Exam Name: SAS® Viya® Supervised Machine Learning Pipelines
Certification Provider: SASInstitute
Corresponding Certification: SAS Certified Specialist
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SAS® Viya® Supervised Machine Learning Pipelines: A00-406 Exam Premium File as PDF & Test Engine
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SASInstitute A00-406 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Machine Learning Pipelines in SAS Viya | - Pipeline construction
|
| Topic 2: Supervised Machine Learning Models | - Model selection techniques
|
| Topic 3: Model Evaluation and Deployment | - Model assessment metrics
|
| Topic 4: Data Preparation for Machine Learning | - Feature engineering
|
SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions:
What is the primary goal of hyperparameter tuning during model building?
- A. To increase model complexity
- B. To optimize the settings that control the model's learning process
- C. To improve data preprocessing techniques
- D. To add more features to the model
Correct Answer: B 🗳️
What does the term "bagging" refer to in ensemble learning?
- A. A type of feature extraction
- B. A technique that reduces model complexity
- C. A form of dimensionality reduction
- D. The process of combining multiple identical models to reduce variance
Correct Answer: D 🗳️
What is the main advantage of using a RESTful API (Representational State Transfer) as a data source?
- A. High security features
- B. Real-time data processing
- C. Simple and standardized communication
- D. Support for complex data structures
Correct Answer: C 🗳️
In model evaluation, what is the purpose of a ROC curve (Receiver Operating Characteristic)?
- A. To measure feature importance
- B. To compare models' performance in terms of sensitivity and specificity
- C. To evaluate the mean squared error of a model
- D. To visualize data distribution
Correct Answer: B 🗳️
What is "model versioning" in the context of model deployment?
- A. The practice of keeping track of different versions of a model to maintain reproducibility
- B. The process of training a model from scratch
- C. The process of evaluating model performance
- D. The process of creating synthetic data
Correct Answer: A 🗳️
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