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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

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

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

2. What does the Variable Importance feature help with when choosing the best fitting group-by model?

A) Identifying the most influential predictors
B) Assessing the significance of each predictor
C) Understanding the distribution of the target variable
D) Evaluating the multicollinearity among predictors

3. Refer to the following exhibit:

After creating a decision tree in SAS Visual Statistics, what is the value in deriving a Leaf ID Variable?

A) Use the leaf ID data item in filters in other types of visualizations.
B) Use the leaf ID to rank order by posterior probabilities.
C) Use the leaf ID to identify the most important variables.
D) Use the leaf ID to identify clusters.

4. How can you export score code generated by SAS Visual Statistics for a trained model?

A) By copying and pasting it into a text editor
B) By printing it directly from the SAS Visual Statistics interface
C) By exporting it as a standalone script file
D) By exporting it as a PDF document

5. When combining multiple categories into fewer levels in SAS Visual Analytics, what technique is often used?

A) Principal Component Analysis (PCA)
B) Binning or grouping
C) Variable transformation
D) Data imputation

Solutions: