Exam Name: Modeling Using SAS Visual Statistics
Certification Provider: SASInstitute
Corresponding Certification: SASInstitute Certification
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SASInstitute A00-485 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Model Comparison and Scoring | 9% | - Compare multiple models using fit statistics - Apply models to score new data |
| Topic 2: Building and Assessing Segmentation Models | 28% | - Perform unsupervised segmentation using cluster analysis - Perform supervised segmentation using decision trees - Analyze and interpret cluster results - Assess and interpret decision tree performance |
| Topic 3: Building and Assessing Regression-type Models | 41% | - Explain concepts of linear models - Perform nonparametric logistic regression modeling - Perform generalized linear regression modeling - Perform generalized additive modeling - Assess model fit and diagnostics - Perform linear regression modeling |
| Topic 4: SAS Visual Statistics Cross-functional Tasks | 22% | - Prepare data using SAS Visual Analytics - Use interactive group-by functionality - Perform model validation - Filter data used for a model |
SASInstitute Modeling Using SAS Visual Statistics Sample Questions:
When evaluating a Misclassification plot, what does it typically show?
- A. The trade-off between false positives and false negatives at different thresholds
- B. The p-values associated with the predictor variables
- C. The relationship between two predictor variables
- D. The distribution of predictor variables in the dataset
Correct Answer: A 🗳️
Refer to the exhibit from SAS Visual Statistics:
What can be concluded from the lift plot shown in the exhibit?
- A. The response rate for the best 20% is predicted to increase 5 times under the fitted model.
- B. The response rate for the best 20% is predicted to be 2.75 times greater than the sample fitted in the model.
- C. The 20% of cases with the lowest predicted probability of the modeled event level is predicted to capture 2.75 times as many events as a random sample of 20%.
- D. The 20% of cases with the highest predicted probability of the modeled event level is expected to capture 2.75 times as many events as a random sample of the same size.
Correct Answer: D 🗳️
When combining multiple categories into fewer levels in SAS Visual Analytics, what technique is often used?
- A. Binning or grouping
- B. Variable transformation
- C. Data imputation
- D. Principal Component Analysis (PCA)
Correct Answer: A 🗳️
How can you appropriately change the number of clusters in a k-means cluster analysis?
- A. By adjusting the learning rate
- B. By modifying the random seed
- C. By increasing the number of iterations
- D. By changing the K-value
Correct Answer: D 🗳️
How is the KS Statistic typically used when interpreting an ROC chart?
- A. To measure the area under the ROC curve
- B. To identify the optimal prediction cut-off threshold
- C. To evaluate the overall performance of a classification model
- D. To assess the balance between sensitivity and specificity
Correct Answer: D 🗳️
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