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AI-103 Dumps - Developing AI Apps and Agents on Azure Practice Exam Questions

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    • Total Questions:67
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Microsoft AI-103 - Developing AI Apps and Agents on Azure Braindumps

Microsoft AI-103 - Azure AI Engineer Associate Practice Exam

  • Certification Provider:Microsoft
  • Exam Code:AI-103
  • Exam Name:Developing AI Apps and Agents on Azure
  • Certification Name:Azure AI Engineer Associate
  • Total Questions:67 Questions and Answers With Detailed Explanations
  • Updated on:Based on the current AI-103 exam blueprint. Updated on Jun 27, 2026
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Microsoft AI-103 This Week Results

  • 22
    Students Passed

    Developing AI Apps and Agents on Azure

  • 94%
    Average Marks

    In Real Exam At Testing Centre

  • 87%
    same from this dump

    Exact Questions as in Real Exam Word by Word

  • 67
    Total Questions

    Microsoft AI-103 Questions and Answers

AI-103 Question and Answers

Question # 1

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.

Question # 1

Options:

Question # 2

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?

Options:

A.  

Implement image moderation.

B.  

Enable prompt shields.

C.  

Apply keyword scanning to optical character recognition (OCR) output by using Azure Vision in Foundry Tools.

D.  

Use blocklists.

Question # 3

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?

Options:

A.  

Enable a managed identity for each application and call Azure AI Search directly.

B.  

Create a custom HTTP connection in Foundry and manually configure Azure AI Search endpoints per application.

C.  

Call Azure AI Search directly from each application by using Microsoft Entra authentication.

D.  

Configure an Azure AI Search connection in Project1 and reference the connection in each application.

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Microsoft AI-103 Exam Domains Breakdown

Domain Weightage
Plan and manage an Azure AI solution 20%
Implement generative AI and agentic solutions 20%
Implement computer vision solutions 20%
Implement text analysis solutions 20%
Implement information extraction solutions 20%

 

The AI-103 exam validates your ability to build and deploy advanced AI systems using the Azure platform and Microsoft Foundry. To succeed, you must demonstrate technical proficiency in five critical areas: planning and managing Azure AI solutions, implementing generative AI and agentic workflows, executing computer vision tasks, performing LLM-based text analysis, and architecting information extraction pipelines. This certification is essential for developers looking to master real-world AI deployment, as it bridges the gap between prototyping and production-ready applications. Mastering these skills proves you can deliver scalable, secure, and intelligent solutions, positioning you as a highly competitive expert in the rapidly evolving AI engineering landscape.

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A top-tier study companion for anyone focusing on AI solutions. The depth of coverage regarding model deployment and resource management gave me the professional confidence I needed to tackle even the most difficult exam modules comfortably.

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