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Microsoft AI-103 Exam Syllabus Topics:

Microsoft Developing AI Apps and Agents on Azure Sample Questions:

1. You have an app named App1 that uses a Microsoft Foundry multimodal model deployment.
App1 runs optical character recognition (OCR) on uploaded images and appends the OCR output to the prompt as additional context.
Some uploaded images contain embedded text.
You need to prevent potentially malicious instructions from being processed by the model.
What should you use?

A) prompt shields for user prompts
B) prompt shields for documents
C) protected material text
D) image moderation

2. A production application authenticates to Microsoft Foundry using an API key stored in an environment variable. Your security team requires that you remove hardcoded secrets and enable per-principal auditing of every call. Which approach meets both requirements?

A) Embed the API key in the deployment pipeline as a masked variable
B) Share a single API key across services and restrict it with IP allow-listing
C) Move the API key into Azure Key Vault and rotate it monthly
D) Authenticate with Microsoft Entra ID using a managed identity (keyless)

3. An agent must call your organisation's internal inventory system, which is exposed as a set of tools. You want the tool definitions maintained centrally and reusable across several agents rather than redefined in each agent. Which Foundry capability fits?

A) Add a Model Context Protocol (MCP) server as an agent tool
B) Fine-tune the model on the inventory system's API schema
C) Increase the model's context window
D) Enable the code interpreter tool

4. You are designing a solution that will answer questions about human resources (HR) policies stored in the PDF format.
You need to ensure that the identical answer to a specific question is returned every time. The solution must minimize development effort.
Which service should you include in the solution?

A) Azure OpenAI
B) Azure AI Language
C) Azure AI Document Intelligence
D) Azure Machine Learning

5. 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) Connect the tool to Connection1.
C) Add the API key header manually to the OpenAPI specification.
D) Enable identity passthrough so that the tool uses the Microsoft Entra token of the caller.

Solutions: