Identify Generative AI Services and Capabilities in Microsoft Azure AI-900 Practice Questions (Page 5)

Questions 21–25

1. 21application · medium

   A developer needs to find a model in the Azure AI Foundry model catalog that supports vision-language tasks. They want to filter by task type and see only models that can be fine-tuned. What should they use?

   • AAzure Machine Learning designer
   • BA web search for vision-language models
   • CThe catalog's filter options for task and fine-tuning support
   • DAzure OpenAI Service API
   Reveal Solution Discussion Select an answer first
2. 22foundation · easy

   How does Azure AI Foundry enhance the model development process for generative AI?

   • ABy exclusively using open-source models to avoid licensing issues
   • BBy providing a single environment for experimentation, evaluation, and deployment
   • CBy eliminating the need for coding in AI application development
   • DBy automatically generating training data for any domain without human input
   Reveal Solution Discussion Select an answer first
4. 23foundation · easy

   What capability of the Azure AI Foundry model catalog allows developers to access models from different sources in a consistent way?

   • ADirect download of model weights for any model
   • BA single API key for all models
   • CUnified access through a common interface
   • DAutomatic conversion of all models to a single format
   Reveal Solution Discussion Select an answer first
5. 24application · medium

   A company wants to build a customer-support chatbot that uses a large language model. The team needs to compare several open-weight models and a few Azure OpenAI models side by side, test them with the same prompts, and then deploy the best one to a production endpoint with monitoring. Which Azure service should the team use as the primary environment?

   • AAzure OpenAI Service only
   • BAzure Machine Learning studio
   • CAzure Cognitive Services multi-service account
   • DAzure AI Foundry
   Reveal Solution Discussion Select an answer first
6. 25application · medium

   A team is using Azure AI Foundry to develop a chatbot. They want to use a model from the catalog and then create a deployment that can be called by their application. What is the correct sequence of actions in Azure AI Foundry?

   • ACreate a deployment, then select a model from the catalog
   • BTrain a custom model before using the catalog
   • CUse the endpoint directly without selecting a model
   • DSelect a model from the catalog, create a deployment, then use the endpoint
   Reveal Solution Discussion Select an answer first