Microsoft AI-900 Study Guide (Retired Exam, Replaced by AI-901)

This guide was written while the AI-900 exam was current. It is kept for reference and no longer describes an exam you can take.

Exam Overview (Historical)

• Certification: Microsoft AI-900
• Exam Code: AI-900
• Vendor: Microsoft
• Status: Retired
• Passing Score: 700 out of 1000

Domain Breakdown (Historical)

These domains and weights describe the retired AI-900 exam as last documented on this site. For a current exam, use the outline on Microsoft Learn.

Domain 1: AI Workloads and Considerations (15-20%)

• 1.1 Identify features of common AI workloads
• 1.2 Identify guiding principles for responsible AI

Key concepts: Anomaly Detection, Computer Vision, NLP, Conversational AI, Responsible AI, Fairness, Transparency, Accountability

Domain 2: Machine Learning Principles on Azure (15-20%)

• 2.1 Identify common machine learning types
• 2.2 Describe core machine learning concepts
• 2.3 Describe Azure Machine Learning capabilities

Key concepts: Supervised Learning, Unsupervised Learning, Regression, Classification, Clustering, Azure ML Studio, Automated ML, Model Deployment

Domain 3: Computer Vision Workloads on Azure (15-20%)

• 3.1 Identify common types of computer vision solutions
• 3.2 Identify Azure tools and services for computer vision

Key concepts: Image Classification, Object Detection, OCR, Face API, Custom Vision, Azure AI Vision, Spatial Analysis, Video Indexer

Domain 4: Natural Language Processing on Azure (15-20%)

• 4.1 Identify features of common NLP workload scenarios
• 4.2 Identify Azure tools and services for NLP

Key concepts: Text Analytics, Sentiment Analysis, Key Phrase Extraction, Language Understanding, Translator, Speech Services, QnA Maker, Bot Framework

Domain 5: Generative AI Workloads on Azure (20-25%)

• 5.1 Identify features of generative AI solutions
• 5.2 Identify capabilities of Azure OpenAI Service

Key concepts: Azure OpenAI, GPT Models, DALL-E, Prompt Engineering, Responsible AI for GenAI, Grounding, Content Filtering, Embeddings

Practice Resources (Legacy)

Test your knowledge with our free tools:

Take our archived Microsoft AI-900 practice quiz

• CVSS Calculator: Practice scoring vulnerabilities
• Password Strength Checker: Test password security

What to Study Instead

Start with AI-901. Its skills measured are Identify AI concepts and capabilities (40-45%) and Implement AI solutions by using Microsoft Foundry (55-60%), and the passing score is 700. Details are on the AI-901 exam page.

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