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
How are predictions formulated for a decision tree when a new data point is presented to the model?
- A . By averaging the values of all leaf nodes
- B . By following a path through the tree to a leaf node and returning the majority class or mean value of that node
- C . By calculating the Euclidean distance to all tree nodes and selecting the closest one
- D . By using a weighted sum of all decision rules in the tree
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 report filter.
- B . Create a new data hierarchy.
- C . Create an SQL query from the filters tab.
- D . Create a new ranks variable on age and sort descending on that variable.
Refer to the exhibit:
What does the Residual Plot from a linear regression model reveal?
- A . It suggests the error variance is constant.
- B . The model is not capturing all of the available signals in the data.
- C . It suggests the errors are uncorrelated.
- D . There is an approximately equal number of positive and negative residuals.
When assigning variable roles for a decision tree, which role typically represents the target variable you want to predict?
- A . Input
- B . Predictor
- C . Output
- D . Splitter
You would like to see the minimum and maximum values for all of your measures so that you can filter variables as needed.
Which is the most efficient way to do that?
- A . Create aggregated measures using the Min and Max aggregations.
- B . Select a histogram object for each measure.
- C . Select View Measure Details within the Actions menu to the right of the dataset name.
- D . Create a calculated item subtracting the Min aggregation from the Max aggregation.
What is the purpose of deriving a cluster ID variable in cluster analysis?
- A . To assign cluster labels to data points
- B . To create a scatter plot of data points
- C . To calculate the distance between clusters
- D . To set parallel coordinate properties
What does it mean to prune a decision tree?
- A . To remove all leaf nodes and keep only the root node
- B . To trim branches of the tree to reduce complexity and overfitting
- C . To increase the depth of the tree to improve accuracy
- D . To convert the decision tree into a random forest model
What does a ROC chart help assess in model comparison?
- A . The stability of model predictions
- B . The distribution of residuals in the models
- C . The trade-off between true positives and false positives at different thresholds
- D . The correlation between predictor variables
When interpreting an Influence plot, what does it typically show?
- A . The distribution of residuals in the model
- B . The effect of each predictor variable on the response
- C . The interaction between two predictor variables
- D . The relationship between the response variable and the intercept term
Which of the following criteria are commonly used for pruning a decision tree?
- A . Minimum split count
- B . Maximum depth
- C . Maximum leaf nodes
- D . Maximum tree height