Model Deployment Quiz

Quiz covering ML Development Lifecycle

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 model deployment in the machine learning lifecycle?

2. 2

   Which of the following best describes the practice of 'Canary Deployment' in ML?

3. 3

   In the context of model monitoring, what is 'Data Drift'?

4. 4

   Why is containerization (e.g., using Docker) highly recommended for ML model deployment?

5. 5

   When implementing a 'Shadow Deployment' strategy, how is the model's performance validated?