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Microsoft Developing AI Apps and Agents on Azure Sample Questions:

1. You are creating an image-editing workflow in a Microsoft Foundry project.
The workflow must meet the following requirements:
* Ensure that background objects can be removed by applying a mask-based inpainting edit.
* Preserve the original lighting and style of the edited images.
* Use the built-in image editing controls, NOT a custom model.
You need to ensure that image edits apply exclusively inside the masked area.
How should you configure the workflow?

A) Set generation mode to image_variation and provide the original image as a reference.
B) Enable image_to_image mode and a high-strength value to regenerate the full image based on the prompt.
C) Enable text_to_image mode and a prompt describing the desired background removal.
D) Enable mask_inpainting and supply both the input image and a mask indicating which part of the image to modify.

2. You have an Azure Speech in Foundry Tools resource that hosts a custom speech to text model deployed to a custom endpoint. An agent uses the endpoint to perform real-time speech recognition.
You are approaching the expiration date of the custom speech to text model.
What is the expected behavior when the model expires?

A) Speech recognition requests will return a 4xx error until a new custom model is deployed.
B) Speech recognition requests will fall back to the most recent base model for the same locale.
C) Speech recognition requests will continue to use the expired custom model until the model is removed manually.
D) The custom model will be deleted automatically when the model expires.

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

4. You have a Microsoft Foundry project that contains a high-traffic agent.
After a recent update, operational costs increase significantly.
Monitoring confirms that the volume of user traffic to the agent remains unchanged.
You suspect that changes to the request or response characteristics are causing the increase.
You need to identify whether the additional costs are driven by the model input size, the model output size, or expanded tool usage.
Which observability capability should you use?

A) evaluation metrics
B) run success rate
C) latency
D) token usage

5. You have a Microsoft Foundry project that contains a customer support agent grounded in internal documentation.
After a recent update, users report the following issues:
* Some answers are unsupported by retrieved documents.
* A small number of responses are flagged for policy violations.
You need to evaluate each issue.
Which observability signals should you use for each issue? To answer, drag the appropriate observability signals to the correct issues. Each observability signal 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.

Solutions: