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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Which statement is true regarding the Cluster Analysis in SAS Visual Statistics?

A) SAS Visual Statistics creates a measure variable containing the cluster ID when you derive a Cluster ID variable.
B) Clusters may overlap in the Cluster Matrix plot.
C) You can derive a Cluster ID variable by right clicking on the Parallel Coordinates plot.
D) An observation can belong to more than one cluster.

2. When examining the summary table for group-by processing, what information can you find?

A) The number of observations in each group
B) The standard deviation of the target variable for each group
C) The distribution of the group-by variable
D) The mean value of the target variable for each group

3. You would like to compare multiple models that you've built in SAS Visual Statistics.
Which parameters must be the same for all models being compared? (choose 3)

A) Data Source
B) Link Function
C) Event Level
D) Response Variable
E) Model Type
F) Assessment Bins

4. How does SAS Data Integration Studio facilitate scoring new data using exported score code?

A) By providing a visual interface for connecting to external data sources
B) By automatically tuning hyperparameters for scoring
C) By enabling the scheduling of batch scoring jobs
D) By generating score code automatically during ETL processes

5. In generalized linear models, what is the purpose of the link function?

A) To calculate the p-values of predictor variables
B) To determine the distribution of the response variable
C) To adjust the model for multicollinearity
D) To specify the relationship between the predictor and response variables

Solutions: