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

1. What is "model retraining" in the context of model deployment?

A) The process of building the initial model
B) Periodically updating and improving a deployed model with new data
C) The process of feature selection
D) The process of data preprocessing

2. What is a data lake?

A) A specialized database for time-series data
B) A centralized repository for storing all structured and unstructured data at any scale
C) A data storage solution designed for high-speed data retrieval
D) A backup system for relational databases

3. What is the primary purpose of "continuous integration and continuous deployment" (CI/CD) in the context of model deployment?

A) To automate the testing, integration, and deployment of new model versions
B) To visualize data distribution
C) To evaluate the model's accuracy
D) To create synthetic data

4. What is the purpose of hyperparameter tuning in a machine learning pipeline?

A) To select the most important features
B) To train the model
C) To optimize the model's hyperparameters for better performance
D) To evaluate the model's predictions

5. Which feature extraction method can take both interval variables and class variables as inputs?

A) Autoencoder
B) Singular value decomposition
C) Robust PCA
D) Principal component analysis

Solutions: