Question 16

Which of the following MLflow Model Registry use cases requires the use of an HTTP Webhook?
  • Question 17

    Which of the following deployment paradigms can centrally compute predictions for a single record with exceedingly fast results?
  • Question 18

    Which of the following is a simple statistic to monitor for categorical feature drift?
  • Question 19

    A machine learning engineer and data scientist are working together to convert a batch deployment to an always-on streaming deployment. The machine learning engineer has expressed that rigorous data tests must be put in place as a part of their conversion to account for potential changes in data formats.
    Which of the following describes why these types of data type tests and checks are particularly important for streaming deployments?
  • Question 20

    Which of the following machine learning model deployment paradigms is the most common for machine learning projects?