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SASInstitute A00-406 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Machine Learning Pipelines in SAS Viya | - Model tuning and optimization
|
| Topic 2: Data Preparation for Machine Learning | - Data cleaning and preprocessing
|
| Topic 3: Model Evaluation and Deployment | - Model assessment metrics
|
| Topic 4: Supervised Machine Learning Models | - Regression and classification models
|
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
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
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
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
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
Correct Answer: A 🗳️
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