Identify Generative AI Services and Capabilities in Microsoft Azure AI-900 Practice Questions (Page 8)

Questions 36–40

1. 36foundation · easy

   What management feature does the Azure AI Foundry model catalog provide for models that are used in production?

   • AData encryption for training data
   • BVersioning to track changes and updates
   • CCost optimization for all deployments
   • DAutomatic retraining when performance drops
   Reveal Solution Discussion Select an answer first
2. 37application · medium

   An organization wants to standardize how its developers select AI models. They plan to use the Azure AI Foundry model catalog to let developers browse available models, view details, and filter by capability. What is the primary benefit of using the model catalog for this purpose?

   • AIt guarantees the lowest inference cost for any selected model
   • BIt replaces the need for any external model registries
   • CIt automatically trains a custom model for each developer's use case
   • DIt provides a centralized place to discover and compare models from multiple sources
   Reveal Solution Discussion Select an answer first
4. 38application · medium

   A retail company wants to build a customer-support chatbot that uses a large language model. The team needs to deploy the model in Azure, manage API keys, and monitor usage. Which Azure service should the team use?

   • AAzure OpenAI Service
   • BAzure Cognitive Search
   • CAzure Machine Learning
   • DAzure AI Foundry
   Reveal Solution Discussion Select an answer first
5. 39application · medium

   A machine learning engineer wants to deploy a Llama model from the Azure AI Foundry model catalog to a production endpoint. The engineer needs to ensure the endpoint scales with demand and is monitored. What should the engineer do?

   • ADownload the model and host it on Azure Container Instances
   • BUse Azure OpenAI Service to deploy the Llama model
   • CCreate a custom Docker image and deploy to Azure Kubernetes Service
   • DDeploy the model to a managed online endpoint from the model catalog
   Reveal Solution Discussion Select an answer first
6. 40foundation · easy

   How does the Azure AI Foundry model catalog help in organizing AI models for an enterprise?

   • ABy automatically tagging models based on usage patterns
   • BBy grouping models by provider, task, and licensing terms
   • CBy requiring all models to be deployed before they can be added
   • DBy storing models in a single flat list without any categorization
   Reveal Solution Discussion Select an answer first