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

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

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

2. When deploying a machine learning model, what is "model drift"?

A) The process of feature extraction
B) A sudden increase in the model's accuracy
C) A measure of feature importance
D) A change in the distribution of the input data or target variable over time

3. In the context of model assessment, what does "bias" refer to?

A) The process of feature engineering
B) A systematic error that causes a model to consistently overpredict
C) A measure of the model's precision
D) The simplicity of the model

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

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

5. What is the purpose of cross-validation in model building and evaluation?

A) Splitting the dataset into training and testing sets
B) Generating synthetic data
C) Reducing the dataset size
D) Assessing the model's generalization performance

Solutions: