Practice Free A00-485 Exam Online Questions
Refer to the exhibit:
Which is the modeling approach that should be used when fitting the Target Gift Amount variable?
- A . Linear regression model with Interaction effects.
- B . Generalized linear model with a Poisson distribution and Identity link.
- C . Generalized linear model with a Normal distribution and Log Link.
- D . Logistic regression model.
How can you apply filters to both visualization and data source in SAS Visual Analytics?
- A . Use the filter pane to apply filters to the visualization
- B . Define filters directly in the data source properties
- C . Use the toolbar options to filter the visualization
- D . Apply filters using the interactive filter dialog in the visualization
When building a Generalized Linear Model in SAS Visual Statistics, which link function is available?
- A . Poisson
- B . Gaussian
- C . Negative Binomial
- D . Log
You have a regression model effect that represents the total amount of sales. In addition to that, you would like to create a model effect that represents the average amount of sales.
Which option should you use?
- A . Create an aggregated measure using the Avg aggregation on total amount of sales.
- B . Create a calculated item that divides total amount of sales by the total amount of items sold.
- C . Create a calculated item by duplicating the original model effect and changing its default aggregation to Average.
- D . Create an aggregated measure using the Sum aggregation of total amount of sales divided by the Sum aggregation of total amount of items sold.
How can you derive a leaf ID for use in other models or analyses based on a decision tree?
- A . By extracting the node IDs of all leaf nodes
- B . By calculating the distance between data points and leaf nodes
- C . By concatenating the decision rules leading to a leaf node
- D . By applying a clustering algorithm to leaf node values
How can score code be implemented to score new data using SAS Enterprise Miner?
- A . By pasting the code into a web browser
- B . By importing the code into SAS Data Integration Studio
- C . By creating a scoring node in a SAS Enterprise Miner process flow
- D . By manually executing the code in a command-line interface
Refer to the following exhibit:
After creating a decision tree in SAS Visual Statistics, what is the value in deriving a Leaf ID Variable?
- A . Use the leaf ID data item in filters in other types of visualizations.
- B . Use the leaf ID to rank order by posterior probabilities.
- C . Use the leaf ID to identify clusters.
- D . Use the leaf ID to identify the most important variables.
Refer to the exhibit from a linear regression model in SAS Visual Statistics:
Based on the table above and assuming a significance level of 0.05, what can be concluded about the linear regression model?
- A . The Intercept is an important predictor of the response.
- B . Age is a significant predictor of the response.
- C . For one one-unit increase in Average Sales, there is an expected increase in the response of 4475.443.
- D . For a 1371.5 unit decrease in Total Promos, there is an expected one-unit increase in the response.
What are decision tree properties that can be defined during model construction?
- A . The maximum depth of the tree
- B . The minimum number of data points in a leaf node
- C . The learning rate for gradient boosting
- D . The number of neighbors in a k-nearest neighbors model
What are variable selection methods for decision trees used to determine the most important features?
- A . Recursive feature elimination
- B . Principal Component Analysis (PCA)
- C . Information gain or Gini impurity reduction
- D . F-test for feature significance