MICROSOFTMicrosoft Certified:Azure AI Engineer Associate
The Microsoft Certified: Azure AI Engineer Associate certification validates your ability to design and implement AI solutions using Azure AI services. It is aimed at AI engineers responsible for building, managing, and deploying AI solutions. Earning it demonstrates your expertise in leveraging Azure AI to create secure and scalable AI applications.
691 practice questions · Updated 2026-07-30
6Domains
17Objectives
138Concepts
691Questions
AI-102 Curriculum
Every domain, objective, and concept the AI-102 exam measures.
- Generative AI Services
- Computer Vision Services
- Natural Language Processing Services
- Speech Services
- Information Extraction Services
- Knowledge Mining Services
- Responsible AI Principles
- Azure AI Resource Creation
- AI Model Selection
- AI Model Deployment Options
- SDK and API Utilization
- Service Endpoint Determination
- CI/CD Integration
- Container Deployment Planning
- Azure AI Resource Monitoring
- Cost Management for Foundry Services
- Account Key Protection
- Authentication Management
- Content Moderation Solutions
- Responsible AI Insights Configuration
- Content Filters and Blocklists
- Harmful Behavior Prevention
- Responsible AI Governance Framework
- GenerativeAIPlanning
- MicrosoftFoundryDeployment
- GenerativeAIModelSelection
- PromptFlowImplementation
- RAGPatternImplementation
- ModelEvaluation
- ApplicationIntegration
- PromptTemplateUtilization
- Provision Azure OpenAI Resource
- Select Azure OpenAI Model
- Deploy Azure OpenAI Model
- Submit Prompts for Code Generation
- Submit Prompts for Natural Language
- Generate Images with DALL-E
- Integrate Azure OpenAI in Applications
- Use Large Multimodal Models
- Generative Parameter Configuration
- Model Monitoring Setup
- Resource Optimization for Deployment
- Enable Tracing and Feedback Collection
- Model Reflection Implementation
- Container Deployment for Edge Devices
- Generative Model Orchestration
- Prompt Engineering Techniques
- Generative Model Fine-Tuning
- AgentRoleAndUseCases
- ResourceConfigurationForAgents
- MicrosoftFoundryAgentService
- ComplexAgentImplementation
- MultiAgentOrchestration
- AgentTestingAndOptimization
- VisualFeatureSelection
- ObjectDetection
- ImageAnalysisIntegration
- ImageProcessingResponseInterpretation
- TextExtractionFromImages
- HandwrittenTextConversion
- Image Classification vs Object Detection
- Image Labeling
- Train Custom Image Model
- Evaluate Model Metrics
- Publish Custom Vision Model
- Consume Custom Vision Model
- Code-First Custom Vision Model
- Azure AI Video Indexer Overview
- Video Indexer Setup
- Extracting Insights from Video
- Azure Vision in Foundry Tools Overview
- Spatial Analysis Configuration
- Detecting People in Video
- Analyzing Movement in Video
- Key Phrase Extraction
- Entity Recognition
- Sentiment Analysis
- Language Detection
- PII Detection
- Text Translation
- Generative AI Speaking Integration
- Text-to-Speech Implementation
- Speech-to-Text Implementation
- SSML for Text-to-Speech Enhancement
- Custom Speech Solutions
- Intent Recognition Implementation
- Keyword Recognition Implementation
- Speech-to-Speech Translation
- Speech-to-Text Translation
- DefineIntents
- DefineEntities
- AddUtterances
- TrainLanguageModel
- EvaluateLanguageModel
- DeployLanguageModel
- TestLanguageModel
- OptimizeLanguageModel
- BackupLanguageModel
- RecoverLanguageModel
- ConsumeLanguageModel
- CreateCustomQAProject
- AddQAPairs
- ImportQASources
- TrainKnowledgeBase
- TestKnowledgeBase
- PublishKnowledgeBase
- CreateMultiTurnConversation
- AddAlternatePhrasing
- ExportKnowledgeBase
- CreateMultiLanguageQA
- ImplementCustomTranslation
- Provision Azure AI Search Resource
- Create Index
- Define Skillset
- Create Data Sources
- Create Indexers
- Implement Custom Skills
- Include Custom Skills in Skillset
- Run Indexer
- Query Index
- Manage Knowledge Store Projections
- Implement Semantic Search
- Implement Vector Store Solutions
- Provision Document Intelligence Resource
- Use Prebuilt Models
- Implement Custom Document Model
- Train Custom Model
- Test Custom Model
- Publish Custom Model
- Create Composed Model
- OCR Pipeline Creation
- Document Summarization
- Document Classification
- Attribute Detection
- Entity Extraction
- Table Extraction
- Image Extraction
- Content Processing
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Percentages reflect share of the current practice bank, not official exam weightings — no structured per-skill weight is published for AI-102, so none is invented.