AI-103 무료 덤프문제 온라인 액세스

You have a Microsoft Foundry project that contains a prompt agent used by a customer support web app.
The agent is invoked from a Python service that does NOT run in the Foundry portal.
You need to implement end-to-end tracing to capture latency breakdowns and exceptions across agent runs.
Which two components can you use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

• A.Application Insights
• B.Microsoft Sentinel
• C.the Azure Monitor Agent
• D.a Log Analytics workspace
• E.OpenTelemetry

You have an Azure subscription that contains an Azure OpenAI resource named AI1.
You build a chatbot that uses AI1 to provide generative answers to specific questions.
You need to ensure that questions intended to circumvent built-in safety features are blocked.
Which Azure AI Content Safety feature should you implement?

• A.Moderate text content
• B.Protected material text detection
• C.Monitor online activity
• D.Prompt Shields

You need to add an automated grounding check to a RAG application's continuous evaluation.
The check must return a simple pass or fail result and must not require you to deploy a separate judge model. Which evaluator should you use?

• A.Groundedness, which returns a 1 to 5 score
• B.Fluency
• C.Groundedness Pro
• D.Relevance

A multimodal agent processes user-uploaded images. An attacker embeds hidden text instructions inside an image, hoping the agent will read and act on them. Which Azure AI Content Safety capability is designed to detect this kind of attack?

• A.Raising the image resolution threshold on the analyser
• B.Disabling the agent's file search tool
• C.A content filter set to High severity for the Violence category
• D.Prompt Shields, which detects document and indirect prompt injection

You have a Microsoft Foundry project that contains an agent. The agent generates summaries from retrieved policy documents.
You need to improve response completeness. The solution must be implemented in the logic of the application code before responses are returned.
What should you do?

• A.Decrease the value of the max_tokens parameter.
• B.Add a retry evaluation before the responses are returned.
• C.Replace the model with a smaller deployment.
• D.Switch to Retrieval Augmented Generation (RAG).