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SASInstitute A00-406 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Model Assessment and Deployment | 24-30% | - Deploy models into production - Evaluate and compare model performance - Apply model assessment principles - Select champion models |
| Data Sources | 30-36% | - Create a project in Model Studio - Modify and prepare data - Explore and understand data - Reduce dimensionality - Perform variable selection |
| Building Models | 40-46% | - Build decision trees and ensemble models - Understand supervised machine learning concepts - Use model interpretability tools - Build regression models - Build neural networks and SVM models - Integrate custom code |
SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions:
1. In reinforcement learning, what is the "reward signal"?
A) A numerical value that indicates the performance of an action taken by the agent
B) The accuracy of the model's predictions
C) The final prediction made by the model
D) A regularization parameter
2. When deploying a machine learning model, what is meant by "model latency"?
A) The time it takes for the model to make predictions once deployed
B) The time it takes to create synthetic data
C) The time it takes to train a model
D) The time it takes to build a model
3. What is the purpose of data profiling in data source management?
A) To assess the quality and characteristics of data
B) To execute data queries
C) To optimize data storage
D) To create data visualizations
4. Which type of model is well-suited for solving classification problems when dealing with high- dimensional data, such as text?
A) Linear Regression
B) Random Forest
C) Support Vector Machine (SVM)
D) K-Means Clustering
5. What is "model retraining" in the context of model deployment?
A) The process of feature selection
B) The process of data preprocessing
C) The process of building the initial model
D) Periodically updating and improving a deployed model with new data
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: D |
