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SASInstitute A00-485 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Building and Assessing Segmentation Models | 28% | - Perform supervised segmentation using decision trees - Analyze and interpret cluster results - Perform unsupervised segmentation using cluster analysis - Assess and interpret decision tree performance |
| Topic 2: Model Comparison and Scoring | 9% | - Compare multiple models using fit statistics - Apply models to score new data |
| Topic 3: Building and Assessing Regression-type Models | 41% | - Explain concepts of linear models - Perform nonparametric logistic regression modeling - Assess model fit and diagnostics - Perform generalized linear regression modeling - Perform linear regression modeling - Perform generalized additive modeling |
| Topic 4: SAS Visual Statistics Cross-functional Tasks | 22% | - Filter data used for a model - Perform model validation - Prepare data using SAS Visual Analytics - Use interactive group-by functionality |
SASInstitute Modeling Using SAS Visual Statistics Sample Questions:
1. 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 increase and the predicted probabilities remain unchanged.
C) The predicted events decrease and the predicted probabilities remain unchanged.
D) The predicted events remain unchanged and the predicted probabilities decrease.
2. What is unsupervised classification in the context of cluster analysis?
A) Using a decision tree for data classification
B) Grouping similar data points together without predefined labels
C) Assigning predefined labels to data points
D) Creating a scatter plot of data points
3. Which SAS tool is suitable for creating complex data manipulation and transformation workflows in a visual interface?
A) SAS Enterprise Guide
B) SAS Visual Data Builder
C) SAS Studio
D) SAS Visual Analytics
4. How can you assign a group-by variable to a predictive model in SAS Visual Analytics?
A) Drag and drop the group-by variable into the predictor field of the model
B) Select the group-by variable from a dropdown menu in the model settings
C) Click on the group-by variable and choose "Assign as predictor" from the context menu
D) Specify the group-by variable in the data source properties
5. Which equation does NOT represent a linear model? Note: bi are parameters and Xi are variables.
A) y = b0 + b1X1 + b2X2 + b3(X1X2)
B) y = b0 + b1X1 + b2X2
C) y = b0 + b1X1 + b2X1 3
D) y = b0 + b1X1 + (b2/b1)X2
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: A,B | Question # 5 Answer: D |
