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Exam Code: AI-103 Vendor: Microsoft Name: Developing AI Apps and Agents on Azure 150 Q&A with Explanation Last Update: Nov 10, 2026
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Microsoft AI-103 Dumps Questions Answers

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AI-103 Questions, Organized by Domain

Every AI-103 question is tagged to its official exam domain, so you can jump straight to the AI-103 topic you need to strengthen instead of working through the set in random order.

1.0
Implementing computer vision solutions
8 Q&As
2.0
Implementing generative AI and agentic solutions
38 Q&As
3.0
Implementing information extraction solutions
12 Q&As
4.0
Implementing text analysis solutions
7 Q&As
5.0
Planning and managing Azure AI solutions
31 Q&As
AI-103 Exam Topics

Practicing in the Online or Download Engine? Your score is automatically broken down the same way - domain by domain - so you can see exactly where you're strongest and weakest as you go.

AI-103 Q&A's Detail

Exam Code:
AI-103
Total Questions:
150 Q&A's
Single Choice Questions:
91 Q&A's
Multiple Choice Questions:
9 Q&A's
Hotspot Questions:
36 Q&A's
Drag Drop Questions:
14 Q&A's

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Microsoft AI-103 Exam Dumps FAQs

The AI-103 exam, officially titled Developing AI Apps and Agents on Azure, validates your ability to build, manage, and deploy AI solutions using Microsoft Azure Foundry services. It is a role-based certification exam for Azure AI Engineers. Passing this exam demonstrates expertise in generative AI, agentic solutions, and integrating Azure AI services.

Azure AI engineers, developers, cloud architects, and data scientists who build AI solutions using Python and Microsoft Foundry.

The Microsoft AI-103 exam usually contains between 40 to 60 exam questions. These include multiple-choice, case studies, and scenario-based questions designed to test real-world problem-solving skills.

Candidates are typically given 100 to 120 minutes of active exam time to complete the AI-103 exam, within a total appointment duration of 120 to 140 minutes (which includes time for reading instructions, the NDA, and post-exam surveys).

The passing score for the AI-103 exam is 700 out of 1000. Microsoft uses a scaled scoring system to evaluate performance across different sections.

The main difference is that AI-103 focuses on building AI applications and agents, while the AI-200 exam focuses on building the Azure cloud infrastructure and backend services that support AI solutions at scale.

Yes, with the right preparation strategy, it is possible to pass the exam on the first attempt. Using high-quality Microsoft AI-103 practice questions, real questions, and study guides from Marks4sure, along with consistent study, ensures a high success rate.
Microsoft certifications are valid for one year and can be renewed by passing a free online assessment on Microsoft Learn.

AI‑103 is considered intermediate to advanced, requiring prior knowledge of Python, Azure AI services, and generative AI concepts.

Developing AI Apps and Agents on Azure Questions and Answers

Question 1

You need to persist state by using a durable ID so that the agent automatically reuses the full interaction history across turns and sessions.

Options:

A.

conversation

B.

agent

C.

response

D.

output item

Question 2

You have an Azure Speech in Foundry Tools resource that hosts a custom speech to text model deployed to a custom endpoint. An

agent uses the endpoint to perform real-time speech recognition.

You are approaching the expiration date of the custom speech to text model.

What is the expected behavior when the model expires?

Options:

A.

Speech recognition requests will fall back to the most recent base model for the same locale.

B.

Speech recognition requests will continue to use the expired custom model until the model is removed manually.

C.

Speech recognition requests will return a 4xx error until a new custom model is deployed.

D.

The custom model will be deleted automatically when the model expires.

Question 3

You have a Microsoft Foundry project that processes procurement documents submitted by suppliers.

You need to implement two pipelines by using Azure Content Understanding in Foundry Tools. The solution must meet the following requirements:

• Include a pipeline named Pipeline1 that supports cost-effective, high-volume processing of standalone PDF invoices.

• Include a pipeline named Pipeline2 that supports cross-document validation by using multi-step reasoning and reference data.

How should you configure each pipeline? To answer, drag the appropriate configurations to the correct pipelines. Each configuration may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

NOTE: Each correct selection is worth one point.

AI-103 Question 3

Options:

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Oct 27, 2026

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