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SASInstitute A00-485 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Machine Learning Methods in Visual Statistics | - Decision trees and random forests concepts - Clustering techniques |
| Topic 2: Data Preparation and Exploration in SAS Viya | - Loading and preparing data for Visual Statistics - Exploratory data analysis and visualization |
| Topic 3: Predictive Modeling Fundamentals | - Model selection and comparison techniques - Regression modeling concepts
|
| Topic 4: Model Evaluation and Interpretation | - Assessing model performance - Interpreting model outputs and reports |
SASInstitute Modeling Using SAS Visual Statistics Sample Questions:
1. A champion model has been selected and you want to export the score code.
Score code is exported as:
A) C
B) SAS DS2
C) PMML
D) SAS Data Step
2. What is the primary purpose of concordance statistics in model comparison?
A) To assess the multicollinearity among predictors
B) To evaluate the relationship between two predictor variables
C) To calculate the p-values of predictor variables
D) To measure the balance between sensitivity and specificity
3. In cluster analysis, what does the term "centroid" refer to?
A) The total number of data points in a cluster
B) The minimum distance between two clusters
C) The number of variables used in the analysis
D) The center point of a cluster in the feature space
4. What does a ROC chart help assess in model comparison?
A) The correlation between predictor variables
B) The stability of model predictions
C) The distribution of residuals in the models
D) The trade-off between true positives and false positives at different thresholds
5. Given an Influence Plot generated in a Linear Regression within SAS Visual Statistics, which diagnostic can be used to quantify leverage?
A) Adjusted R-Squared
B) Concordance
C) Likelihood Displacement
D) AIC
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: C |
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