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SASInstitute A00-485 Exam Overview:
| Certification Vendor: | SAS Institute |
|---|---|
| Exam Name: | Modeling Using SAS Visual Statistics |
| Exam Number: | A00-485 |
| Exam Format: | Short answer, Multiple choice |
| Exam Price: | $120 USD |
| Available Languages: | English |
| Real Exam Qty: | 55-60 |
| Certificate Validity Period: | 5 years |
| Passing Score: | 68% |
| Exam Duration: | 110 minutes |
| Recommended Training: | SAS Visual Statistics in SAS Viya: Interactive Model Building Official Exam Content Guide |
| Exam Registration: | SAS Certification Portal Pearson VUE Registration |
| Sample Questions: | SASInstitute A00-485 Sample Questions |
| Exam Way: | Online proctored or in-person at Pearson VUE authorized test centers |
| Pre Condition: | No formal prerequisites; basic knowledge of statistics and SAS Viya interface recommended |
| Official Syllabus URL: | https://www.sas.com/en_my/certification/credentials/bi-analytics/modeling-using-visual-statistics.html |
SASInstitute A00-485 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Building and Assessing Segmentation Models | 28% | - Analyze and interpret cluster results - Perform unsupervised segmentation using cluster analysis - Perform supervised segmentation using decision trees - Assess and interpret decision tree performance |
| Topic 2: Model Comparison and Scoring | 9% | - Compare multiple models using fit statistics - Apply models to score new data |
| Topic 3: SAS Visual Statistics Cross-functional Tasks | 22% | - Use interactive group-by functionality - Perform model validation - Filter data used for a model - Prepare data using SAS Visual Analytics |
| Topic 4: Building and Assessing Regression-type Models | 41% | - Perform generalized linear regression modeling - Perform linear regression modeling - Explain concepts of linear models - Perform nonparametric logistic regression modeling - Perform generalized additive modeling - Assess model fit and diagnostics |
SASInstitute Modeling Using SAS Visual Statistics Sample Questions:
Question 1
You perform a logistic regression on a multinomial response variable in SAS Visual Statistics that has 3 levels: Small, Medium, Large. "Large" is specified as the event.
Which statement is true?
A. The other levels are offset to account for exposure.
B. A multinomial logistic regression is performed.
C. The other levels are grouped into one non-event.
D. An ordinal logistic regression is performed.
Question 2
In the context of linear regression, what does the term "linearity" refer to?
A. The absence of any relationship between variables
B. The requirement for variables to be categorical
C. The use of polynomial functions for modeling
D. The use of a straight line to model relationships
Question 3
Which modeling technique automatically includes missing values?
A. Logistic regression
B. Decision tree
C. Linear regression
D. Generalized linear model
Question 4
What is the purpose of applying a prediction cut-off in model assessment?
A. To calculate the p-values of predictor variables
B. To identify influential data points in the dataset
C. To determine the optimal threshold for classifying outcomes
D. To divide the dataset into training and testing sets
Question 5
When interpreting a Misclassification plot in model comparison, what does it typically show?
A. The trade-off between false positives and false negatives at different thresholds
B. The distribution of the response variable
C. The performance of models in terms of AUC
D. The relationship between two predictor variables
Solutions:
| Question 1 Answer: C | Question 2 Answer: D | Question 3 Answer: B | Question 4 Answer: C | Question 5 Answer: A |
By Thera
