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Microsoft Developing AI Apps and Agents on Azure Sample Questions:

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

2. You have a Microsoft Foundry project that generates product marketing images from text prompts.
After publishing several images, the legal team at your company identifies a competitor ' s logo on a sign in the background of an image.
You need to remove only the logo, while preserving the rest of the image.
What should you do?

A) Rerun the prompt by using a different random seed.
B) Increase the prompt guidance strength.
C) Apply a mask-based inpainting edit to the part of the image that contains the logo.
D) Modify the original prompt to exclude brand names.

3. You are building a web app named App1 that generates responses by using a model deployed to a Microsoft Foundry project named Project1.
Before sending the prompts to the model, App1 must retrieve documents by using Azure AI Search.
You need to integrate Project1 and App1. The solution must meet the following requirements:
* Multiple client applications must use the same search configuration.
* A security policy must prevent key-based authentication.
* Administrative effort must be minimized.
What should you do?

A) Call Azure AI Search directly from each application by using Microsoft Entra authentication.
B) Create a custom HTTP connection in Foundry and manually configure Azure AI Search endpoints per application.
C) Configure an Azure AI Search connection in Project1 and reference the connection in each application.
D) Enable a managed identity for each application and call Azure AI Search directly.

4. You are building a speech processing solution in Microsoft Foundry for a customer support platform.
The platform will transcribe live phone calls, so that supervisors at your company can view call transcripts and detect issues while the calls are in progress. The call audio will arrive as a continuous stream from the telephony system.
You need to ensure that the call transcripts appear within only a few seconds of the audio stream.
What should you do?

A) Use real-time speech to text to process streaming audio input.
B) Run a batch transcription job on recorded audio files.
C) Use speech translation to generate the transcripts into multiple languages.
D) Use text to speech by using a custom neural voice.

5. You need to recommend a plan to create a customer support agent by using the Microsoft Foundry Agent Service. The agent must meet the following requirements:
* Retain user preferences across multiple conversations.
* Enable users to provide contextual grounding by directly uploading documents during a chat.
Which Foundry capability should you recommend for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Solutions: