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SASInstitute A00-406 Exam Syllabus Topics:

SectionObjectives
Machine Learning Pipelines in SAS Viya- Pipeline construction
  • 1. Model Studio workflows
    • 2. Node-based pipeline design
      - Model tuning and optimization
      • 1. Hyperparameter tuning
        • 2. Automated machine learning (AutoML)
          Model Evaluation and Deployment- Model assessment metrics
          • 1. Accuracy, precision, recall
            • 2. ROC and lift charts
              - Model deployment
              • 1. Scoring models in SAS Viya
                • 2. Model governance
                  Data Preparation for Machine Learning- Feature engineering
                  • 1. Encoding categorical variables
                    • 2. Variable transformation
                      - Data cleaning and preprocessing
                      • 1. Handling missing values
                        • 2. Outlier detection and treatment
                          Supervised Machine Learning Models- Model selection techniques
                          • 1. Performance comparison
                            • 2. Cross-validation
                              - Regression and classification models
                              • 1. Tree-based models
                                • 2. Linear and logistic regression

                                  SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions:

                                  Question #1

                                  Which technique is used for feature selection in a machine learning pipeline when dealing with a large number of features?

                                  • A. One-Hot Encoding
                                  • B. Principal Component Analysis (PCA)
                                  • C. Naive Bayes
                                  • D. Regularization
                                  Reveal Solution  Discussion  0

                                  Correct Answer: D  🗳️

                                  Question #2

                                  In reinforcement learning, what is the "reward signal"?

                                  • A. The final prediction made by the model
                                  • B. A numerical value that indicates the performance of an action taken by the agent
                                  • C. A regularization parameter
                                  • D. The accuracy of the model's predictions
                                  Reveal Solution  Discussion  0

                                  Correct Answer: B  🗳️

                                  Question #3

                                  Which of the following metrics is commonly used to evaluate the performance of a binary classification model in a machine learning pipeline?

                                  • A. Accuracy
                                  • B. Mean Absolute Error (MAE)
                                  • C. R-squared
                                  • D. Root Mean Squared Error (RMSE)
                                  Reveal Solution  Discussion  0

                                  Correct Answer: A  🗳️

                                  Question #4

                                  What is the primary objective of model evaluation in the context of building predictive models?

                                  • A. Discovering patterns in data
                                  • B. Assessing the model's performance and accuracy
                                  • C. Cleaning the data
                                  • D. Visualizing data
                                  Reveal Solution  Discussion  0

                                  Correct Answer: B  🗳️

                                  Question #5

                                  What does "data lineage" refer to in the context of data source management?

                                  • A. The history of data transformation processes
                                  • B. The physical location of data storage
                                  • C. The security protocols for data access
                                  • D. The structure of a relational database
                                  Reveal Solution  Discussion  0

                                  Correct Answer: A  🗳️

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