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

1. When assessing a classification model, what is the confusion matrix used to measure?

A) Model accuracy
B) Precision and recall
C) Data distribution
D) Model complexity

2. Which of the following is an example of a NoSQL database that is commonly used to store unstructured data?

A) MongoDB
B) MySQL
C) Oracle Database
D) Microsoft SQL Server

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

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

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

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

5. In a machine learning pipeline, what is the purpose of cross-validation?

A) To evaluate the model's performance on new data
B) To train multiple models on different subsets of the data to assess generalization
C) To split the dataset into training and testing sets
D) To visualize the data distribution

Solutions: