Microsoft AI-103 Q&A - in .pdf

  • AI-103 pdf
  • Exam Code: AI-103
  • Exam Name: Developing AI Apps and Agents on Azure
  • Updated: Jun 05, 2026
  • Q & A: 69 Questions and Answers
  • Convenient, easy to study.
    Printable Microsoft AI-103 PDF Format. It is an electronic file format regardless of the operating system platform.
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  • PDF Price: $59.99

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  • Exam Name: Developing AI Apps and Agents on Azure
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  • Updated: Jun 05, 2026
  • Q & A: 69 Questions and Answers
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Microsoft AI-103 Q&A - Testing Engine

  • AI-103 Testing Engine
  • Exam Code: AI-103
  • Exam Name: Developing AI Apps and Agents on Azure
  • Updated: Jun 05, 2026
  • Q & A: 69 Questions and Answers
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Microsoft Developing AI Apps and Agents on Azure Sample Questions:

1. 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


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


3. You have a Microsoft Foundry project that contains an agent.
You need to enable long-term memory to ensure that the agent can recall user preferences across separate conversations. Stored memories must be isolated per authenticated user without the client application manually generating user IDs.
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.
NOTE: Each correct selection is worth one point.


4. You have a Microsoft Foundry project that contains a deployed chat model.
You have a Python service that sends API requests to the model. The service is integrated with an automated validation system that compares generated outputs against approved response patterns.
Stakeholders report that small wording differences are causing validation mismatches.
You need to update the request parameters to improve output stability. The solution must maximize reasoning quality.
How should you complete the Python code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


5. You have a Microsoft Foundry project that contains an agent. The agent has a Model Context Protocol (MCP) tool that queries a knowledge base stored in Azure AI Search.
Some agent runs return answers from the base model without invoking the knowledge base, which results in responses without grounded citations.
You are provided with the following code snippet that runs the agent.
run = project_client.agents.runs.create_and_process(
thread_id=thread.id,
agent_id=agent.id,
)
You need to add the correct tool_choice parameter to the code to deterministically force the agent to invoke the MCP tool on each run.
What should you add?

A) tool_choice={ " auto " }
B) tool_choice={ " type " : " knowledge_base " }
C) tool_choice ={ " type " : " mcp " }
D) tool_choice={ " required " }


Solutions:

Question # 1
Answer: A
Question # 2
Answer: B
Question # 3
Answer: Only visible for members
Question # 4
Answer: Only visible for members
Question # 5
Answer: D

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