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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:
1. In the below linear regression results display, where would you click to access the parameter estimates?
2. 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
3. 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
4. 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
5. 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
Solutions:
| Question # 1 Answer: Only visible for members | Question # 2 Answer: D | Question # 3 Answer: B,D | Question # 4 Answer: A | Question # 5 Answer: C |
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