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SASInstitute A00-485 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Predictive Modeling Fundamentals | - Regression modeling concepts
|
| Topic 2: Model Evaluation and Interpretation | - Interpreting model outputs and reports - Assessing model performance |
| Topic 3: Data Preparation and Exploration in SAS Viya | - Loading and preparing data for Visual Statistics - Exploratory data analysis and visualization |
| Topic 4: Machine Learning Methods in Visual Statistics | - Decision trees and random forests concepts - Clustering techniques |
SASInstitute Modeling Using SAS Visual Statistics Sample Questions:
1. You want to fit a Poisson regression and use the log link function to predict skin cancer from weather, pollution, and demographic variables. Each row in the data is a geographic region.
The response, Melanoma, is stored as the number of melanoma skin cancer cases in each region.
Because some regions have many people and some have few, your data also includes a variable with the region population.
What is the best way to include population in this model?
A) Add the log of Population as an effect.
B) Add Population as an effect.
C) Add Population as an offset.
D) Add the log of Population as an offset.
2. Refer to the exhibit:
How many predictor variables would be included in the score code produced by this model?
A) 5
B) 8
C) 7
D) 13
3. What are the roles that can be assigned in a generalized linear model (GLM)?
A) Target
B) Predictor
C) Offset
D) Intercept
4. When would you typically use a linear regression model instead of a generalized linear model (GLM)?
A) When the goal is to model categorical outcomes
B) When the dependent variable is binary
C) When there is no assumption of linearity in the data
D) When dealing with count data
5. You want to filter out certain observations to analyze their effect on the model.
Which windows will achieve this? (Choose two.)
A) Influence Plot
B) Assessment
C) Residual Plot
D) Fit Summary
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A | Question # 3 Answer: A,B,C | Question # 4 Answer: C | Question # 5 Answer: A,C |
