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SASInstitute A00-406 Exam Syllabus Topics:

SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions:

1. What is overfitting in machine learning, and how can it be addressed in a pipeline?

A) Overfitting occurs when the model is too simple and underperforms.
B) Overfitting occurs when the model fits the training data too closely and may not generalize well. It can be addressed by regularization techniques.
C) Overfitting occurs when the model is too complex and overperforms.
D) Overfitting is not a concern in machine learning pipelines.

2. In reinforcement learning, what is the agent's objective?

A) To learn from labeled data
B) To generate synthetic data
C) To make predictions
D) To maximize a cumulative reward over time

3. What is the primary function of a data catalog in managing data sources?

A) Data analysis
B) Data visualization
C) Data storage
D) Data documentation and discovery

4. What does the term "bagging" refer to in ensemble learning?

A) A type of feature extraction
B) A form of dimensionality reduction
C) The process of combining multiple identical models to reduce variance
D) A technique that reduces model complexity

5. In model assessment, what does "cross-validation" aim to address?

A) Training a model
B) Overfitting and generalization
C) Data preprocessing
D) Model deployment

Solutions: