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Microsoft Developing AI Apps and Agents on Azure Sample Questions:

1. 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 Language in Foundry Tools text analysis model deployment
C) an Azure Content Understanding in Foundry Tools analyzer
D) an Azure OpenAl Responses API call that uses a multimodal model

2. You have a Microsoft Foundry project that contains a customer support agent built by using the Foundry Agent Service.
The agent uploads user-provided screenshots to Azure Storage through a ticketing tool and receives a blob URL for additional reasoning.
You need to use image moderation during agent runs and prevent harmful content from being returned during runs. Azure Al Content Safety must access the images by using the blob URL. The solution must follow the principle of least privilege.
What should you configure for Content Safety? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

3. You need to configure Agent1 to answer customer questions about only the Contoso products. The solution must meet the business requirements.
What should you do?

A) Modify the system message instructions.
B) Apply top-p sampling.
C) Increase the value of the temperature parameter.
D) Add few-shot examples.

4. You have a Microsoft Foundry project that serves a high-volume chat app.
Most requests are simple FAQs, but some require advanced reasoning.
You need to reduce costs and latency for common queries, without degrading the quality of the responses to complex questions.
What should you do?

A) Route all the requests to the most capable model.
B) Increase the value of the max_tokens parameter for all the requests.
C) Route all the requests to a smaller model.
D) Use a model cascade that routes the requests to different models.

5. 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 Translator in Foundry Tools
B) Azure Al Search
C) Azure Document Intelligence in Foundry Tools
D) Grounding with Bing Search

Solutions: