Managed Online Endpoints Quiz

What you'll be asked

1. What is the primary purpose of a Managed Online Endpoint in a machine learning lifecycle?
2. When deploying a model to a Managed Online Endpoint, what is the function of a 'Deployment' within that endpoint?
3. If you want to perform a canary rollout where 10% of traffic is sent to a new model version and 90% to the existing version, how do you achieve this with Managed Online Endpoints?
4. Which of the following is a key advantage of using Managed Online Endpoints over self-managed Kubernetes-based deployments?
5. You have a high-traffic endpoint and notice that latency is increasing during peak hours. What is the most effective way to configure the Managed Online Endpoint to handle this?

Answers and explanations come after you submit.