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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. How can score code be implemented to score new data using SAS Enterprise Miner?

A) By importing the code into SAS Data Integration Studio
B) By pasting the code into a web browser
C) By creating a scoring node in a SAS Enterprise Miner process flow
D) By manually executing the code in a command-line interface

2. In the context of assessing model results, what information can be interpreted from the Fit Summary window?

A) The distribution of the response variable in the dataset
B) A list of all predictor variables used in the model
C) A summary of the model's goodness of fit and performance metrics
D) A detailed description of the data preprocessing steps

3. What is the purpose of applying a prediction cut-off in model assessment?

A) To determine the optimal threshold for classifying outcomes
B) To divide the dataset into training and testing sets
C) To calculate the p-values of predictor variables
D) To identify influential data points in the dataset

4. You want to filter out certain observations to analyze their effect on the model.

Which windows will achieve this? (Choose two.)

A) Influence Plot
B) Fit Summary
C) Residual Plot
D) Assessment

5. Refer to the exhibits:
Exhibit 1:

Exhibit 2:

An analyst has created a cluster model based on the settings in Exhibit 1 and chose to derive a cluster ID variable.
Why are there 5 cluster IDs in Exhibit 2 based on these settings?

A) Parallel Coordinates Visible Roles setting is 5.
B) Variable Standardization has been chosen.
C) There are observations with missing values.
D) Cluster Matrix Visible Roles setting is 5.

Solutions: