You have a Microsoft Foundry project that contains an agent.
The agent uses Azure AI Search as the retriever.
You plan to ingest PDF into an Azure AI Search index to ensure that the agent can ground responses in texts in both documents and embedded images.
Users require citations that link to the source files.
You need to ensure that during indexing, the images are extracted into a structure that can be used as input for the built-in optical character recognition (OCR) skill.
Which indexing approach should you use?

• A. a skillset to run the OCR skill directly against the content field of the index
• B. the outputFieldMappings parameter to write image data to a searchable field
• C. an indexer to extract image data into a normalized_images collection
• D. a Shaper skill to restructure the OCR input

You have a Microsoft Foundry project that contains a customer support agent built on a deployed chat model.
The agent responses are validated by using an automated testing system that compares generated answers to stored expected outputs. Identical prompts must return consistent response to prevent automated test failures.
You need to reduce response variability, without modifying the prompt or reducing factual accuracy.
What should you do for the model?

• A. Remove stop sequences from the requests.
• B. Decrease the temperature parameter.
• C. Increase the max_tokens parameter.
• D. Increase the temperature parameter.

You have a Microsoft Foundry project named Project1 that contains the following:
- An OpenAPI tool that calls an external API
- A project connection named Connection1 that stores the API key of the external API When an agent calls the OpenAPI tool, the API returns a 401 unauthorized error, and traces show that the API key header is NOT being sent.
You need to ensure that the OpenAPI tool automatically includes the API key from Connection1 on all requests.
What should you do?

• A. Enable identity passthrough so that the tool uses the Microsoft Entra token of the caller.
• B. Add the API key header manually to the OpenAPI specification.
• C. Configure the tool to use the default connection of Project1.
• D. Connect the tool to Connection1.

You are deploying a support agent that enables users to upload photos.
You need to automatically classify uploaded images for harmful content. The solution must block content based on severity levels.
What should you do?

• A. Apply keyword scanning to optical character recognition (OCR) output by using Azure Vision in Foundry Tools.
• B. Use blocklists.
• C. Implement image moderation.
• D. Enable prompt shields.

You are creating an agent workflow in a Microsoft Foundry project to support natural voice interactions.
The agent must receive continuous audio input, convert the input into text for reasoning, and then return spoken responses to a user. The workflow must meet the following requirements:
- Support turn-taking dynamics, where the agent begins to generate the
speech output before the user finishes speaking.
- Operate with low latency to maintain conversational experience.
You need to enable both speech to text and text to speech in a real-time agent interaction.
What should you do?

• A. Use batch transcription to convert the audio input and return text responses from the agent.
• B. Use speech translation to convert the audio into another language and return the translated text.
• C. Use real-time speech to text for incoming audio and text to speech for agent responses.
• D. Use an embeddings model to encode the audio, and then decode the audio into text and speech.