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SASInstitute A00-485 Exam Overview:
| Certification Vendor: | SAS Institute |
| Exam Name: | Modeling Using SAS Visual Statistics |
| Exam Number: | A00-485 |
| Real Exam Qty: | 60 |
| Available Languages: | English |
| Related Certifications: | SAS Certified Specialist in Visual Analytics SAS Certified Associate in Applied Statistics |
| Passing Score: | 68 |
| Exam Duration: | 110 minutes |
| Exam Format: | Multiple Choice, Short Answer, Interactive |
| Exam Price: | USD 180 |
| Sample Questions: | SASInstitute A00-485 Sample Questions |
| Exam Way: | Proctored exam at a SAS testing center or through OnVUE online proctoring. |
| Official Syllabus URL: | https://www.sas.com/en_us/certification.html |
SASInstitute A00-485 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Building Predictive Models | 40% | - Gradient boosting - Regression models - Decision trees - Neural networks |
| Topic 2: Model Assessment and Selection | 20% | - Model comparison - Model fit statistics - ROC and Lift curves |
| Topic 3: Scoring and Deployment | 20% | - Model scoring - Model deployment |
| Topic 4: Data Preparation and Exploration | 20% | - Data quality - Data exploration using SAS Visual Statistics - Importing data |
SASInstitute Modeling Using SAS Visual Statistics Sample Questions:
1. In SAS Visual Analytics, what can you use to exclude selections and filter data in a visualization?
A) Filter containers
B) Filtering using the toolbar options
C) Exclude option in filter dialogs
D) Interactive filters in the visualization
2. Explain what an icicle plot represents in decision tree analysis.
A) It shows the feature importance for each variable in the tree.
B) It displays the hierarchical structure of the decision tree.
C) It visualizes the distribution of data points in each leaf node.
D) It summarizes the performance metrics of the decision tree.
3. Which statement is true about Decision Trees in SAS Visual Statistics
A) Decision trees can be used for classification and estimation.
B) Decision trees cannot handle continuous dependent variables.
C) Decision trees cannot handle missing values.
D) Decision trees can be used for outlier detection.
4. What is variable selection in SAS Visual Statistics used for in logistic regression modeling?
A) To specify the distribution of the response variable
B) To exclude all predictor variables
C) To assign roles to variables
D) To identify and choose relevant predictor variables
5. You want to build a model that predicts whether a customer will default on a loan assuming an underlying binomial distribution.
Which model within SAS Visual Statistics would you use?
A) generalized linear model using the binomial distribution and the log link function
B) logistic regression model using the Tobit link function
C) logistic regression model using the Logit link function
D) logistic regression model using the Probit link function
Solutions:
| Question # 1 Answer: C,D | Question # 2 Answer: A,B | Question # 3 Answer: A | Question # 4 Answer: D | Question # 5 Answer: C |
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