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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. In model assessment, why might you need to assess residuals and other model diagnostics to choose an appropriate distribution and link function?

A) To ensure that predictor variables are not highly correlated
B) To verify if the chosen model assumptions are met and make adjustments if necessary
C) To calculate the p-values of predictor variables
D) To determine the order of predictor variables in the model

2. When filtering data for a model in SAS Visual Analytics, what can you do to exclude selections and filter data?

A) Apply a data filter on the visualization
B) Define a filter condition using the interactive filter pane
C) Specify exclusion criteria in the data source properties
D) Use the exclude option when setting up a filter

3. Explain what an icicle plot represents in decision tree analysis.

A) It summarizes the performance metrics of the decision tree.
B) It visualizes the distribution of data points in each leaf node.
C) It displays the hierarchical structure of the decision tree.
D) It shows the feature importance for each variable in the tree.

4. When building a Generalized Linear Model in SAS Visual Statistics, which link function is available?

A) Gaussian
B) Poisson
C) Negative Binomial
D) Log

5. 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) Transforming a variable
D) Replacing dirty data

Solutions: