Updated for 2026 Exam Objectives

AI-103 Practice Test

AI-103 is in beta — Microsoft Learn alone won't prepare you for the agent and RAG scenarios this exam tests.

Our 500 AI-103 beta exam questions cover the full blueprint: Azure AI Foundry agents, RAG pipelines, prompt engineering, Azure AI Search, Document Intelligence, Computer Vision, and responsible AI governance — calibrated for the scenario-heavy format Microsoft is testing in this beta.

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Your AI-103 exam is in the next 2-4 weeks
You've studied the concepts but aren't sure you'll pass
You want questions harder than the real exam
You want to understand why answers are correct, not just memorize

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You're looking for braindumps or exam leaks
You haven't started studying the concepts yet
Most successful candidates start practice 2-3 weeks before their exam
Updated for April 2026 exam blueprint

AI-103 Exam Details

What to expect on exam day

Questions

40

Duration

120 minutes

Passing Score

700

Exam Cost

$165

Exam Domains Covered

Master all topics tested on the AI-103 exam

1

Plan and manage an Azure AI solution (10–15%)

2

Implement generative AI and agentic solutions (35–40%)

3

Implement computer vision solutions (15–20%)

4

Implement text analysis solutions (15–20%)

5

Implement information extraction solutions (10–15%)

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5 Free AI-103 Questions

See how ready you are for the AI-103 exam. Each question includes a detailed explanation so you learn as you go.

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Why Practice with MSCertQuiz?

Microsoft Learn teaches concepts. We prepare you for the actual exam.

1

Scenario-based questions that mirror the complex agentic and RAG architectures tested on the real exam

2

Explanations teach Azure AI Foundry architecture, not just answers — so you handle unfamiliar scenarios

3

Full coverage of all five domains including Azure AI Search, Document Intelligence, and Content Understanding

4

Updated for the 2026 AI-103 exam objectives including Azure AI Foundry agent solutions

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What Our Users Say

91% pass rate — Based on users who completed at least 2 practice exams

“The agentic RAG pipeline questions were exactly what I needed. Nothing else online covers Azure AI Foundry agents at this depth. Passed AI-103 with an 820.”

RK

Ravi K.

AI-103 Certified

“The scenario-based questions forced me to think architecturally, not just recall facts. That preparation made the real exam feel straightforward. Scored 790.”

EM

Elena M.

Passed AI-103 first try

“Covers all five domains in real depth — especially the information extraction and search sections that other practice tests ignore entirely. Scored 810.”

TH

Thomas H.

AI-103 Certified

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Official Microsoft Resources

Our practice questions are aligned with official Microsoft exam objectives. We recommend studying with Microsoft Learn first, then using MSCertQuiz to test your readiness.

View Official AI-103 Exam Details

AI-103 Frequently Asked Questions

Everything you need to know about the AI-103 Developing AI Apps and Agents on Azure certification

What is the passing score for AI-103?
The passing score for AI-103 is 700 out of 1000. Microsoft uses a scaled scoring method, so the exact number of correct answers required varies. Consistently scoring above 80% on practice tests gives you a comfortable margin on exam day.
How many questions is the AI-103 exam?
The AI-103 exam contains approximately 40 to 60 questions. Question types include multiple choice, case studies, and scenario-based questions that test your ability to design and implement Azure AI solutions in realistic architectural contexts.
How long is the AI-103 exam?
The AI-103 exam duration is 120 minutes. This allows time for both straightforward knowledge questions and longer scenario-based case studies that require careful reading and analysis of architectural requirements.
How much does the AI-103 exam cost?
The AI-103 exam costs $165 USD. Microsoft regularly offers free exam vouchers through Microsoft Learn challenges, virtual training days, and partner programs — check the Microsoft Learn events page before paying full price.
Is AI-103 hard?
AI-103 is considered one of the more challenging Azure AI exams because it requires both broad knowledge of Azure AI services and deep understanding of how to architect agentic solutions, RAG pipelines, and multi-modal AI workflows. The 60% Hard scenario-based question emphasis means rote memorization is not enough — you need to apply concepts to realistic situations.
How long should I study for AI-103?
Most candidates spend 4–8 weeks preparing. If you have experience with Azure AI Foundry or Azure OpenAI, 4 weeks may suffice. Focus on generative AI and agentic solutions (35–40% of the exam), then cover computer vision, text analysis, and information extraction domains. Practice with scenario-based questions, not just concept recall.
What topics are covered in AI-103?
AI-103 covers five domains: planning and managing Azure AI solutions (networking, security, quotas, responsible AI); implementing generative AI and agentic solutions (Azure AI Foundry, RAG, agents, prompt engineering); implementing computer vision solutions (image analysis, Azure Content Understanding); implementing text analysis solutions (Language service, Speech, Translator); and implementing information extraction solutions (Azure AI Search, Document Intelligence).
Does AI-103 expire?
Yes, AI-103 is a role-based Associate certification and follows Microsoft's standard renewal policy — you must renew annually via a free online assessment on Microsoft Learn. Renewal assessments are available 6 months before expiry and can be retaken for free until you pass.
Is AI-103 still in beta?
Yes, AI-103 is currently a beta exam as of 2026. Beta exams have the same content rigor as GA exams but offer two advantages: a discounted exam fee (typically around $99 instead of $165) and the opportunity to be among the first to earn the credential. The trade-off is that beta scores are released later — usually 1–2 weeks after Microsoft analyzes the question performance and finalizes the cut score.
When will AI-103 be released (GA date)?
Microsoft has not announced an official GA date for AI-103. Beta exams typically transition to general availability 2–4 months after the beta period closes, once Microsoft finalizes scoring and removes underperforming questions. Until then, the AI-103 beta exam is available through Microsoft Learn and Pearson VUE. If you pass during the beta, your credential is identical to the post-GA certification.
What is the Microsoft Spring Skills Challenge 2026 for AI-103?
The Microsoft Spring Skills Challenge 2026 is a free Microsoft Learn program offering discount vouchers (up to 50% off) for several beta exams including AI-103 and AI-901. To qualify, you complete a designated Microsoft Learn learning path within the challenge window. Check the Microsoft Learn events page for current eligibility, start date, and voucher claim instructions — challenges typically have a fixed registration window.
How is AI-103 different from AI-102?
AI-103 replaces AI-102 with a major shift in focus from individual Azure AI services to Azure AI Foundry as the unified development platform. AI-103 places much heavier emphasis on generative AI and agentic solutions (35–40% of the exam vs. roughly 15% in AI-102), introduces dedicated sections on RAG pipelines and Azure AI Search, and integrates Document Intelligence into a broader information extraction domain. If you studied for AI-102, plan to add 2–3 weeks of focused study on Azure AI Foundry, agents, and Content Understanding before sitting AI-103.
What are the prerequisites for AI-103?
There are no formal prerequisites, but Microsoft recommends hands-on experience with Azure AI services and Python or C# development. Familiarity with REST APIs, Azure resource management, and at least one prior AI exam (AI-900 or AI-901) makes preparation significantly easier. Most candidates without development experience need 8–12 weeks of preparation rather than the typical 4–8.

