Canary ML Deployments Quiz

Quiz covering Advanced Deployment

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

1. 1

   What is the primary purpose of a Canary deployment in a Machine Learning production environment?

2. 2

   When monitoring a Canary deployment for an ML model, which metric is most critical to compare against the baseline model?

3. 3

   You are performing a Canary rollout and notice a sudden spike in 5xx errors for the new model version. What is the recommended immediate action?

4. 4

   In a sophisticated Canary deployment setup, which mechanism is typically used to ensure that a specific user consistently receives predictions from the same model version during the testing period?

5. 5

   When conducting a Canary deployment for a model that requires complex stateful features from a feature store, why is 'Traffic Shadowing' (or Dark Launching) often used as a precursor to the actual Canary rollout?