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SASInstitute A00-406 Exam Syllabus Topics:

SectionObjectives
Topic 1: Machine Learning Pipelines in SAS Viya- Model tuning and optimization
  • 1. Automated machine learning (AutoML)
    • 2. Hyperparameter tuning
      - Pipeline construction
      • 1. Model Studio workflows
        • 2. Node-based pipeline design
          Topic 2: Data Preparation for Machine Learning- Data cleaning and preprocessing
          • 1. Outlier detection and treatment
            • 2. Handling missing values
              - Feature engineering
              • 1. Encoding categorical variables
                • 2. Variable transformation
                  Topic 3: Model Evaluation and Deployment- Model assessment metrics
                  • 1. Accuracy, precision, recall
                    • 2. ROC and lift charts
                      - Model deployment
                      • 1. Model governance
                        • 2. Scoring models in SAS Viya
                          Topic 4: Supervised Machine Learning Models- Regression and classification models
                          • 1. Linear and logistic regression
                            • 2. Tree-based models
                              - Model selection techniques
                              • 1. Cross-validation
                                • 2. Performance comparison

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

                                  What is the primary role of a data warehouse in an organization?

                                  • A. Real-time data analysis
                                  • B. Long-term data storage and analysis
                                  • C. Data transformation and cleaning
                                  • D. Data exploration and visualization
                                  Reveal Solution  Discussion  0

                                  Correct Answer: B  🗳️

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

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

                                  Correct Answer: B  🗳️

                                  What is a data lake architecture designed to store primarily?

                                  • A. Highly structured data in tabular format
                                  • B. Data from a single source or department
                                  • C. Only unstructured data in raw form
                                  • D. All types of data, including structured and unstructured data
                                  Reveal Solution  Discussion  0

                                  Correct Answer: D  🗳️

                                  In model assessment, what does "cross-validation" aim to address?

                                  • A. Model deployment
                                  • B. Training a model
                                  • C. Overfitting and generalization
                                  • D. Data preprocessing
                                  Reveal Solution  Discussion  0

                                  Correct Answer: C  🗳️

                                  Which evaluation metric is commonly used for assessing the performance of a regression model?

                                  • A. Mean Absolute Error (MAE)
                                  • B. Precision
                                  • C. Confusion Matrix
                                  • D. F1 Score
                                  Reveal Solution  Discussion  0

                                  Correct Answer: A  🗳️

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