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

설명: (Fast2test 회원만 볼 수 있음)

You have a Microsoft Foundry project that contains a customer support agent. The agent calls an internal knowledge API tool before generating responses.
Users report the following issues:
- Some requests take more than 15 seconds to complete.
- Some responses are incorrect, even when the knowledge API returns the expected data.
You need to inspect individual agent runs to view the ordered sequence of large language model (LLM) calls, tool invocations, and timing information.
Which observability capability should you use?

• A. monitoring
• B. token usage
• C. tracing
• D. safety metrics

설명: (Fast2test 회원만 볼 수 있음)

You have a large collection of image files and PDF documents stored in an Azure Storage account. The documents contain tabular data.
You need to extract the tables into a structured format that can be imported into a database. The solution must minimize development effort. What should you use?

• A. Azure Vision in Foundry Tools
• B. Azure Document Intelligence in Foundry Tools
• C. Azure AI Video Indexer
• D. Azure Content Understanding in Foundry Tools

설명: (Fast2test 회원만 볼 수 있음)

A developer needs a managed identity to call a Microsoft Foundry project endpoint to run inference and use agents. Security policy requires the least-privilege role that grants data-plane access and nothing more. Which built-in role should you assign to the managed identity?

• A. Cognitive Services Contributor
• B. Azure AI Developer
• C. Foundry User
• D. Foundry Account Owner

설명: (Fast2test 회원만 볼 수 있음)

You have a Microsoft Foundry project that contains an agent.
The knowledge source for the agent is a set of scanned PDF troubleshooting guides stored in Azure Blob Storage. The guide pages contain two-column layouts and tables.
You use Azure Content Understanding in Foundry Tools to process the PDFs.
You plan to ingest the processed content into an index for Retrieval Augmented Generation (RAG) and store extracted fields for downstream automation.
Stakeholders must be able to verify where each extracted field value came from in the original PDF and route low-reliability extractions for manual review.
You need to ensure that the Content Understanding document analyzer output includes a per- field confidence score and source grounding to locations within the source document.
What should you do?

• A. Set enableSegment to true.
• B. Enable estimateFieldSourceAndConfidence.
• C. Provide labeled samples.
• D. Configure the analyzer to use generative extraction for all fields.

설명: (Fast2test 회원만 볼 수 있음)