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

1. What is a data lake architecture designed to store primarily?

A) Highly structured data in tabular format
B) Data from a single source or department
C) Only unstructured data in raw form
D) All types of data, including structured and unstructured data

2. A project has been created and a pipeline has been run in Model Studio.
Which project setting can you edit?

A) Advisor Options for missing values
B) Event-based Sampling proportions
C) Rules for model comparison statistic
D) Partition Data percentages

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

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

4. What is the purpose of an ROC curve (Receiver Operating Characteristic) in model assessment?

A) To compare a model's true positive rate with the false positive rate
B) To visualize data distribution
C) To measure feature importance
D) To evaluate regression models

5. What does API stand for in the context of data sources?

A) Automated Program Integration
B) Application Program Interface
C) Advanced Programming Integration
D) Application Programming Interface

Solutions: