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Microsoft AI-103 Exam Syllabus Topics:

Microsoft Developing AI Apps and Agents on Azure Sample Questions:

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

2. You are building a voice agent for a pharmacy. It must accept spoken questions, reply with synthesised speech, and accurately recognise specialised medicine names that a general speech model often mishears. Which capability should you configure?

A) Azure Translator to convert the audio
B) A custom speech model for speech-to-text within the agent
C) Only the default text-to-speech voice
D) Azure AI Document Intelligence on the audio stream

3. Drag and Drop Question
You have a web app that uses Azure AI Search.
When reviewing activity you see greater than expected search query volumes. You suspect that the query key is compromised.
You need to prevent unauthorized access to the search endpoint and ensure that users only have read only access to the documents collection. The solution must minimize app downtime.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

4. You have an Azure AI Search indexer that ingests PDF policy manuals.
Client applications must display page-level citations that have bounding polygons for both text and images.
You need to add a single built-in multimodal content extraction skill to the Azure AI Search skillset. The solution must meet the following requirements:
- Provide text and image location metadata.
- Extract tables that span multiple pages.
What should you add?

A) GenAI Prompt
B) Document Layout
C) Document Extraction
D) Azure Content Understanding in Foundry Tools

5. You have a Microsoft Foundry project that contains an agent.
You need to process mixed-format documents that contain scanned text, tables, and multicolumn layouts. The extracted content must preserve the document structure and be converted into the Markdown format for downstream reasoning.
What should you configure first?

A) a generative chat completion request
B) an Azure Content Understanding in Foundry Tools analyzer
C) an Azure OpenAI Responses API call that uses a multimodal model
D) an Azure Language in Foundry Tools text analysis model deployment

Solutions: