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SASInstitute A00-485 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Machine Learning Methods in Visual Statistics | - Decision trees and random forests concepts - Clustering techniques |
| Predictive Modeling Fundamentals | - Regression modeling concepts
|
| Data Preparation and Exploration in SAS Viya | - Exploratory data analysis and visualization - Loading and preparing data for Visual Statistics |
| Model Evaluation and Interpretation | - Assessing model performance - Interpreting model outputs and reports |
SASInstitute Modeling Using SAS Visual Statistics Sample Questions:
In the below linear regression results display, where would you click to access the parameter estimates?
Correct Answer:
Refer to the exhibit:
Using the lift chart above to evaluate a decision tree model where the event level is Purchase, what is the expected performance of the model for the best 20% of cases predicted?
- A. About 1.25 times better than a random sample of the same size
- B. About 1.1 times better than a random sample of the same size
- C. About 4 times better than a random sample of the same size
- D. About 1.5 times better than a random sample of the same size
Correct Answer: D 🗳️
What properties can be defined in a logistic regression model?
- A. The number of iterations
- B. The distribution of the response variable
- C. The learning rate
- D. Coefficients and p-values
Correct Answer: B,D 🗳️
When examining the Cluster Summary tab, what information is typically available?
- A. Statistics for each cluster, such as mean and standard deviation
- B. The number of variables in the analysis
- C. The number of iterations performed during clustering
- D. The decision tree structure for each cluster
Correct Answer: A 🗳️
In model assessment, why might you need to assess residuals and other model diagnostics to choose an appropriate distribution and link function?
- A. To determine the order of predictor variables in the model
- B. To ensure that predictor variables are not highly correlated
- C. To verify if the chosen model assumptions are met and make adjustments if necessary
- D. To calculate the p-values of predictor variables
Correct Answer: C 🗳️
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