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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. What do cluster properties refer to in the context of cluster analysis?

A) Characteristics shared by data points within a cluster
B) A measure of data point centrality
C) The number of clusters in the analysis
D) Descriptive statistics of individual data points

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

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

3. 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 creating a scoring node in a SAS Enterprise Miner process flow
C) By pasting the code into a web browser
D) By manually executing the code in a command-line interface

4. Which modeling technique automatically includes missing values?

A) Generalized linear model
B) Decision tree
C) Linear regression
D) Logistic regression

5. Refer to the exhibits:


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 6 cluster IDs in Exhibit 2 based on these settings?

A) Cluster Diagram Visible Roles setting is 6.
B) There are observations with missing values.
C) Variable Standardization has been chosen.
D) Parallel Coordinates Visible Roles setting is 6.

Solutions: