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

1. In reinforcement learning, what is the "reward signal"?

A) The final prediction made by the model
B) The accuracy of the model's predictions
C) A regularization parameter
D) A numerical value that indicates the performance of an action taken by the agent

2. Which data source typically provides access to real-time financial market data?

A) Weather stations
B) Online news websites
C) Social media platforms
D) Stock market APIs

3. 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) Partition Data percentages
C) Event-based Sampling proportions
D) Rules for model comparison statistic

4. In machine learning, what does "overfitting" refer to?

A) A model that performs well on new, unseen data
B) A model that is unable to make predictions
C) A model that is undertrained and has high bias
D) A model that has too much complexity and fits the training data too closely

5. What is the significance of the "bias-variance trade-off" in machine learning?

A) It refers to the trade-off between the number of features and the model's complexity.
B) It represents the trade-off between underfitting and overfitting.
C) It indicates the trade-off between accuracy and precision.
D) It is not relevant in machine learning.

Solutions: