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Microsoft AI-103 Exam Syllabus Topics:

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

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

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

4. You have a customer support agent built by using the Microsoft Foundry Agent Service. The agent calls an Azure OpenAI model deployment.
During load testing, calls intermittently fail and return an HTTP 429 rate limit exceeded error.
You need to handle throttling to reduce call failures and improve reliability under load. The solution must remain within the service and model limits.
What should you do?

A) Spit uploaded content into smaller files.
B) Create a new thread and retry the calls immediately.
C) Reduce the number of registered tools.
D) Implement a retry policy that uses exponential backoff and jitter.

5. 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) Prompt Shields
B) Monitor online activity
C) Moderate text content
D) Protected material text detection

Solutions: