Modeling Using SAS Visual Statistics A00-485 exam torrent materials
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SASInstitute A00-485 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Model Evaluation and Interpretation | - Interpreting model outputs and reports - Assessing model performance |
| Data Preparation and Exploration in SAS Viya | - Exploratory data analysis and visualization - Loading and preparing data for Visual Statistics |
| Predictive Modeling Fundamentals | - Regression modeling concepts
|
| Machine Learning Methods in Visual Statistics | - Clustering techniques - Decision trees and random forests concepts |
SASInstitute Modeling Using SAS Visual Statistics Sample Questions:
1. What are variable selection methods for decision trees used to determine the most important features?
A) F-test for feature significance
B) Information gain or Gini impurity reduction
C) Principal Component Analysis (PCA)
D) Recursive feature elimination
2. Your company has a dataset that represents global sales. You are a part of a team of analysts that each have responsibility for a certain region of the world. You decide to create a data source filter to suppress every region but yours.
What effect will this have on any new explorations that your teammates create?
A) It will delete all observations that do not match your region.
B) It will suppress all observations that do not match their corresponding region.
C) It will suppress all observations that do not match your region.
D) It will have no effect on any observations in the dataset.
3. How does SAS Data Integration Studio facilitate scoring new data using exported score code?
A) By automatically tuning hyperparameters for scoring
B) By enabling the scheduling of batch scoring jobs
C) By providing a visual interface for connecting to external data sources
D) By generating score code automatically during ETL processes
4. What is the purpose of setting Parallel Coordinate properties for a cluster in SAS Visual Statistics?
A) To visualize the distribution of data within the cluster
B) To create a scatter plot of data points
C) To assign labels to the cluster's variables
D) To determine the cluster's centroid
5. How is a multinomial response variable used in SAS Visual Statistics when building a logistic regression model?
A) It is used as a predictor variable.
B) It is used to define the outcome categories.
C) It is not used in logistic regression modeling.
D) It is used as an event variable.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: D | Question # 3 Answer: B,D | Question # 4 Answer: A | Question # 5 Answer: B |
