Deployment Options Overview Quiz

What you'll be asked

1. Which deployment option in Azure AI Foundry is best suited for high-throughput, low-latency production applications?
2. When deploying a model, what is the primary purpose of defining a 'Compute Target' in Azure AI Foundry?
3. A data scientist needs to process a large dataset of millions of images that do not require an immediate response. Which deployment method should they choose?
4. Which component is required to define the environment in which your model runs when deploying to a managed endpoint?
5. You are deploying a custom model to a managed endpoint and need to ensure traffic is split between two different versions of the model (V1 and V2) for A/B testing. How is this achieved?

Answers and explanations come after you submit.