SAS Institute A00-485 Practice Exams
Last updated on Oct 22,2026- Exam Code: A00-485
- Exam Name: Modeling Using SAS Visual Statistics
- Certification Provider: SAS Institute
- Latest update: Oct 22,2026
Refer to the exhibits:
Exhibit 1:
Exhibit 2:
An analyst has created a cluster model based on the settings in Exhibit 1 and chose to derive a cluster ID variable.
Why are there 5 cluster IDs in Exhibit 2 based on these settings?
- A . Cluster Matrix Visible Roles setting is 5.
- B . There are observations with missing values.
- C . Variable Standardization has been chosen.
- D . Parallel Coordinates Visible Roles setting is 5.
When performing decision tree analysis in SAS Visual Statistics, how does the property setting for "include missing" modify the usage of missing values within categorical discrete predictors?
- A . imputes the mean of the predictor’s known values
- B . imputes the median of the predictor’s known values
- C . assigns its own level
- D . assigns the smallest available machine value
Refer to the exhibit from a linear regression model in SAS Visual Statistics:
Based on the table above and assuming a significance level of 0.05, what can be concluded about the linear regression model?
- A . The Intercept is an important predictor of the response.
- B . Age is a significant predictor of the response.
- C . For one one-unit increase in Average Sales, there is an expected increase in the response of 4475.443.
- D . For a 1371.5 unit decrease in Total Promos, there is an expected one-unit increase in the response.
In SAS Visual Analytics, which of the following tasks involves converting a categorical variable into a numerical one?
- A . Aggregating a measure
- B . Creating a dummy variable
- C . Replacing dirty data
- D . Transforming a variable
Refer to the exhibit:
An economist is predicting demand using a linear regression model.
If all of the effect variables equal 1, what is the predicted demand?
- A . 352.415433
- B . 352.405432
- C . 362.415133
- D . 352.454433
Refer to the exhibit from a linear regression model in SAS Visual Statistics.
Based on the table above and assuming a significance level of 0.05, what can be concluded about the linear regression model?
- A . The Intercept is an important predictor of the response.
- B . RestPulse is a significant predictor of the response.
- C . For one one-unit increase in RunTime, there is an expected increase in the response of 2.6287.
- D . For a .03696 unit decrease in RunPulse, there is an expected one-unit increase in the response.
What is variable selection in SAS Visual Statistics used for in logistic regression modeling?
- A . To exclude all predictor variables
- B . To identify and choose relevant predictor variables
- C . To assign roles to variables
- D . To specify the distribution of the response variable
What information is conveyed by a Summary bar in model assessment?
- A . The standard deviation of the predictor variables
- B . The summary statistics of the response variable
- C . The performance metrics of the model, such as AUC and KS Statistic
- D . The distribution of residuals in the model
What are variable selection methods for decision trees used to determine the most important features?
- A . Recursive feature elimination
- B . Principal Component Analysis (PCA)
- C . Information gain or Gini impurity reduction
- D . F-test for feature significance
The Leaf size property within a decision tree is changed from 5 to 10 and no other stopping rules were met.
How will the tree change?
- A . The tree will train more slowly.
- B . The tree will be more complex.
- C . The tree will be harder to interpret.
- D . The tree will be simpler.