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SASInstitute A00-485 Exam Syllabus Topics:

SectionObjectives
Predictive Modeling Fundamentals- Regression modeling concepts
  • 1. Logistic regression
    • 2. Linear regression
      - Model selection and comparison techniques
      Model Evaluation and Interpretation- Assessing model performance
      - Interpreting model outputs and reports
      Machine Learning Methods in Visual Statistics- Decision trees and random forests concepts
      - Clustering techniques
      Data Preparation and Exploration in SAS Viya- Loading and preparing data for Visual Statistics
      - Exploratory data analysis and visualization

      SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

      1. Which of the following criteria are commonly used for pruning a decision tree?

      A) Maximum depth
      B) Maximum leaf nodes
      C) Minimum split count
      D) Maximum tree height


      2. You want to filter out certain observations to analyze their effect on the model.

      Which windows will achieve this? (Choose two.)

      A) Assessment
      B) Residual Plot
      C) Fit Summary
      D) Influence Plot


      3. How can you assign a group-by variable to a predictive model in SAS Visual Analytics?

      A) Drag and drop the group-by variable into the predictor field of the model
      B) Specify the group-by variable in the data source properties
      C) Click on the group-by variable and choose "Assign as predictor" from the context menu
      D) Select the group-by variable from a dropdown menu in the model settings


      4. Refer to the exhibit:

      An economist is predicting demand using a linear regression model.
      If all of the effect variables equal 1, what is the predicted demand?

      A) 352.405432
      B) 352.454433
      C) 352.415433
      D) 362.415133


      5. How does SAS Data Integration Studio facilitate scoring new data using exported score code?

      A) By automatically tuning hyperparameters for scoring
      B) By generating score code automatically during ETL processes
      C) By enabling the scheduling of batch scoring jobs
      D) By providing a visual interface for connecting to external data sources


      Solutions:

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

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