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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

Question 1

What is the purpose of implementing score code generated by SAS Visual Statistics?

A. To apply the trained model to new data for predictions
B. To calculate the p-values of predictor variables
C. To evaluate the performance of the scoring code
D. To assess the distribution of residuals in the model

Question 2

When building a cluster analysis in SAS Visual Statistics, which of the following algorithms is commonly used for partitioning data into clusters?

A. Decision Tree
B. Principal Component Analysis (PCA)
C. K-means
D. Linear Regression

Question 3

What does the interactive group-by feature in SAS Visual Analytics allow you to do?

A. Dynamically change the group-by variable during analysis
B. Create subgroups within the group-by variable
C. Interactively explore different levels of the group-by variable
D. Apply group-by modeling to multiple measures simultaneously

Question 4

When performing a logistic regression in SAS Visual Statistics, the default prediction cutoff is .50. If you increase the cutoff to .80 then derive predicted values, which statement is the expected outcome?

A. The predicted events remain unchanged and the predicted probabilities increase.
B. The predicted events decrease and the predicted probabilities remain unchanged.
C. The predicted events increase and the predicted probabilities remain unchanged.
D. The predicted events remain unchanged and the predicted probabilities decrease.

Question 5

Which SAS tool is most suitable for managing explorations and visualizations in a business intelligence context?

A. SAS Enterprise Guide
B. SAS Enterprise Miner
C. SAS Studio
D. SAS Visual Data Builder

Solutions: