AI-102 logo
Focused certification exam prep
Start practice

AI-102 Cheat Sheet 2026: One-Page Review of Must-Know Facts

TL;DR
  • The original AI-102 exam and its associate credential retired June 30, 2026, at 11:59 PM Central.
  • The active successor is AI-103, awarding Microsoft Certified: Azure AI Apps and Agents Developer Associate.
  • Domain 2, generative AI and agentic solutions, is the heaviest band at 30-35%.
  • Passing score is 700 on a 100-1000 scale; exam runs 120 minutes via Pearson VUE.

Status Check: What "AI-102" Means in 2026

Before you memorize a single acronym, get the timeline straight. Exam AI-102, Designing and Implementing a Microsoft Azure AI Solution, along with the credential Microsoft Certified: Azure AI Engineer Associate, retired on June 30, 2026 at 11:59 PM Central. The renewal assessment tied to that credential retired with it. That means AI-102 can no longer be scheduled, taken, or renewed by anyone starting from scratch after that date.

If you already held the credential before retirement, it stays listed in the Active Certifications section of your Microsoft Learn transcript until its printed expiration date - but there is no renewal path once that date passes. The commercially and technically correct move for anyone searching "AI-102" today is to prepare for its live successor, Exam AI-103, Developing AI Apps and Agents on Azure, which awards Microsoft Certified: Azure AI Apps and Agents Developer Associate. The training line moved too: AI-103T00-A, a four-day course, replaced AI-102T00 at the training level.

Bottom line: Every fact, domain weight, and study plan on this page reflects the current, earnable credential. For a full walkthrough of what changed and why, see the AI-102 Study Guide 2026.

Exam Mechanics at a Glance

This is the section to screenshot. It compresses the logistics you need before you book a seat.

  • Delivery: Pearson VUE, at a test center or via online proctoring.
  • Duration: 120 minutes, proctored, and the exam may include interactive components rather than pure multiple choice.
  • Passing score: 700 out of a 100-1000 scale. Microsoft does not publish a fixed item count or a pass rate for this exam.
  • Price: $165 USD at standard US pricing; the amount varies depending on the country or region where you sit the exam.
  • Prerequisites: None formally required, though the audience profile assumes app development experience in Python plus familiarity with general AI, generative AI, and Azure services.
  • Currency of content: Skills measured are current as of April 16, 2026. Most questions target generally available features, though commonly used preview features can appear.

For a granular breakdown of exactly what 700 represents and how scaled scoring works, read the AI-102 Passing Score 2026 guide. If budgeting matters to your plan, the AI-102 Certification Cost breakdown covers regional pricing nuances in more depth than this cheat sheet has room for.

The Five Domains, Fast

AI-102 content is organized into five measured domains. Weightings tell you where to spend hours, not just what to read.

Domain 1: Plan and manage an Azure AI solution (25-30%)

Covers provisioning, securing, and governing AI resources before you write application logic.

  • Resource planning, cost management, and access control patterns
  • Monitoring, logging, and responsible AI safeguards

Domain 2: Implement generative AI and agentic solutions (30-35%)

The single largest band on the exam and the one most likely to decide your score. Detailed below.

  • RAG pipelines, multi-agent orchestration, tool schemas
  • Agent evaluation, tracing, and token analytics

Domain 3: Implement computer vision solutions (10-15%)

Image and video analysis workflows built on Azure AI vision capabilities.

  • Image classification, object detection, and spatial analysis patterns

Domain 4: Implement text analysis solutions (10-15%)

Language understanding tasks separate from generative flows - entity recognition, sentiment, and language detection.

  • Custom text classification and key phrase extraction

Domain 5: Implement information extraction solutions (10-15%)

Document- and content-heavy extraction pipelines that feed structured data into downstream apps.

  • Structured extraction from forms, documents, and mixed content

Want the long-form version of each bullet above, with subtopic lists and study sequencing? That lives in the AI-102 Exam Domains 2026 guide, which pairs well with this cheat sheet as a working reference.

Domain 2 Deep Dive: Generative AI and Agentic Solutions

Because this domain carries 30-35% of the exam - more than any other single band - it deserves its own section even on a cheat sheet. Candidates consistently underestimate how much of the exam has shifted toward agent design rather than static prompt engineering.

What "generative AI and agentic" actually tests: Expect scenario questions on retrieval-augmented generation architecture, orchestrating multiple agents against a shared task, defining function-calling schemas that tools can consume reliably, and designing conversation memory that persists context across turns without leaking state between users.
  • RAG implementation: chunking strategy, grounding data selection, and retrieval quality tradeoffs.
  • Multi-agent orchestration: when to split a workflow across agents versus keep it single-agent, and how handoffs are structured.
  • Function calling and tool schemas: defining parameters and return contracts an agent can call deterministically.
  • Conversation memory: short-term versus persisted memory and how it affects agent behavior over long sessions.
  • Agent evaluation and error analysis: reading evaluation output to identify failure modes before shipping.
  • Tracing and token analytics: using trace data to debug agent decisions and monitor token consumption.
  • Autonomous workflows with approval controls: designing human-in-the-loop checkpoints for actions an agent shouldn't take unsupervised.

If you're still deciding how much time this domain deserves relative to the other four, the How Hard Is the AI-102 Exam? guide breaks down where most candidates report friction.

Tools and Services You Must Recognize

The exam expects working knowledge of a specific technology stack, not vague AI familiarity. Know what each one does and where it fits in an architecture diagram:

  • Microsoft Foundry and Foundry Agent Service - the platform and runtime for building and hosting agents.
  • Microsoft Agent Framework - the development framework for orchestrating agent logic.
  • Azure OpenAI in Foundry Models - model access and deployment inside Foundry.
  • Azure AI Search - the retrieval layer behind most RAG implementations.
  • Azure Content Understanding in Foundry Tools and Azure Document Intelligence in Foundry Tools - extraction and multimodal content processing, tied closely to Domain 5.
  • Azure Speech and Azure Translator - voice and language services that surface in text and vision scenario questions alike.

Key Takeaway

Don't just memorize service names - practice mapping each one to the domain it supports. Foundry Agent Service and Agent Framework map to Domain 2; Document Intelligence maps heavily to Domain 5.

Registration, Fees, and Retake Rules

Registration runs through Pearson VUE. Standard US pricing is $165 USD, though the figure shifts based on the country or region where you sit the exam - always confirm local pricing at booking rather than assuming the US rate applies.

If your first attempt doesn't clear 700, you can retake after a 24-hour wait. Subsequent failed attempts carry progressively longer waiting periods, so treat the first sitting seriously rather than as a "free look." There's no cap mentioned on total attempts, but each retake still costs full price.

Practical tip: Because there's no published item count or pass rate, don't chase rumored numbers online - focus on scenario fluency across all five domains instead of trying to reverse-engineer exam length. Full eligibility details live in the AI-102 Requirements guide.

Renewal Without Retesting

Once earned, Microsoft associate certifications - including this one - expire annually. Renewal doesn't require walking back into a Pearson VUE center. Instead, you pass a free, unproctored online assessment through Microsoft Learn before the expiration date. Set a calendar reminder roughly a month ahead so a lapsed certification doesn't quietly fall off your active transcript.

One Week Per Domain: A Fast-Reference Schedule

If you're building a study calendar around this cheat sheet, weight your weeks the same way Microsoft weights the exam. Generic study techniques - spaced repetition, timed practice blocks - only matter if you're pointing them at the right domain at the right time.

Week 1

Domain 1 - Plan and Manage

  • Resource provisioning, security, and monitoring fundamentals
Weeks 2-3

Domain 2 - Generative AI and Agentic Solutions

  • Double the time here given the 30-35% weight; drill RAG, orchestration, and tool schemas
Week 4

Domain 3 - Computer Vision

  • Image and video analysis scenario practice
Week 5

Domain 4 - Text Analysis

  • Entity recognition, sentiment, custom classification
Week 6

Domain 5 - Information Extraction

  • Document Intelligence and Content Understanding workflows, then full review

For a more detailed week-by-week narrative with daily task breakdowns, see the full AI-102 Study Guide 2026. When you're ready to test retention under real exam conditions, run timed sets on the AI-102 practice test platform rather than passively re-reading notes.

Quick Comparison Table

AttributeOriginal AI-102 (retired)Current AI-103 (live)
Credential awardedAzure AI Engineer AssociateAzure AI Apps and Agents Developer Associate
StatusRetired June 30, 2026, 11:59 PM CentralActive, earnable now
Associated trainingAI-102T00AI-103T00-A (four days)
RenewalNo longer availableFree annual online assessment
Heaviest domainN/AGenerative AI and agentic solutions, 30-35%

Curious how this maps to actual hiring demand? The AI-102 Jobs overview and AI-102 Salary Guide look at who's hiring for these skills and how the credential factors into compensation conversations. If you're still weighing whether to invest the study hours at all, Is the AI-102 Certification Worth It? walks through the ROI case directly.

FAQ

Can I still register for the original AI-102 exam in 2026?

No. Exam AI-102 and its associated credential retired on June 30, 2026 at 11:59 PM Central, along with the renewal assessment. Anyone certifying now sits Exam AI-103 instead.

If I already passed AI-102, do I lose my certification immediately?

No. It remains in the Active Certifications section of your Microsoft Learn transcript until its printed expiration date. There's simply no renewal path once that date arrives - you'd need to earn the new credential instead.

What score do I need to pass, and how long is the exam?

You need 700 on a 100-1000 scale. The exam runs 120 minutes, proctored through Pearson VUE, and may include interactive question components.

Which domain should I prioritize if I'm short on study time?

Implement generative AI and agentic solutions, at 30-35%, is the largest single band. Prioritize RAG, multi-agent orchestration, function calling, and agent evaluation before the lighter-weighted domains.

Do I need to retake a full proctored exam every year to stay certified?

No. Renewal happens through a free, unproctored online assessment on Microsoft Learn before your annual expiration date - no Pearson VUE visit required.

Ready to pass your AI-102 exam?

Put this into practice with free AI-102 questions across every exam domain.