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SASInstitute A00-406 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Machine Learning Pipelines in SAS Viya | - Pipeline construction
|
| Model Evaluation and Deployment | - Model assessment metrics
|
| Data Preparation for Machine Learning | - Data cleaning and preprocessing
|
| Supervised Machine Learning Models | - Model selection techniques
|
SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions:
1. What is the primary purpose of model assessment in the context of data science and machine learning?
A) Model building
B) Data visualization
C) Evaluating and selecting the best-performing model
D) Data preprocessing
2. What is the purpose of data profiling in data source management?
A) To optimize data storage
B) To create data visualizations
C) To execute data queries
D) To assess the quality and characteristics of data
3. What is the primary objective of model evaluation in the context of building predictive models?
A) Cleaning the data
B) Visualizing data
C) Discovering patterns in data
D) Assessing the model's performance and accuracy
4. Which algorithm is commonly used for decision-making tasks in classification models?
A) Principal Component Analysis (PCA)
B) K-Means
C) Decision Trees
D) Linear Regression
5. In the context of model deployment, what is "model compliance"?
A) The model's simplicity
B) The model's efficiency
C) The process of feature selection
D) The degree to which the model adheres to regulatory or ethical guidelines
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: D |
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