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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. What is one advantage of using SAS Studio to score new data with exported score code?

A) It automatically optimizes the scoring process.
B) It requires no additional software installation.
C) It allows for direct integration with Hadoop clusters.
D) It provides advanced visualization capabilities.

2. When implementing score code in SAS Enterprise Guide, which step is typically involved in the process?

A) Dragging and dropping the score code file into the project
B) Running a SQL query to generate predictions
C) Converting the code to a macro for automation
D) Opening the code file and manually executing it

3. In the below linear regression results display, where would you click to access the parameter estimates?

4. How are predictions formulated for a decision tree when a new data point is presented to the model?

A) By using a weighted sum of all decision rules in the tree
B) By averaging the values of all leaf nodes
C) By calculating the Euclidean distance to all tree nodes and selecting the closest one
D) By following a path through the tree to a leaf node and returning the majority class or mean value of that node

5. In SAS Visual Statistics, how can you use a derived cluster ID variable in another visualization?

A) By embedding it within a scatter plot
B) By exporting it as a separate dataset
C) By linking it to a table in a database
D) By including it as a dimension in a new visualization

Solutions: