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SASInstitute A00-485 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Model Evaluation and Interpretation | - Interpreting model outputs and reports - Assessing model performance |
| Machine Learning Methods in Visual Statistics | - Decision trees and random forests concepts - Clustering techniques |
| Data Preparation and Exploration in SAS Viya | - Loading and preparing data for Visual Statistics - Exploratory data analysis and visualization |
| Predictive Modeling Fundamentals | - Model selection and comparison techniques - Regression modeling concepts
|
SASInstitute Modeling Using SAS Visual Statistics Sample Questions:
1. Refer to the Parallel Coordinates Plot shown on the Exhibit.
Which two statements about cluster 0 in the Parallel Coordinates Plot are correct? (Choose two.)
A) In relation to the other clusters, it consists of people from the lower income group.
B) In relation to the other clusters, it consists of people whose house values are lower.
C) It contains the most observations.
D) In relation to the other clusters, it consists of people who are younger.
2. 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 be 2.75 times greater than the sample fitted in the model.
B) 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%.
C) The response rate for the best 20% is predicted to increase 5 times under the fitted model.
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.
3. When exporting score code, what information is typically included in the code?
A) The distribution of the response variable
B) Instructions for preprocessing new data
C) The entire training dataset
D) The model parameters and coefficients
4. What is one advantage of using SAS Studio to score new data with exported score code?
A) It requires no additional software installation.
B) It provides advanced visualization capabilities.
C) It automatically optimizes the scoring process.
D) It allows for direct integration with Hadoop clusters.
5. What does adding an interaction effect in linear regression modeling allow you to capture?
A) The multicollinearity among predictors
B) The presence of outliers in the data
C) The joint impact of two or more predictors on the response variable
D) The effect of missing data on the model
Solutions:
| Question # 1 Answer: A,B | Question # 2 Answer: D | Question # 3 Answer: B,D | Question # 4 Answer: A | Question # 5 Answer: C |
