AI-103 試験問題を無料オンラインアクセス

You are designing a solution that will answer questions about human resources (HR) policies stored in the PDF format.
You need to ensure that the identical answer to a specific question is returned every time. The solution must minimize development effort.
Which service should you include in the solution?

• A.Azure AI Language
• B.Azure OpenAI
• C.Azure Machine Learning
• D.Azure AI Document Intelligence

You have a customer support agent built by using the Microsoft Foundry Agent Service. The agent calls an Azure OpenAI model deployment.
During load testing, calls intermittently fail and return an HTTP 429 rate limit exceeded error.
You need to handle throttling to reduce call failures and improve reliability under load. The solution must remain within the service and model limits.
What should you do?

• A.Reduce the number of registered tools.
• B.Create a new thread and retry the calls immediately.
• C.Spit uploaded content into smaller files.
• D.Implement a retry policy that uses exponential backoff and jitter.

Drag and Drop Question
You have a Microsoft Foundry project that contains a deployed ticket-triage agent.
You discover that sometimes the agent responds without calling any tools, even when a tool is required.
You need to ensure that the agent calls a tool during execution.
How should you complete the Python code? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

正解：

You are building a voice agent for a pharmacy. It must accept spoken questions, reply with synthesised speech, and accurately recognise specialised medicine names that a general speech model often mishears. Which capability should you configure?

• A.Azure AI Document Intelligence on the audio stream
• B.A custom speech model for speech-to-text within the agent
• C.Azure Translator to convert the audio
• D.Only the default text-to-speech voice

You are planning a Microsoft Foundry project named Project1 that will contain multiple agents.
Each agent will access the same Azure AI Search resource.
You need to recommend a solution to centrally manage the Azure AI Search credentials within Project1. The solution must be implemented across all the agents.
What should you recommend?

• A.Enable role-based access control (RBAC) for the Azure AI Search resource.
• B.Add a connection to the Azure AI Search resource.
• C.Create a managed private endpoint that connects to the Azure AI Search resource.
• D.Disable key-based access control on the Azure AI Search resource.