SASInstitute A00-485 : Modeling Using SAS Visual Statistics

A00-485 real exams

Exam Code: A00-485

Exam Name: Modeling Using SAS Visual Statistics

Updated: Jul 29, 2026

Q & A: 190 Questions and Answers

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SASInstitute A00-485 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Scoring and Deployment20%- Model deployment
- Model scoring
Topic 2: Data Preparation and Exploration20%- Data quality
- Data exploration using SAS Visual Statistics
- Importing data
Topic 3: Model Assessment and Selection20%- Model fit statistics
- Model comparison
- ROC and Lift curves
Topic 4: Building Predictive Models40%- Decision trees
- Gradient boosting
- Neural networks
- Regression models

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. What are decision tree properties that can be defined during model construction?

A) The maximum depth of the tree
B) The number of neighbors in a k-nearest neighbors model
C) The minimum number of data points in a leaf node
D) The learning rate for gradient boosting


2. What is the purpose of setting Parallel Coordinate properties for a cluster in SAS Visual Statistics?

A) To assign labels to the cluster's variables
B) To determine the cluster's centroid
C) To create a scatter plot of data points
D) To visualize the distribution of data within the cluster


3. What is the purpose of deriving a cluster ID variable in cluster analysis?

A) To calculate the distance between clusters
B) To set parallel coordinate properties
C) To assign cluster labels to data points
D) To create a scatter plot of data points


4. When reviewing Measure Details in SAS Visual Analytics, what information can you find related to measures?

A) Measure data type
B) Measure format and informat
C) Measure name and label
D) Measure calculation method


5. What can you interpret from the Assessment panel in a decision tree analysis?

A) The decision boundaries between leaf nodes
B) The feature importance for each variable in the tree
C) The tree's training and validation performance metrics
D) The tree's structural properties, such as depth and number of nodes


Solutions:

Question # 1
Answer: A,C
Question # 2
Answer: D
Question # 3
Answer: C
Question # 4
Answer: A,B,C
Question # 5
Answer: C

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