Your Complete Guide to Passing AI-102 in 2026

The Microsoft AI-102: Designing and Implementing a Microsoft Azure AI Solution exam is one of the most sought-after certifications for AI engineers. Whether you're new to Azure AI or looking to validate your skills, this guide gives you everything you need to pass on your first attempt.

AI-102 Exam Overview

The AI-102 exam tests your ability to design and implement AI solutions using Azure Cognitive Services, Azure Bot Service, and Azure Machine Learning. Here's what you need to know:

  • Duration: 120 minutes
  • Questions: 40-60 questions (multiple choice, drag-and-drop, case studies)
  • Passing score: 700 out of 1000
  • Cost: $165 USD
  • Validity: 1 year (free renewal assessment available)

Exam Domains & Weightage (2026)

Understanding the domain weightage is critical for allocating your study time effectively. Here's the current breakdown:

Plan and manage an Azure AI solution (15-20%)
Implement content moderation solutions (10-15%)
Implement computer vision solutions (15-20%)
Implement natural language processing solutions (25-30%)
Implement knowledge mining and document intelligence solutions (10-15%)
Implement generative AI solutions (10-15%)

1. Plan and Manage an Azure AI Solution (15-20%)

This domain covers selecting the right Azure AI services, managing authentication, networking, and compliance. Key topics include:

  • Selecting appropriate Azure AI services for specific use cases
  • Managing account keys and Azure Key Vault integration
  • Implementing responsible AI practices
  • Planning and configuring network security for AI resources

2. Implement Computer Vision Solutions (15-20%)

Expect questions on Azure Computer Vision, Custom Vision, and Face API. Focus on:

  • Image analysis and tagging with Computer Vision API
  • Training and deploying Custom Vision models
  • Implementing face detection and verification
  • Reading text with OCR and Document Intelligence

3. Natural Language Processing (25-30%) — Highest Weight

NLP is the largest domain on the exam. Prioritize studying:

  • Azure AI Language service: entity recognition, sentiment analysis, key phrase extraction
  • Building conversational language understanding (CLU) models
  • Implementing question answering solutions
  • Translation services and multi-language support
  • Custom text classification and named entity recognition

4. Generative AI Solutions (10-15%)

The newest domain, covering Azure OpenAI Service:

  • Deploying and managing Azure OpenAI models
  • Implementing prompt engineering techniques
  • Building RAG (Retrieval-Augmented Generation) solutions
  • Content filtering and responsible AI for generative models

Recommended Study Plan (6 Weeks)

Here's a structured approach that works for most candidates:

  • Weeks 1-2: Complete Microsoft Learn modules for AI-102. Focus on NLP (highest weight).
  • Weeks 3-4: Hands-on labs in Azure portal. Build at least one project using Cognitive Services.
  • Week 5: Practice tests. Aim for 80%+ consistently before booking your exam.
  • Week 6: Review weak areas, retake practice tests, and schedule your exam.

Top Study Tips

  • Practice tests are essential — they're the closest thing to the real exam experience
  • Don't just read docs — build in the Azure portal
  • Focus most time on NLP (25-30%) and Computer Vision (15-20%)
  • Understand the difference between services (when to use Language vs. OpenAI vs. Bot Service)

Ready to Start Preparing?

Our AI-102 practice tests include 300+ questions mapped to every exam domain, with detailed explanations for each answer. Try 20 free questions to see how you score today.