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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Your company has a dataset that represents global sales. You are a part of a team of analysts that each have responsibility for a certain region of the world. You decide to create a data source filter to suppress every region but yours.
What effect will this have on any new explorations that your teammates create?

A) It will suppress all observations that do not match your region.
B) It will have no effect on any observations in the dataset.
C) It will suppress all observations that do not match their corresponding region.
D) It will delete all observations that do not match your region.

2. How are predictions formulated for a decision tree when a new data point is presented to the model?

A) By using a weighted sum of all decision rules in the tree
B) By averaging the values of all leaf nodes
C) By following a path through the tree to a leaf node and returning the majority class or mean value of that node
D) By calculating the Euclidean distance to all tree nodes and selecting the closest one

3. How are split points determined in a decision tree?

A) By minimizing the number of leaf nodes
B) Based on the order of appearance in the dataset
C) Randomly assigned
D) By maximizing information gain or Gini impurity reduction

4. What is the purpose of setting Parallel Coordinate properties for a cluster in SAS Visual Statistics?

A) To assign labels to the cluster's variables
B) To visualize the distribution of data within the cluster
C) To create a scatter plot of data points
D) To determine the cluster's centroid

5. You want to use a generalized linear model to predict donation amount from a set of demographics predictors. Donation amount is known to be right-skewed, with many non-donors (donation amount = 0).
Which settings in the Generalized Linear Model task are most appropriate for modeling this response?

A)

B)

C)

D)

Solutions: