Free A00-225 Exam Questions - Easiest Way for Success

You are developing a predictive model using SAS and have completed the model training phase. You are now preparing to deploy the model for scoring a new dataset. Which mode should you operate in to score the new dataset and why?

When building an ARCH model, an analyst notices that large errors are followed by large errors and small errors by small errors, but the sign of the errors does not matter. This phenomenon is indicative of what type of volatility clustering?

When preparing data for a predictive modeling project, a data scientist notices that the categorical variable 'payment_type' with four categories ('credit card', 'debit card', 'paypal', 'other') exhibits a high degree of variability in the outcome variable (purchase amount). To improve the model's predictive accuracy, what strategy can the data scientist use to handle the 'payment_type' variable?

You are performing predictive modeling using a random forest technique in R through SAS Enterprise Miner. You want to examine variable importance to interpret the model. Which of the following commands within the R code can provide you with the variable importance measure typically associated with a random forest model?

A predictive modeler is preparing to set up automated scoring scripts that will run in a production environment. The modeler needs to access a database that contains the data to be scored and has been instructed to use the ODBC interface. Which of the following SAS statements correctly establishes a connection for data access using the LIBNAME statement?