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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

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

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

2. What is one advantage of using SAS Studio to score new data with exported score code?

A) It requires no additional software installation.
B) It provides advanced visualization capabilities.
C) It automatically optimizes the scoring process.
D) It allows for direct integration with Hadoop clusters.

3. How is the KS Statistic typically used when interpreting an ROC chart?

A) To identify the optimal prediction cut-off threshold
B) To measure the area under the ROC curve
C) To evaluate the overall performance of a classification model
D) To assess the balance between sensitivity and specificity

4. You would like to build a cluster analysis using several variables related to demographics. You noticed that the variable Inferred HH Education is a nominal variable with values of "High School Grad",
"College Grad", etc.
Which action allows you to incorporate this variable in the cluster analysis without returning a warning?

A)

B)

C)

D)

5. In decision tree modeling, what is the purpose of setting a minimum split count?

A) To determine the maximum depth of the tree
B) To prevent any splits in the tree
C) To specify the minimum number of data points required to perform a split
D) To control the learning rate of the model

Solutions: