Identify Generative AI Services and Capabilities in Microsoft Azure AI-900 Practice Questions (Page 7)

Questions 31–35

1. 31expert · hard

   A team needs to deploy a model from the Azure AI Foundry model catalog to a real-time endpoint. They have a requirement for low latency and high availability. What should they evaluate in the model catalog?

   • AThe model's license type
   • BThe model's training dataset size
   • CThe model's benchmark scores
   • DThe model's deployment options and supported SKUs
   Reveal Solution Discussion Select an answer first
2. 32application · medium

   A company is using Azure OpenAI Service to generate code snippets. They want to ensure the generated code does not contain security vulnerabilities. Which Azure OpenAI Service feature should they rely on?

   • AFine-tuning with secure code examples
   • BNone of these features can guarantee security
   • CPrompt engineering with security guidelines
   • DContent filtering
   Reveal Solution Discussion Select an answer first
4. 33expert · hard

   A company must comply with data residency requirements that mandate all data processing occur within a specific geographic region. They plan to use Azure OpenAI Service. What is the most important factor to verify?

   • AThe content filtering settings
   • BThe availability of Azure OpenAI Service in the required region
   • CThe API version being used
   • DThe model's training data origin
   Reveal Solution Discussion Select an answer first
5. 34foundation · easy

   Which statement best describes the role of Azure AI Foundry in a generative AI project?

   • AIt is a data labeling tool used exclusively for preparing training datasets
   • BIt is an integrated environment that helps developers build, test, and deploy AI applications
   • CIt is a model repository that only stores pre-trained models for download
   • DIt is a monitoring service that only tracks the performance of deployed models
   Reveal Solution Discussion Select an answer first
6. 35application · medium

   A healthcare organization wants to use a specific open-source language model from the Azure AI Foundry model catalog. They need to ensure the model is available in their Azure region and can be deployed to a real-time endpoint. What should they verify in the model catalog?

   • AThe model's training data size
   • BThe model's license for commercial use
   • CModel availability and deployment options
   • DThe model's benchmark scores on public datasets
   Reveal Solution Discussion Select an answer first