AI-103 Beta Exam Status (2026)

AI-103 is currently a beta exam. The certification covers the same scope as the final GA release, but offers two practical advantages: a discounted exam fee (typically around $99 USD during beta, compared to the post-GA $165) and the chance to be among the first to earn the credential. Beta scores are delayed — usually 1–2 weeks after Microsoft finalizes question performance analysis and sets the cut score.

Microsoft has not announced a specific GA date. Beta exams typically transition to general availability 2–4 months after the beta window closes. If you pass during the beta period, your credential is identical to the post-GA certification — there is no separate beta badge.

Microsoft Spring Skills Challenge 2026 for AI-103

The Microsoft Spring Skills Challenge 2026 is a free Microsoft Learn program that grants discount vouchers (commonly 50% off) for beta exams including AI-103 and AI-901. To qualify, you complete a designated Microsoft Learn learning path within the registration window.

Combined with the already-reduced beta exam fee, the Spring Skills Challenge voucher can bring the AI-103 cost down significantly. Check the Microsoft Learn events page for the current eligibility window and voucher claim instructions — challenges have fixed registration deadlines.

AI-103 vs AI-102: What Changed?

AI-103 replaces AI-102. The major shift: Azure AI Foundry is now the unified development surface, and generative AI / agentic solutions dominate the exam. If you studied AI-102, plan additional time on agents and RAG.

AI-103AI-102 (retiring)
Primary platformAzure AI Foundry (unified)Individual Azure AI services
Generative AI weight35–40% (agents + RAG)~15%
Document IntelligenceIn Information Extraction domain (with AI Search)Standalone domain
Agent solutionsHeavy emphasis — agentic patterns, tools, orchestrationMinimal coverage
Exam fee$165 USD (~$99 in beta)$165 USD

If you sat AI-102 recently, add 2–3 weeks of focused study on Azure AI Foundry, agents, and Content Understanding before sitting AI-103.

AI-103 Exam Topics: Domain Breakdown

Plan and Manage an Azure AI Solution

10–15%

Azure AI service selection, networking and private endpoints, RBAC (including Cognitive Services OpenAI User vs. Contributor), quotas, responsible AI principles, monitoring with Application Insights.

Implement Generative AI and Agentic Solutions

35–40%

Azure AI Foundry projects and deployments, prompt engineering, RAG pipelines with Azure AI Search, agentic patterns (tools, orchestration), Azure OpenAI model selection, fine-tuning vs. RAG trade-offs, content filtering.

Implement Computer Vision Solutions

15–20%

Azure AI Vision (image analysis, OCR, spatial analysis), Azure AI Content Understanding for multi-modal extraction, Custom Vision projects, Face API capabilities and Limited Access.

Implement Text Analysis Solutions

15–20%

Azure AI Language (NER, sentiment, key phrase, language detection, summarization), Custom text classification and CLU, Azure AI Speech (transcription, translation, custom voice), Translator.

Implement Information Extraction Solutions

10–15%

Azure AI Document Intelligence (prebuilt models, custom models, layout), Azure AI Search (indexers, vector search, semantic ranking), integrating extraction outputs into RAG pipelines.

AI-103 Study Guide: 6-Week Plan

Most candidates pass AI-103 with 4–8 weeks of preparation. This 6-week plan balances Microsoft Learn theory with scenario practice:

  • Week 1–2: Microsoft Learn paths for Azure AI Foundry, Azure AI services overview, and responsible AI. Build a working knowledge of the platform.
  • Week 3: Deep-dive on generative AI — Azure OpenAI, prompt engineering, agents, RAG patterns. Build at least one working RAG prototype with Azure AI Search.
  • Week 4: Computer Vision and Text Analysis — image analysis, OCR, Content Understanding, Language service, Speech.
  • Week 5: Information Extraction — Document Intelligence + Azure AI Search end-to-end. Start scenario-based practice tests.
  • Week 6: Two full timed mock exams. Review every wrong answer and the reasoning. Target consistent 80%+ scores before booking.

Also Preparing For

Candidates studying AI-103 often prepare for these certifications next.

AI-901

Microsoft Azure AI Fundamentals

Practice test →AI-900

Azure AI Fundamentals

Practice test →AZ-104

Azure Administrator

Practice test →