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Microsoft AI-103 Exam Syllabus Topics:

Microsoft Developing AI Apps and Agents on Azure Sample Questions:

1. You are developing a new sales system that will process user-generated video and text from a public-facing website.
You plan to notify users that their data has been processed by the sales system.
Which responsible AI principle does this help meet?

A) fairness
B) reliability and safety
C) inclusiveness
D) transparency

2. Drag and Drop Question
You have a Microsoft Foundry project that contains a deployed ticket-triage agent.
You discover that sometimes the agent responds without calling any tools, even when a tool is required.
You need to ensure that the agent calls a tool during execution.
How should you complete the Python code? To answer, drag the appropriate values to the correct targets. Each value 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.

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

4. You have an application named App1 that uses Azure Speech in Foundry Tools to transcribe live calls.
Transcript segments often contain both English and Spanish. App1 sends each segment to Azure Translator in Foundry Tools to translate to another language.
Sometimes, mixed-language segments result in incomplete or incorrect translations.
You need to reduce translation errors. The solution must ensure that the entire transcript is translated successfully.
What should you do before sending the segments to Translator?

A) Split the mixed-language segments into single-language segments and translate each segment separately.
B) Use document translation to translate the entire transcript as a single document.
C) Specify English as the source language in the translation request for all the segments.
D) Enable automatic language detection for the translation request.

5. You are planning a Microsoft Foundry project named Project1 that will contain multiple agents.
Each agent will access the same Azure AI Search resource.
You need to recommend a solution to centrally manage the Azure AI Search credentials within Project1. The solution must be implemented across all the agents.
What should you recommend?

A) Create a managed private endpoint that connects to the Azure AI Search resource.
B) Disable key-based access control on the Azure AI Search resource.
C) Enable role-based access control (RBAC) for the Azure AI Search resource.
D) Add a connection to the Azure AI Search resource.

Solutions: