You can specify a multinomial classifier as the response variable with linear regression.
C) You can build both a linear regression or a logistic regression with a generalized linear model.
D) You can specify an ordinal classifier as the response variable with linear regression.
5. You have a Partition column in your data that takes on values of 0, 1, and 2.
What happens, by default, if you define a Partition data item from this variable?
A) Observations with a value of 0 will be used as Training data.
B) Observations with a value of 1 will be used as Training data.
C) Observations with a value of 2 will be used as Training data.
D) No partition will be used because there are more than two levels.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B,D | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: B |
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