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SASInstitute A00-406 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Model Assessment and Deployment | 24-30% | - Assessing model performance (metrics, ROC curves, confusion matrices) - Deploying models into production |
| Topic 2: Data Sources | 30-36% | - Dimensionality reduction and feature engineering - Exploring and modifying data - Importing and preparing data |
| Topic 3: Building Models | 40-46% | - Model comparison and selection - Supervised model creation (decision trees, ensembles, SVM, neural networks) |
SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions:
1. What is the difference between a classification problem and a regression problem in machine learning?
A) There is no difference; the terms are used interchangeably.
B) Classification predicts categorical outcomes, while regression predicts numeric outcomes.
C) Classification is a type of regression problem.
D) Regression predicts categorical outcomes, while classification predicts numeric outcomes.
2. What is the primary purpose of model documentation in the model deployment phase?
A) To provide information on the model's development, architecture, and usage
B) To evaluate the model's accuracy
C) To create synthetic data
D) To assess data quality
3. In the context of model building, what is the purpose of hyperparameter tuning?
A) Optimizing the model's hyperparameters for better performance
B) Training the model
C) Selecting the most important features
D) Visualizing data
4. In model assessment, what is the purpose of feature importance analysis?
A) To create synthetic features
B) To evaluate the significance of input features in making predictions
C) To visualize data distribution
D) To assess data quality
5. Refer to the treemap shown in the exhibit below:
Which statement is true about the tree map for a decision tree with a binary target?
A) The wider bars represent nodes with a higher probability of event.
B) The darker bars represent nodes with a lower probability of event.
C) The top bar represents the node with the highest probability of event.
D) The top bar represents the node with the highest count.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: D |
