Azure AI Foundry Overview Quiz

What you'll be asked

1. What is the primary purpose of Azure AI Foundry (formerly Azure AI Studio) when working with Generative AI?
2. When building a RAG (Retrieval-Augmented Generation) application in Azure AI Foundry, which component is primarily responsible for storing and searching vector embeddings of your documents?
3. You are evaluating a model's performance in Azure AI Foundry. Which feature allows you to perform automated quantitative assessments of model outputs based on metrics like groundedness and relevance?
4. What is the primary benefit of using the 'Model Catalog' within Azure AI Foundry?
5. You need to deploy a model in Azure AI Foundry and ensure that the inference endpoint is private, preventing access from the public internet. Which configuration is required?

Answers and explanations come after you submit.