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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Which statement is TRUE regarding a generalized additive model (GAM) in SAS Visual Analytics?

A) The roughness penalty controls the balance between goodness of fit and the roughness of the spline curve.
B) GAM assumes a strict linear relationship between the predictors and the response function.
C) A larger maximum degrees of freedom for the univariate spline term enforces a less complex fit.
D) Specification of a spline effect is optional.

2. How can you derive a leaf ID for use in other models or analyses based on a decision tree?

A) By applying a clustering algorithm to leaf node values
B) By concatenating the decision rules leading to a leaf node
C) By extracting the node IDs of all leaf nodes
D) By calculating the distance between data points and leaf nodes

3. Which SAS tool is most suitable for managing explorations and visualizations in a business intelligence context?

A) SAS Studio
B) SAS Enterprise Guide
C) SAS Enterprise Miner
D) SAS Visual Data Builder

4. Given a scenario, what fit statistic can be used to select a champion model in model comparison?

A) The p-value of the intercept term
B) The R-squared value
C) The AUC (Area Under the Curve)
D) The learning rate of the model

5. 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 ranks variable on age and sort descending on that variable.
B) Create a report filter.
C) Create an SQL query from the filters tab.
D) Create a new data hierarchy.

Solutions: