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Microsoft Developing AI Apps and Agents on Azure Sample Questions:

1. You need to recommend a plan to create a customer support agent by using the Microsoft Foundry Agent Service. The agent must meet the following requirements:
* Retain user preferences across multiple conversations.
* Enable users to provide contextual grounding by directly uploading documents during a chat.
Which Foundry capability should you recommend for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

2. 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.

3. You have an application that processes scanned PDF invoices. The invoices have varied layouts and include multipage tables.
You have a pipeline that uses optical character recognition (OCR) and extracts totals and invoice numbers.
The results are often
incorrect because the document structure is ignored.
You need to implement a solution that provides OCR, layout analysis, and template-generalizing field extraction. The solution must NOT require training a custom model. The solution must minimize administrative effort.
What should you include in the solution?

A) Azure Content Understanding in Foundry Tools
B) Azure Language in Foundry Tools
C) an Azure Machine Learning model

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

5. You have a Microsoft Foundry project that contains an agent.
The agent ingests scanned PDF vendor invoices that contain tables and embedded QR codes.
The agent must preserve the PDF layout in the extracted output to ensure that downstream processing can reference sections and tables.
You plan to call Azure Content Understanding in Foundry Tools.
You need to extract content and layout elements and detect QR codes without requiring a language model deployment.
Which built-in analyzer should you use?

A) prebuilt-documentSearch
B) prebuilt-layout
C) prebuilt-read
D) prebuilt-documentFieldSchema

Solutions: