Exam Name: Developing AI Apps and Agents on Azure
Certification Provider: Microsoft
Corresponding Certification: Azure AI Engineer Associate
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Check Updated on: Sep 10, 2026
No. of Questions: 159 Questions & Answers with Exam Engine
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Microsoft AI-103 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement information extraction and knowledge mining | 10–15% | - Extract structured data from documents
|
| Topic 2: Implement generative AI and agentic solutions | 30–35% | - Build generative AI applications
|
| Topic 3: Implement computer vision solutions | 10–15% | - Implement image analysis and processing
|
| Topic 4: Implement text and speech analysis solutions | 10–15% | - Implement speech capabilities
|
| Topic 5: Plan and manage Azure AI solutions | 25–30% | - Design Azure AI infrastructure
|
Microsoft Developing AI Apps and Agents on Azure Sample Questions:
Hotspot Question
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.
You have an Azure subscription that contains an Azure Al Foundry instance named AI1.
You have an app that automatically triages and resolves issues presented in the log files of a system.
You create an incident manager agent and a DevOps agent that collaborate to resolve the issues.
You need to ensure that the incident manager agent can assign work to the DevOps agent. The solution must minimize development effort.
What should you do?
- A. Configure prompt flow for AI1.
- B. Create a plugin for the DevOps agent.
- C. Configure a connected agent for AI1.
- D. Create a plugin for the incident manager agent.
Explanation: Only visible for Pass4sureCert members. You can sign-up / login (it's free).
You have a chat app in a Microsoft Foundry project and an Azure AI Search vectorized index.
You need to connect to the index to meet the following requirements:
- Complex questions must retrieve information from multiple chunks.
- Multi-turn conversations must influence retrieval planning.
- Retrievals must run in parallel to reduce latency.
Which retrieval approach should you use?
- A. chain of thought
- B. agentic Retrieval Augmented Generation (RAG)
- C. iterative retrieval
- D. classic Retrieval Augmented Generation (RAG)
Explanation: Only visible for Pass4sureCert members. You can sign-up / login (it's free).
You are building a web app named App1 that generates responses by using a model deployed to a Microsoft Foundry project named Project1.
Before sending the prompts to the model, App1 must retrieve documents by using Azure AI Search.
You need to integrate Project1 and App1. The solution must meet the following requirements:
- Multiple client applications must use the same search configuration.
- A security policy must prevent key-based authentication.
- Administrative effort must be minimized.
What should you do?
- A. Create a custom HTTP connection in Foundry and manually configure Azure AI Search endpoints per application.
- B. Call Azure AI Search directly from each application by using Microsoft Entra authentication.
- C. Enable a managed identity for each application and call Azure AI Search directly.
- D. Configure an Azure AI Search connection in Project1 and reference the connection in each application.
Explanation: Only visible for Pass4sureCert members. You can sign-up / login (it's free).
Hotspot Question
You have a Microsoft Foundry project that contains an agent named PaymentAgent.
PaymentAgent includes a function tool that issues customer refunds by using an external API.
You are creating a workflow in YAML.
You need to ensure that the workflow pauses for human approval and continues with the refund step only after approval is granted.
How should you complete the workflow definition? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
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