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Microsoft Developing AI Apps and Agents on Azure Sample Questions:

1. You are deploying a support agent that enables users to upload photos.
You need to automatically classify uploaded images for harmful content. The solution must block content based on severity levels.
What should you do?

A) Enable prompt shields.
B) Use blocklists.
C) Apply keyword scanning to optical character recognition (OCR) output by using Azure Vision in Foundry Tools.
D) Implement image moderation.

2. You have a Microsoft Foundry project that ingests scanned PDF invoices stored in Azure Blob Storage. Each invoice contains printed line items and has a table-based layout.
Extracted results are stored as structured JSON and used as grounding data for an agent in a Retrieval Augmented Generation (RAG) solution.
You need to create a single analyzer that meets the following requirements:
* Extracts the invoice number, invoice date, vendor name, and total amount across varying templates
* Returns confidence scores so that results with confidence below 0.80 can be routed for supervisor review What should you use?

A) a Foundry agent that has groundedness guardrails enabled to extract invoice fields and confidence scores
B) the Azure Content Understanding in Foundry Tools prebuilt-documentSearch analyzer and search.score from the Azure AI Search results for routing
C) a custom Azure Content Understanding in Foundry Tools analyzer that defines the required fields as the extracted fields and the returned confidence scores for routing
D) the Azure Content Understanding in Foundry Tools prebuilt-layout analyzer

3. 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) Add the API key header manually to the OpenAPI specification.
B) Enable identity passthrough so that the tool uses the Microsoft Entra token of the caller.
C) Configure the tool to use the default connection of Project1.
D) Connect the tool to Connection1.

4. You need to recommend a solution to support the planned changes and technical requirements for Agent1 to use the product information stored in storage1.
What should you include in the recommendation?

A) Azure Document Intelligence in Foundry Tools
B) Grounding with Bing Search
C) Azure Al Search
D) Azure Translator 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) an Azure Language in Foundry Tools text analysis model deployment
B) an Azure Content Understanding in Foundry Tools analyzer
C) an Azure OpenAl Responses API call that uses a multimodal model
D) a generative chat completion request

Solutions: