Data Science Methodology Reading Help

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1. Which of the following represent the two important characteristics of the data science methodology?

A. It is a highly iterative process and immediately ends when the model is deployed. B. It has no endpoint because data collection occurs before identifying the data requirements. C. It is a highly iterative process and it never ends. D. It immediately ends when the model is deployed because no feedback is required.

2. For predictive models, a test set, which is similar to, but independent of, the training set, is used to determine how well the model predicts outcomes. This is an example of what step in the methodology?

A. Deployment B. Model Evaluation C. Analytic Approach D. Data Requirements